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awesome-bigdata

by oxnr

awesome listpushed over 2 years ago

A curated list of awesome big data frameworks, ressources and other awesomeness.

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Big Data Platform

A curated collection of resources and frameworks for working with big data

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What's in the list

620 links in 38 sections, with live GitHub stats.activeno commit in 2y

RDBMS

  • MySQL

    The world's most popular open source database

  • PostgreSQL

    The world's most advanced open source database

  • Oracle Database

    object-relational database management system

  • Teradata

    high-performance MPP data warehouse platform

Frameworks

  • Bistro

    general-purpose data processing engine for both batch and stream analytics. It is based on a novel data model, which represents data via and processes data via as opposed to having only set operations in conventional approaches like MapReduce or SQL

  • IBM Streams

    platform for distributed processing and real-time analytics. Integrates with many of the popular technologies in the Big Data ecosystem (Kafka, HDFS, Spark, etc.)

  • Apache Hadoop

    framework for distributed processing. Integrates MapReduce (parallel processing), YARN (job scheduling) and HDFS (distributed file system)

  • Tigon

    High Throughput Real-time Stream Processing Framework

  • Pachyderm

    Pachyderm is a data storage platform built on Docker and Kubernetes to provide reproducible data processing and analysis

  • Polyaxon

    A platform for reproducible and scalable machine learning and deep learning

  • Smooks

    An extensible Java framework for building XML and non-XML (CSV, EDI, Java, etc...) streaming applications

Distributed Programming

  • AddThis Hydra

    distributed data processing and storage system originally developed at AddThis

  • AMPLab SIMR

    run Spark on Hadoop MapReduce v1

  • Apache APEX

    a unified, enterprise platform for big data stream and batch processing

  • Apache Beam

    an unified model and set of language-specific SDKs for defining and executing data processing workflows

  • Apache Crunch

    a simple Java API for tasks like joining and data aggregation that are tedious to implement on plain MapReduce

  • Apache DataFu

    collection of user-defined functions for Hadoop and Pig developed by LinkedIn

  • Apache Flink

    high-performance runtime, and automatic program optimization

  • Apache Gearpump

    real-time big data streaming engine based on Akka

  • Apache Gora

    framework for in-memory data model and persistence

  • Apache Hama

    BSP (Bulk Synchronous Parallel) computing framework

  • Apache MapReduce

    programming model for processing large data sets with a parallel, distributed algorithm on a cluster

  • Apache Pig

    high level language to express data analysis programs for Hadoop

  • Apache REEF

    retainable evaluator execution framework to simplify and unify the lower layers of big data systems

  • Apache S4

    framework for stream processing, implementation of S4

  • Apache Spark

    framework for in-memory cluster computing

  • Apache Spark Streaming

    framework for stream processing, part of Spark

  • Apache Storm

    framework for stream processing by Twitter also on YARN

  • Apache Samza

    stream processing framework, based on Kafka and YARN

  • Apache Tez

    application framework for executing a complex DAG (directed acyclic graph) of tasks, built on YARN

  • Apache Twill

    abstraction over YARN that reduces the complexity of developing distributed applications

  • Baidu Bigflow

    an interface that allows for writing distributed computing programs providing lots of simple, flexible, powerful APIs to easily handle data of any scale

  • Cascalog

    data processing and querying library

  • Cheetah

    High Performance, Custom Data Warehouse on Top of MapReduce

  • Concurrent Cascading

    framework for data management/analytics on Hadoop

  • Damballa Parkour

    MapReduce library for Clojure

  • Datasalt Pangool

    alternative MapReduce paradigm

  • DataTorrent StrAM

    real-time engine is designed to enable distributed, asynchronous, real time in-memory big-data computations in as unblocked a way as possible, with minimal overhead and impact on performance

  • Facebook Corona

    Hadoop enhancement which removes single point of failure

  • Facebook Peregrine

    Map Reduce framework

  • Facebook Scuba

    distributed in-memory datastore

  • Google Dataflow

    create data pipelines to help themæingest, transform and analyze data

  • Google MapReduce

    map reduce framework

  • Google MillWheel

    fault tolerant stream processing framework

  • IBM Streams

    platform for distributed processing and real-time analytics. Provides toolkits for advanced analytics like geospatial, time series, etc. out of the box

  • JAQL

    declarative programming language for working with structured, semi-structured and unstructured data

  • Kite

    is a set of libraries, tools, examples, and documentation focused on making it easier to build systems on top of the Hadoop ecosystem

  • Metamarkets Druid

    framework for real-time analysis of large datasets

  • Netflix PigPen

    map-reduce for Clojure which compiles to Apache Pig

  • Nokia Disco

    MapReduce framework developed by Nokia

  • Onyx

    Distributed computation for the cloud

  • Pinterest Pinlater

    asynchronous job execution system

  • Pydoop

    Python MapReduce and HDFS API for Hadoop

  • Ray

    A fast and simple framework for building and running distributed applications

  • Rackerlabs Blueflood

    multi-tenant distributed metric processing system

  • Skale

    High performance distributed data processing in NodeJS

  • Stratosphere

    general purpose cluster computing framework

  • Streamdrill

    useful for counting activities of event streams over different time windows and finding the most active one

  • streamsx.topology

    Libraries to enable building IBM Streams application in Java, Python or Scala

  • Tuktu

    Easy-to-use platform for batch and streaming computation, built using Scala, Akka and Play!

