awesome-graph
by jbmusso
A curated list of resources for graph databases and graph computing tools
AI summary
Graph database toolkit
A curated collection of resources and tools for building and using graph databases and computing systems
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- 54
What's in the list
54 links in 9 sections, with live GitHub stats.activeno commit in 2y
Graph databases
- AgensGraph
multi-model graph database with SQL and Cypher support
- AnzoGraph
Massively parallel graph database with advanced analytics (SPARQL, Cypher, OWL/RDFS+, LPG)
- Atomic-Server
open-source type-safe graph database server with GUI, written in rust. Supports , JSON & RDF
- ArangoDB
highly available Multi-Model NoSQL database
Blazegraph
GPU accelerated graph database
Cayley
open source database written in Go
- CosmosDB
cloud-based multi-model database with support for TinkerPop3
- Dgraph
Fast, Transactional, Distributed Graph Database (open source, written in Go)
- DSE Graph
Graph layer on top of DataStax Enterprise (Cassandra, SolR, Spark)
Grafito
Portable, Serverless & Lightweight SQLite-based Graph Database in Arturo
- Grakn.AI
a distributed hyper-relational database for knowledge-oriented systems, i.e. a distributed knowledge base
Graphd
the Metaweb/Freebase Graph Repository
- JanusGraph
an open-source, distributed graph database with pluggable storage and indexing backends
- Memgraph
High Performance, In-Memory, Transactional Graph Database
- Neo4j
OLTP graph database
- Nebula Graph
A distributed, fast open-source graph database featuring horizontal scalability and high availability
- RedisGraph
Property graph database, based on linear algebra constructs (GraphBLAS)
- Sparksee
makes space and performance compatible with a small footprint and a fast analysis of large networks
- Stardog
RDF graph database with OLTP and OLAP support
- OrientDB
Distributed Multi-Model NoSQL Database with a Graph Database Engine
TerminusDB
is an open source graph database and document store. It is designed for collaboratively building data-intensive applications and knowledge graphs
- TigerGraph
The First Native Parallel Graph capable of real-time analytics on web-scale data
Weaviate
Weaviate is a cloud-native, modular, real-time vector search engine with a graph data model (GraphQL interface) built to scale your machine learning models
Graph databases / Triple stores
Akutan
Akutan is a distributed knowledge graph store, sometimes called an RDF store or a triple store
- AllegroGraph
high-performance, persistent graph database that scales to billions of quads
- Apache Jena
open source Java framework for building Semantic Web and Linked Data applications
- Dydra
Dydra is a cloud-based graph database. Dydra stores data is natively stored as a property graph, directly representing the relationships in the underlying data
- Eclipse RDF4J
(formerly known as Sesame) is an open source Java framework for processing RDF data. This includes parsing, storing, inferencing and querying of/over such data. It offers an easy-to-use API that can be connected to all leading RDF storage solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web
- GraphDB
enterprise ready Semantic Graph Database, compliant with W3C Standards
- Virtuoso
a "Data Junction Box" that drives enterprise and individual agility by deriving a Semantic Web of Linked Data from existing data silos
- Hoply
explore bigger than RAM relational data in the comfort of Python
Graph computing frameworks
- Apache Giraph
an iterative graph processing system built for high scalability
- Apache TinkerPop
a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP)
- Apache Spark - GraphX
Apache Spark's API for graphs and graph-parallel computation
GraphScope
A one-stop large-scale graph computing system from Alibaba
Languages
Managed hosting services
- JanusGraph @ Google Cloud Platform
JanusGraph on Google Kubernetes Engine backed by Google Cloud Bigtable
- Neptune @ Amazon Web Services
a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets
Learning materials / Official documentations
Learning materials / Community effort
Graph Book
TinkerPop3 centric book written by
- SQL2Gremlin
transition from SQL to Gremlin by
- The Gremlin Compendium
minimum survival kit for any Gremlin user, 10 blog post series by
Learning materials / Blogs
Conferences
- Graph Connect
powered by Neo4j
- Graph Day
an Independent Graph Conference from the Data Day folks
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