  • Twitter Heron

    Heron is a realtime, distributed, fault-tolerant stream processing engine from Twitter replacing Storm

  • Twitter Scalding

    Scala library for Map Reduce jobs, built on Cascading

  • Twitter Summingbird

    Streaming MapReduce with Scalding and Storm, by Twitter

  • Twitter TSAR

    TimeSeries AggregatoR by Twitter

  • Wallaroo

    The ultrafast and elastic data processing engine. Big or fast data - no fuss, no Java needed

Distributed Filesystem

Distributed Index

  • Pilosa

    Open source distributed bitmap index that dramatically accelerates queries across multiple, massive data sets

Document Data Model

  • Actian Versant

    commercial object-oriented database management systems

  • Crate Data

    is an open source massively scalable data store. It requires zero administration

  • Facebook Apollo

    Facebook’s Paxos-like NoSQL database

  • jumboDB

    document oriented datastore over Hadoop

  • LinkedIn Espresso

    horizontally scalable document-oriented NoSQL data store

  • MarkLogic

    Schema-agnostic Enterprise NoSQL database technology

  • Microsoft Azure DocumentDB

    NoSQL cloud database service with protocol support for MongoDB

  • MongoDB

    Document-oriented database system

  • RavenDB

    A transactional, open-source Document Database

  • RethinkDB

    document database that supports queries like table joins and group by

Key Map Data Model

  • Apache Accumulo

    distributed key/value store, built on Hadoop

  • Apache Cassandra

    column-oriented distributed datastore, inspired by BigTable

  • Apache HBase

    column-oriented distributed datastore, inspired by BigTable

  • Baidu Tera

    an Internet-scale database, inspired by BigTable

  • Facebook HydraBase

    evolution of HBase made by Facebook

  • Google BigTable

    column-oriented distributed datastore

  • Google Cloud Datastore

    is a fully managed, schemaless database for storing non-relational data over BigTable

  • Hypertable

    column-oriented distributed datastore, inspired by BigTable

  • InfiniDB

    is accessed through a MySQL interface and use massive parallel processing to parallelize queries

  • Tephra

    Transactions for HBase

  • Twitter Manhattan

    real-time, multi-tenant distributed database for Twitter scale

  • ScyllaDB

    column-oriented distributed datastore written in C++, totally compatible with Apache Cassandra

Key-value Data Model

  • Aerospike

    NoSQL flash-optimized, in-memory. Open source and "Server code in 'C' (not Java or Erlang) precisely tuned to avoid context switching and memory copies."

  • Amazon DynamoDB

    distributed key/value store, implementation of Dynamo paper

  • Badger

    a fast, simple, efficient, and persistent key-value store written natively in Go

  • Bolt

    an embedded key-value database for Go

  • BTDB

    Key Value Database in .Net with Object DB Layer, RPC, dynamic IL and much more

  • BuntDB

    a fast, embeddable, in-memory key/value database for Go with custom indexing and geospatial support

  • Edis

    is a protocol-compatible Server replacement for Redis

  • ElephantDB

    Distributed database specialized in exporting data from Hadoop

  • EventStore

    distributed time series database

  • GhostDB

    a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale

  • Graviton

    a simple, fast, versioned, authenticated, embeddable key-value store database in pure Go(lang)

  • GridDB

    suitable for sensor data stored in a timeseries

  • HyperDex

    a scalable, next generation key-value and document store with a wide array of features, including consistency, fault tolerance and high performance

  • Ignite

    is an in-memory key-value data store providing full SQL-compliant data access that can optionally be backed by disk storage

  • LinkedIn Krati

    is a simple persistent data store with very low latency and high throughput

  • Linkedin Voldemort

    distributed key/value storage system

  • Oracle NoSQL Database

    distributed key-value database by Oracle Corporation

  • Redis

    in memory key value datastore

  • Riak

    a decentralized datastore

  • Storehaus

    library to work with asynchronous key value stores, by Twitter

  • SummitDB

    an in-memory, NoSQL key/value database, with disk persistance and using the Raft consensus algorithm

  • Tarantool

    an efficient NoSQL database and a Lua application server

  • TiKV

    a distributed key-value database powered by Rust and inspired by Google Spanner and HBase

  • Tile38

    a geolocation data store, spatial index, and realtime geofence, supporting a variety of object types including latitude/longitude points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON

  • TreodeDB

    key-value store that's replicated and sharded and provides atomic multirow writes

Graph Data Model

  • AgensGraph

    a new generation multi-model graph database for the modern complex data environment

  • Apache Giraph

    implementation of Pregel, based on Hadoop

  • Apache Spark Bagel

    implementation of Pregel, part of Spark

  • ArangoDB

    multi model distributed database

  • DGraph

    A scalable, distributed, low latency, high throughput graph database aimed at providing Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data

  • EliasDB

    a lightweight graph based database that does not require any third-party libraries

  • Facebook TAO

    TAO is the distributed data store that is widely used at facebook to store and serve the social graph

  • GCHQ Gaffer

    Gaffer by GCHQ is a framework that makes it easy to store large-scale graphs in which the nodes and edges have statistics

  • Google Cayley

    open-source graph database

  • Google Pregel

    graph processing framework

  • GraphLab PowerGraph

    a core C++ GraphLab API and a collection of high-performance machine learning and data mining toolkits built on top of the GraphLab API

  • GraphX

    resilient Distributed Graph System on Spark

  • Gremlin

    graph traversal Language

  • Infovore

    RDF-centric Map/Reduce framework

  • Intel GraphBuilder

    tools to construct large-scale graphs on top of Hadoop

  • JanusGraph

    open-source, distributed graph database with multiple options for storage backends (Bigtable, HBase, Cassandra, etc.) and indexing backends (Elasticsearch, Solr, Lucene)

  • MapGraph

    Massively Parallel Graph processing on GPUs

  • Microsoft Graph Engine

    a distributed in-memory data processing engine, underpinned by a strongly-typed in-memory key-value store and a general distributed computation engine

  • Neo4j

    graph database written entirely in Java

  • OrientDB

    document and graph database

  • Phoebus

    framework for large scale graph processing

  • Titan

    distributed graph database, built over Cassandra

  • Twitter FlockDB

    distributed graph database

  • NodeXL

    A free, open-source template for Microsoft® Excel® 2007, 2010, 2013 and 2016 that makes it easy to explore network graphs

Columnar Databases

  • Columnar Storage

    an explanation of what columnar storage is and when you might want it

  • Actian Vector

    column-oriented analytic database

  • ClickHouse

    an open-source column-oriented database management system that allows generating analytical data reports in real time

  • EventQL

    a distributed, column-oriented database built for large-scale event collection and analytics

  • MonetDB

    column store database

  • Parquet

    columnar storage format for Hadoop

  • Pivotal Greenplum

    purpose-built, dedicated analytic data warehouse that offers a columnar engine as well as a traditional row-based one

  • Vertica

    is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses

  • SQream DB

    A GPU powered big data database, designed for analytics and data warehousing, with ANSI-92 compliant SQL, suitable for data sets from 10TB to 1PB

  • Google BigQuery

    Google's cloud offering backed by their pioneering work on Dremel

  • Amazon Redshift

    Amazon's cloud offering, also based on a columnar datastore backend

  • IndexR

    an open-source columnar storage format for fast & realtime analytic with big data

  • LocustDB

    an experimental analytics database aiming to set a new standard for query performance on commodity hardware

NewSQL Databases

  • Actian Ingres

    commercially supported, open-source SQL relational database management system

  • ActorDB

    a distributed SQL database with the scalability of a KV store, while keeping the query capabilities of a relational database

  • Amazon RedShift

    data warehouse service, based on PostgreSQL

  • BayesDB

    statistic oriented SQL database

  • Bedrock

    a simple, modular, networked and distributed transaction layer built atop SQLite

  • CitusDB

    scales out PostgreSQL through sharding and replication

  • Cockroach

    Scalable, Geo-Replicated, Transactional Datastore

  • Comdb2

    a clustered RDBMS built on optimistic concurrency control techniques

  • Datomic

    distributed database designed to enable scalable, flexible and intelligent applications

  • FoundationDB

    distributed database, inspired by F1

  • Google F1

    distributed SQL database built on Spanner

  • Google Spanner

    globally distributed semi-relational database

  • H-Store

    is an experimental main-memory, parallel database management system that is optimized for on-line transaction processing (OLTP) applications

  • Haeinsa

    linearly scalable multi-row, multi-table transaction library for HBase based on Percolator

  • HandlerSocket

    NoSQL plugin for MySQL/MariaDB

  • InfiniSQL

    infinity scalable RDBMS

  • KarelDB

    a relational database backed by Apache Kafka

  • Map-D

    GPU in-memory database, big data analysis and visualization platform

  • MemSQL

    in memory SQL database witho optimized columnar storage on flash

  • NuoDB

    SQL/ACID compliant distributed database

  • Oracle TimesTen in-Memory Database

    in-memory, relational database management system with persistence and recoverability

  • Pivotal GemFire XD

    Low-latency, in-memory, distributed SQL data store. Provides SQL interface to in-memory table data, persistable in HDFS

  • SAP HANA

    is an in-memory, column-oriented, relational database management system

  • SenseiDB

    distributed, realtime, semi-structured database

  • Sky

    database used for flexible, high performance analysis of behavioral data

  • SymmetricDS

    open source software for both file and database synchronization

  • TiDB

    TiDB is a distributed SQL database. Inspired by the design of Google F1

  • VoltDB

    claims to be fastest in-memory database

  • yugabyteDB

    open source, high-performance, distributed SQL database compatible with PostgreSQL

Time-Series Databases

  • Axibase Time Series Database

    Integrated time series database on top of HBase with built-in visualization, rule-engine and SQL support

  • Chronix

    a time series storage built to store time series highly compressed and for fast access times

  • Cube

    uses MongoDB to store time series data

  • Heroic

    is a scalable time series database based on Cassandra and Elasticsearch

  • InfluxDB

    a time series database with optimised IO and queries, supports pgsql and influx wire protocols

  • QuestDB

    high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability

  • IronDB

    scalable, general-purpose time series database

  • Kairosdb

    similar to OpenTSDB but allows for Cassandra

  • M3DB

    a distributed time series database that can be used for storing realtime metrics at long retention

  • Newts

    a time series database based on Apache Cassandra

  • TDengine

    a time series database in C utilizing unique features of IoT to improve read/write throughput and reduce space needed to store data

  • OpenTSDB

    distributed time series database on top of HBase

  • Prometheus

    a time series database and service monitoring system

  • Beringei

    Facebook's in-memory time-series database

  • TrailDB

    an efficient tool for storing and querying series of events

  • Druid

    Column oriented distributed data store ideal for powering interactive applications

  • Riak-TS

    Riak TS is the only enterprise-grade NoSQL time series database optimized specifically for IoT and Time Series data

  • Akumuli

    Akumuli is a numeric time-series database. It can be used to capture, store and process time-series data in real-time. The word "akumuli" can be translated from esperanto as "accumulate"

  • Rhombus

    A time-series object store for Cassandra that handles all the complexity of building wide row indexes

  • Dalmatiner DB

    Fast distributed metrics database

  • Blueflood

    A distributed system designed to ingest and process time series data

  • Timely

    Timely is a time series database application that provides secure access to time series data based on Accumulo and Grafana

  • SiriDB

    Highly-scalable, robust and fast, open source time series database with cluster functionality

  • Thanos

    Thanos is a set of components to create a highly available metric system with unlimited storage capacity using multiple (existing) Prometheus deployments

  • VictoriaMetrics

    fast, scalable and resource-effective open-source TSDB compatible with Prometheus. Single-node and cluster versions included

SQL-like processing

  • Actian SQL for Hadoop

    high performance interactive SQL access to all Hadoop data

  • Apache Drill

    framework for interactive analysis, inspired by Dremel

  • Apache HCatalog

    table and storage management layer for Hadoop

  • Apache Hive

    SQL-like data warehouse system for Hadoop

  • Apache Calcite

    framework that allows efficient translation of queries involving heterogeneous and federated data

  • Apache Phoenix

    SQL skin over HBase

  • Aster Database

    SQL-like analytic processing for MapReduce

  • Cloudera Impala

    framework for interactive analysis, Inspired by Dremel

  • Concurrent Lingual

    SQL-like query language for Cascading

  • Datasalt Splout SQL

    full SQL query engine for big datasets

  • Dremio

    an open-source, SQL-like Data-as-a-Service Platform based on Apache Arrow

  • Facebook PrestoDB

    distributed SQL query engine

  • Google BigQuery

    framework for interactive analysis, implementation of Dremel

  • Materialize

    is a streaming database for real-time applications using SQL for queries and supporting a large fraction of PostgreSQL

  • Invantive SQL

    SQL engine for online and on-premise use with integrated local data replication and 70+ connectors

  • PipelineDB

    an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables

  • Pivotal HDB

    SQL-like data warehouse system for Hadoop

  • RainstorDB

    database for storing petabyte-scale volumes of structured and semi-structured data

  • Spark Catalyst

    is a Query Optimization Framework for Spark and Shark

  • SparkSQL

    Manipulating Structured Data Using Spark

  • Splice Machine

    a full-featured SQL-on-Hadoop RDBMS with ACID transactions

  • Stinger

    interactive query for Hive

  • Tajo

    distributed data warehouse system on Hadoop

  • Trafodion

    enterprise-class SQL-on-HBase solution targeting big data transactional or operational workloads

Data Ingestion

  • redpanda

    A Kafka® replacement for mission critical systems; 10x faster. Written in C++

  • Amazon Kinesis

    real-time processing of streaming data at massive scale

  • Amazon Web Services Glue

    serverless fully managed extract, transform, and load (ETL) service

  • Census

    A reverse ETL product that let you sync data from your data warehouse to SaaS Applications. No engineering favors required—just SQL

  • Apache Chukwa

    data collection system

  • Apache Flume

    service to manage large amount of log data

  • Apache Kafka

    distributed publish-subscribe messaging system

  • Apache NiFi

    Apache NiFi is an integrated data logistics platform for automating the movement of data between disparate systems

  • Apache Pulsar

    a distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API

  • Apache Sqoop

    tool to transfer data between Hadoop and a structured datastore

  • Embulk

    open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services

  • Facebook Scribe

    streamed log data aggregator

  • Fluentd

    tool to collect events and logs

  • Gazette

    Distributed streaming infrastructure built on cloud storage which makes it easy to mix and match batch and streaming paradigms

  • Google Photon

    geographically distributed system for joining multiple continuously flowing streams of data in real-time with high scalability and low latency

  • Heka

    open source stream processing software system

  • HIHO

    framework for connecting disparate data sources with Hadoop

  • Kestrel

    distributed message queue system

  • LinkedIn Databus

    stream of change capture events for a database

  • LinkedIn Kamikaze

    utility package for compressing sorted integer arrays

  • LinkedIn White Elephant

    log aggregator and dashboard

  • Logstash

    a tool for managing events and logs

  • Netflix Suro

    log agregattor like Storm and Samza based on Chukwa

  • Pinterest Secor

    is a service implementing Kafka log persistance

  • Linkedin Gobblin

    linkedin's universal data ingestion framework

  • Skizze

    sketch data store to deal with all problems around counting and sketching using probabilistic data-structures

  • StreamSets Data Collector

    continuous big data ingest infrastructure with a simple to use IDE

  • Alooma

    data pipeline as a service enabling moving data sources such as MySQL into data warehouses

  • RudderStack

    an open source customer data infrastructure (segment, mParticle alternative) written in go

  • Zilla

    An API gateway built for event-driven architectures and streaming that supports standard protocols such as HTTP, SSE, gRPC, MQTT and the native Kafka protocol

Service Programming

  • Akka Toolkit

    runtime for distributed, and fault tolerant event-driven applications on the JVM

  • Apache Avro

    data serialization system

  • Apache Curator

    Java libaries for Apache ZooKeeper

  • Apache Karaf

    OSGi runtime that runs on top of any OSGi framework

  • Apache Thrift

    framework to build binary protocols

  • Apache Zookeeper

    centralized service for process management

  • Google Chubby

    a lock service for loosely-coupled distributed systems

  • Hydrosphere Mist

    a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services

  • Linkedin Norbert

    cluster manager

  • Mara

    A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

  • OpenMPI

    message passing framework

  • Serf

    decentralized solution for service discovery and orchestration

  • Spotify Luigi

    a Python package for building complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more

  • Spring XD

    distributed and extensible system for data ingestion, real time analytics, batch processing, and data export

  • Twitter Elephant Bird

    libraries for working with LZOP-compressed data

  • Twitter Finagle

    asynchronous network stack for the JVM

Scheduling

  • Apache Airflow

    a platform to programmatically author, schedule and monitor workflows

  • Apache Aurora

    is a service scheduler that runs on top of Apache Mesos

  • Apache Falcon

    data management framework

  • Apache Oozie

    workflow job scheduler

  • Azure Data Factory

    cloud-based pipeline orchestration for on-prem, cloud and HDInsight

  • Chronos

    distributed and fault-tolerant scheduler

  • Cronicle

    Distributed, easy to install, NodeJS based, task scheduler

  • Dagster

    a data orchestrator for machine learning, analytics, and ETL

  • Linkedin Azkaban

    batch workflow job scheduler

  • Schedoscope

    Scala DSL for agile scheduling of Hadoop jobs

  • Sparrow

    scheduling platform

Machine Learning

  • Azure ML Studio

    Cloud-based AzureML, R, Python Machine Learning platform

  • brain

    Neural networks in JavaScript

  • Oryx

    Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

  • Concurrent Pattern

    machine learning library for Cascading

  • convnetjs

    Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser

  • DataVec

    A vectorization and data preprocessing library for deep learning in Java and Scala. Part of the Deeplearning4j ecosystem

  • Deeplearning4j

    Fast, open deep learning for the JVM (Java, Scala, Clojure). A neural network configuration layer powered by a C++ library. Uses Spark and Hadoop to train nets on multiple GPUs and CPUs

  • Decider

    Flexible and Extensible Machine Learning in Ruby

  • ENCOG

    machine learning framework that supports a variety of advanced algorithms, as well as support classes to normalize and process data

  • etcML

    text classification with machine learning

  • Etsy Conjecture

    scalable Machine Learning in Scalding

  • Feast

    A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving

  • GraphLab Create

    A machine learning platform in Python with a broad collection of ML toolkits, data engineering, and deployment tools

  • H2O

    statistical, machine learning and math runtime with Hadoop. R and Python

  • Karate Club

    An unsupervised machine learning library for graph structured data. Python

  • Keras

    An intuitive neural net API inspired by Torch that runs atop Theano and Tensorflow

  • Lambdo

    Lambdo is a workflow engine which significantly simplifies the analysis process by unifying feature engineering and machine learning operations

  • Little Ball of Fur

    A subsampling library for graph structured data. Python

  • Mahout

    An Apache-backed machine learning library for Hadoop

  • MLbase

    distributed machine learning libraries for the BDAS stack

  • MLPNeuralNet

    Fast multilayer perceptron neural network library for iOS and Mac OS X

  • ML Workspace

    All-in-one web-based IDE specialized for machine learning and data science

  • MOA

    MOA performs big data stream mining in real time, and large scale machine learning

  • MonkeyLearn

    Text mining made easy. Extract and classify data from text

  • ND4J

    A matrix library for the JVM. Numpy for Java

  • nupic

    Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms

  • PredictionIO

    machine learning server buit on Hadoop, Mahout and Cascading

  • PyTorch Geometric Temporal

    a temporal extension library for PyTorch Geometric

  • RL4J

    Reinforcement learning for Java and Scala. Includes Deep-Q learning and A3C algorithms, and integrates with Open AI's Gym. Runs in the Deeplearning4j ecosystem

  • SAMOA

    distributed streaming machine learning framework

  • scikit-learn

    scikit-learn: machine learning in Python

  • Shapley

    A data-driven framework to quantify the value of classifiers in a machine learning ensemble

  • Spark MLlib

    a Spark implementation of some common machine learning (ML) functionality

  • Sibyl

    System for Large Scale Machine Learning at Google

  • TensorFlow

    Library from Google for machine learning using data flow graphs

  • Theano

    A Python-focused machine learning library supported by the University of Montreal

  • Torch

    A deep learning library with a Lua API, supported by NYU and Facebook

  • Velox

    System for serving machine learning predictions

  • Vowpal Wabbit

    learning system sponsored by Microsoft and Yahoo!

  • WEKA

    suite of machine learning software

  • BidMach

    CPU and GPU-accelerated Machine Learning Library

Benchmarking

Security

  • Apache Ranger

    Central security admin & fine-grained authorization for Hadoop

  • Apache Eagle

    real time monitoring solution

  • Apache Knox Gateway

    single point of secure access for Hadoop clusters

  • Apache Sentry

    security module for data stored in Hadoop

  • BDA

    The vulnerability detector for Hadoop and Spark

System Deployment

  • Apache Ambari

    operational framework for Hadoop mangement

  • Apache Bigtop

    system deployment framework for the Hadoop ecosystem

  • Apache Helix

    cluster management framework

  • Apache Mesos

    cluster manager

  • Apache Slider

    is a YARN application to deploy existing distributed applications on YARN

  • Apache Whirr

    set of libraries for running cloud services

  • Apache YARN

    Cluster manager

  • Brooklyn

    library that simplifies application deployment and management

  • Buildoop

    Similar to Apache BigTop based on Groovy language

  • Cloudera HUE

    web application for interacting with Hadoop

  • Facebook Prism

    multi datacenters replication system

  • Google Borg

    job scheduling and monitoring system

  • Google Omega

    job scheduling and monitoring system

  • Hortonworks HOYA

    application that can deploy HBase cluster on YARN

  • Kubernetes

    a system for automating deployment, scaling, and management of containerized applications

  • Marathon

    Mesos framework for long-running services

  • Linkis

    Linkis helps easily connect to various back-end computation/storage engines

Applications

  • 411

    an web application for alert management resulting from scheduled searches into Elasticsearch

  • Adobe spindle

    Next-generation web analytics processing with Scala, Spark, and Parquet

  • Apache Metron

    a platform that integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis

  • Apache Nutch

    open source web crawler

  • Apache OODT

    capturing, processing and sharing of data for NASA's scientific archives

  • Apache Tika

    content analysis toolkit

  • Argus

    Time series monitoring and alerting platform

  • AthenaX

    a streaming analytics platform that enables users to run production-quality, large scale streaming analytics using Structured Query Language (SQL)

  • Atlas

    a backend for managing dimensional time series data

  • Countly

    open source mobile and web analytics platform, based on Node.js & MongoDB

  • Domino

    Run, scale, share, and deploy models — without any infrastructure

  • Eclipse BIRT

    Eclipse-based reporting system

  • ElastAert

    ElastAlert is a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in ElasticSearch

  • Eventhub

    open source event analytics platform

  • HASH

    open source simulation and visualization platform

  • Hermes

    asynchronous message broker built on top of Kafka

  • Hunk

    Splunk analytics for Hadoop

  • Imhotep

    Large scale analytics platform by indeed

  • Indicative

    Web & mobile analytics tool, with data warehouse (AWS, BigQuery) integration

  • Jupyter

    Notebook and project application for interactive data science and scientific computing across all programming languages

  • MADlib

    data-processing library of an RDBMS to analyze data

  • Kapacitor

    an open source framework for processing, monitoring, and alerting on time series data

  • Kylin

    open source Distributed Analytics Engine from eBay

  • PivotalR

    R on Pivotal HD / HAWQ and PostgreSQL

  • Rakam

    open-source real-time custom analytics platform powered by Postgresql, Kinesis and PrestoDB

  • Qubole

    auto-scaling Hadoop cluster, built-in data connectors

  • SnappyData

    a distributed in-memory data store for real-time operational analytics, delivering stream analytics, OLTP (online transaction processing) and OLAP (online analytical processing) built on Spark in a single integrated cluster

  • Snowplow

    enterprise-strength web and event analytics, powered by Hadoop, Kinesis, Redshift and Postgres

  • SparkR

    R frontend for Spark

  • Splunk

    analyzer for machine-generated data

  • Sumo Logic

    cloud based analyzer for machine-generated data

  • Substation

    Substation is a cloud native data pipeline and transformation toolkit written in Go

  • Talend

    unified open source environment for YARN, Hadoop, HBASE, Hive, HCatalog & Pig

Search engine and framework

  • Apache Lucene

    Search engine library

  • Apache Solr

    Search platform for Apache Lucene

  • Elassandra

    is a fork of Elasticsearch modified to run on top of Apache Cassandra in a scalable and resilient peer-to-peer architecture

  • ElasticSearch

    Search and analytics engine based on Apache Lucene

  • Enigma.io

    – Freemium robust web application for exploring, filtering, analyzing, searching and exporting massive datasets scraped from across the Web

  • Google Caffeine

    continuous indexing system

  • Google Percolator

    continuous indexing system

  • HBase Coprocessor

    implementation of Percolator, part of HBase

  • Lily HBase Indexer

    quickly and easily search for any content stored in HBase

  • LinkedIn Bobo

    is a Faceted Search implementation written purely in Java, an extension to Apache Lucene

  • LinkedIn Cleo

    is a flexible software library for enabling rapid development of partial, out-of-order and real-time typeahead search

  • LinkedIn Galene

    search architecture at LinkedIn

  • LinkedIn Zoie

    is a realtime search/indexing system written in Java

  • MG4J

    MG4J (Managing Gigabytes for Java) is a full-text search engine for large document collections written in Java. It is highly customisable, high-performance and provides state-of-the-art features and new research algorithms

  • Sphinx Search Server

    fulltext search engine

  • Vespa

    is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time

  • Facebook Faiss

    is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy

  • Annoy

    is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data

  • Weaviate

    Weaviate is a GraphQL-based semantic search engine with build-in (word) embeddings

MySQL forks and evolutions

  • Amazon RDS

    MySQL databases in Amazon's cloud

  • Drizzle

    evolution of MySQL 6.0

  • Google Cloud SQL

    MySQL databases in Google's cloud

  • MariaDB

    enhanced, drop-in replacement for MySQL

  • MySQL Cluster

    MySQL implementation using NDB Cluster storage engine

  • Percona Server

    enhanced, drop-in replacement for MySQL

  • ProxySQL

    High Performance Proxy for MySQL

  • TokuDB

    TokuDB is a storage engine for MySQL and MariaDB

  • WebScaleSQL

    is a collaboration among engineers from several companies that face similar challenges in running MySQL at scale

PostgreSQL forks and evolutions

  • HadoopDB

    hybrid of MapReduce and DBMS

  • IBM Netezza

    high-performance data warehouse appliances

  • Postgres-XL

    Scalable Open Source PostgreSQL-based Database Cluster

  • RecDB

    Open Source Recommendation Engine Built Entirely Inside PostgreSQL

  • Stado

    open source MPP database system solely targeted at data warehousing and data mart applications

  • Yahoo Everest

    multi-peta-byte database / MPP derived by PostgreSQL

  • TimescaleDB

    An open-source time-series database optimized for fast ingest and complex queries

  • PipelineDB

    The Streaming SQL Database. An open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables

Memcached forks and evolutions

Embedded Databases

  • Actian PSQL

    ACID-compliant DBMS developed by Pervasive Software, optimized for embedding in applications

  • BerkeleyDB

    a software library that provides a high-performance embedded database for key/value data

  • HanoiDB

    Erlang LSM BTree Storage

  • LevelDB

    a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values

  • LMDB

    ultra-fast, ultra-compact key-value embedded data store developed by Symas

  • RocksDB

    embeddable persistent key-value store for fast storage based on LevelDB

Business Intelligence

  • BIME Analytics

    business intelligence platform in the cloud

  • Blazer

    business intelligence made simple

  • Chartio

    lean business intelligence platform to visualize and explore your data

  • Count

    notebook-based anlytics and visualisation platform using SQL or drag-and-drop

  • datapine

    self-service business intelligence tool in the cloud

  • Dekart

    Large scale geospatial analytics for Google BigQuery based on Kepler.gl

  • GoodData

    platform for data products and embedded analytics

  • Jaspersoft

    powerful business intelligence suite

  • Jedox Palo

    customisable Business Intelligence platform

  • Jethrodata

    Interactive Big Data Analytics

  • intermix.io

    Performance Monitoring for Amazon Redshift

  • Metabase

    The simplest, fastest way to get business intelligence and analytics to everyone in your company

  • Microsoft

    business intelligence software and platform

  • Microstrategy

    software platforms for business intelligence, mobile intelligence, and network applications

  • Numeracy

    Fast, clean SQL client and business intelligence

  • Pentaho

    business intelligence platform

  • Qlik

    business intelligence and analytics platform

  • Redash

    Open source business intelligence platform, supporting multiple data sources and planned queries

  • Saiku Analytics

    Open source analytics platform

  • Knowage

    open source business intelligence platform. (former )

  • SparklineData SNAP

    modern B.I platform powered by Apache Spark

  • Tableau

    business intelligence platform

  • Zoomdata

    Big Data Analytics

Data Visualization

  • Airpal

    Web UI for PrestoDB

  • AnyChart

    fast, simple and flexible JavaScript (HTML5) charting library featuring pure JS API

  • Arbor

    graph visualization library using web workers and jQuery

  • Banana

    visualize logs and time-stamped data stored in Solr. Port of Kibana

  • Bloomery

    Web UI for Impala

  • Bokeh

    A powerful Python interactive visualization library that targets modern web browsers for presentation, with the goal of providing elegant, concise construction of novel graphics in the style of D3.js, but also delivering this capability with high-performance interactivity over very large or streaming datasets

  • C3

    D3-based reusable chart library

  • CartoDB

    open-source or freemium hosting for geospatial databases with powerful front-end editing capabilities and a robust API

  • chartd

    responsive, retina-compatible charts with just an img tag

  • Chart.js

    open source HTML5 Charts visualizations

  • Chartist.js

    another open source HTML5 Charts visualization

  • Crossfilter

    JavaScript library for exploring large multivariate datasets in the browser. Works well with dc.js and d3.js

  • Cubism

    JavaScript library for time series visualization

  • Cytoscape

    JavaScript library for visualizing complex networks

  • DC.js

    Dimensional charting built to work natively with crossfilter rendered using d3.js. Excellent for connecting charts/additional metadata to hover events in D3

  • D3

    javaScript library for manipulating documents

  • D3.compose

    Compose complex, data-driven visualizations from reusable charts and components

  • D3Plus

    A fairly robust set of reusable charts and styles for d3.js

  • Dash

    Analytical Web Apps for Python, R, Julia, and Jupyter. Built on top of plotly, no JS required

  • Dekart

    Large scale geospatial analytics for Google BigQuery based on Kepler.gl

  • DevExtreme React Chart

    High-performance plugin-based React chart for Bootstrap and Material Design

  • Echarts

    Baidus enterprise charts

  • Envisionjs

    dynamic HTML5 visualization

  • FnordMetric

    write SQL queries that return SVG charts rather than tables

  • Frappe Charts

    GitHub-inspired simple and modern SVG charts for the web with zero dependencies

  • Freeboard

    pen source real-time dashboard builder for IOT and other web mashups

  • Gephi

    An award-winning open-source platform for visualizing and manipulating large graphs and network connections. It's like Photoshop, but for graphs. Available for Windows and Mac OS X

  • Google Charts

    simple charting API

  • Grafana

    graphite dashboard frontend, editor and graph composer

  • Graphite

    scalable Realtime Graphing

  • Highcharts

    simple and flexible charting API

  • IPython

    provides a rich architecture for interactive computing

  • Kibana

    visualize logs and time-stamped data

  • Lumify

    open source big data analysis and visualization platform

  • Matplotlib

    plotting with Python

  • Metricsgraphic.js

    a library built on top of D3 that is optimized for time-series data

  • NVD3

    chart components for d3.js

  • Peity

    Progressive SVG bar, line and pie charts

  • Plot.ly

    Easy-to-use web service that allows for rapid creation of complex charts, from heatmaps to histograms. Upload data to create and style charts with Plotly's online spreadsheet. Fork others' plots

  • Plotly.js

    The open source javascript graphing library that powers plotly

  • Recline

    simple but powerful library for building data applications in pure Javascript and HTML

  • Redash

    open-source platform to query and visualize data

  • ReCharts

    A composable charting library built on React components

  • Shiny

    a web application framework for R

  • Sigma.js

    JavaScript library dedicated to graph drawing

  • Superset

    a data exploration platform designed to be visual, intuitive and interactive, making it easy to slice, dice and visualize data and perform analytics at the speed of thought

  • Vega

    a visualization grammar

  • Zeppelin

    a notebook-style collaborative data analysis

  • Zing Charts

    JavaScript charting library for big data

  • DataSphere Studio

    one-stop data application development management portal

Internet of things and sensor data

  • Apache Edgent (Incubating)

    a programming model and micro-kernel style runtime that can be embedded in gateways and small footprint edge devices enabling local, real-time, analytics on the edge devices

  • Azure IoT Hub

    Cloud-based bi-directional monitoring and messaging hub

  • TempoIQ

    Cloud-based sensor analytics

  • 2lemetry

    Platform for Internet of things

  • Pubnub

    Data stream network

  • ThingWorx

    Rapid development and connection of intelligent systems

  • IFTTT

    If this then that

  • Evrything

    Making products smart

  • NetLytics

    Analytics platform to process network data on Spark

  • Ably

    Pub/sub messaging platform for IoT

Interesting Readings

Interesting Papers / 2015 - 2016

  • 2015

    - One Trillion Edges: Graph Processing at Facebook-Scale

Interesting Papers / 2013 - 2014

  • 2014

    - Mining of Massive Datasets

  • 2013

    - Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices

  • 2013

    - MLbase: A Distributed Machine-learning System

  • 2013

    - Shark: SQL and Rich Analytics at Scale

  • 2013

    - GraphX: A Resilient Distributed Graph System on Spark

  • 2013

    - HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm

  • 2013

    - Scalable Progressive Analytics on Big Data in the Cloud

  • 2013

    - Druid: A Real-time Analytical Data Store

  • 2013

    - Online, Asynchronous Schema Change in F1

  • 2013

    - F1: A Distributed SQL Database That Scales

  • 2013

    - MillWheel: Fault-Tolerant Stream Processing at Internet Scale

  • 2013

    - Scuba: Diving into Data at Facebook

  • 2013

    - Unicorn: A System for Searching the Social Graph

  • 2013

    - Scaling Memcache at Facebook

Interesting Papers / 2011 - 2012

  • 2012

    - The Unified Logging Infrastructure for Data Analytics at Twitter

  • 2012

    - Blink and It’s Done: Interactive Queries on Very Large Data

  • 2012

    - Fast and Interactive Analytics over Hadoop Data with Spark

  • 2012

    - Shark: Fast Data Analysis Using Coarse-grained Distributed Memory

  • 2012

    - Paxos Replicated State Machines as the Basis of a High-Performance Data Store

  • 2012

    - Paxos Made Parallel

  • 2012

    - BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data

  • 2012

    - Processing a trillion cells per mouse click

  • 2012

    - Spanner: Google’s Globally-Distributed Database

  • 2011

    - Scarlett: Coping with Skewed Popularity Content in MapReduce Clusters

  • 2011

    - Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center

  • 2011

    - Megastore: Providing Scalable, Highly Available Storage for Interactive Services

Interesting Papers / 2001 - 2010

  • 2010

    - Finding a needle in Haystack: Facebook’s photo storage

  • 2010

    - Spark: Cluster Computing with Working Sets

  • 2010

    - Pregel: A System for Large-Scale Graph Processing

  • 2010

    - Large-scale Incremental Processing Using Distributed Transactions and Notifications base of Percolator and Caffeine

  • 2010

    - Dremel: Interactive Analysis of Web-Scale Datasets

  • 2010

    - S4: Distributed Stream Computing Platform

  • 2009

    HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads

  • 2008

    - Chukwa: A large-scale monitoring system

  • 2007

    - Dynamo: Amazon’s Highly Available Key-value Store

  • 2006

    - The Chubby lock service for loosely-coupled distributed systems

  • 2006

    - Bigtable: A Distributed Storage System for Structured Data

  • 2004

    - MapReduce: Simplied Data Processing on Large Clusters

  • 2003

    - The Google File System

Videos

Books

  • Data Science at Scale with Python and Dask

    Data Science at Scale with Python and Dask teaches you how to build distributed data projects that can handle huge amounts of data

  • Streaming Data

    Streaming Data introduces the concepts and requirements of streaming and real-time data systems

  • Storm Applied

    Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams

  • Fundamentals of Stream Processing: Application Design, Systems, and Analytics

    This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field

  • Stream Data Processing: A Quality of Service Perspective

    Presents a new paradigm suitable for stream and complex event processing

  • Unified Log Processing

    Unified Log Processing is a practical guide to implementing a unified log of event streams (Kafka or Kinesis) in your business

  • Kafka Streams in Action

    Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort

  • Big Data

    Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data

  • Spark in Action

    & - Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0

  • Kafka in Action

    Kafka in Action is a fast-paced introduction to every aspect of working with Kafka you need to really reap its benefits

  • Fusion in Action

    Fusion in Action teaches you to build a full-featured data analytics pipeline, including document and data search and distributed data clustering

  • Reactive Data Handling

    Reactive Data Handling is a collection of five hand-picked chapters, selected by Manuel Bernhardt, that introduce you to building reactive applications capable of handling real-time processing with large data loads--free eBook!

  • Azure Data Engineering

    A book about data engineering in general and the Azure platform specifically

  • Grokking Streaming Systems

    Grokking Streaming Systems helps you unravel what streaming systems are, how they work, and whether they’re right for your business. Written to be tool-agnostic, you’ll be able to apply what you learn no matter which framework you choose

  • Distributed Systems for fun and profit

    – Theory of distributed systems. Include parts about time and ordering, replication and impossibility results

  • Graph-Powered Machine Learning

    Alessandro Negro. Combine graph theory and models to improve machine learning projects

Books / Data Visualization

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