Graph Data Platforms (2026): Graph Analytics, Visualisation

Graph Databases & Managed Platforms

12 entries

Platforms for storing connected data and running graph workloads.

01Neo4j Graph Intelligence PlatformLeading property graph platform, positioned as the knowledge layer for trustworthy AI. 02TigerGraphDistributed graph platform for web-scale analytics and GraphRAG. 03Amazon NeptuneFully managed AWS graph database for highly connected datasets. 04Oracle Graph DatabaseIntegrated graph capabilities and Graph Studio in Oracle Autonomous Database. 05Azure Cosmos DB for Apache GremlinManaged graph service via the Gremlin API on Azure Cosmos DB. 06Google Spanner GraphGraph capabilities built into Google Cloud Spanner. 07ArangoDB (Arango)Graph-native contextual data platform for graph, document and search workloads. 08AllegroGraphMulti-model entity-event knowledge graph technology. 09StardogKnowledge graph-powered semantic layer that connects data at the compute layer. 10MemgraphIn-memory graph database for real-time analytics. 11PuppyGraphQueries existing relational data as a graph without ETL. 12GraphwiseSemantic AI and graph platform formed from Ontotext and the Semantic Web Company, replacing the old Ontotext Semantic Objects link.

Graph Analytics & Computing Engines

10 entries

Frameworks and libraries for running graph algorithms and large-scale graph computation.

13Apache TinkerPopGraph computing framework for OLTP and OLAP, powered by the Gremlin language. 14Apache Spark GraphXSpark component for graphs and graph-parallel computation. 15Neo4j Graph Data ScienceLibrary of graph algorithms and machine learning pipelines for Neo4j. 16TigerGraph Graph AlgorithmsLibrary of graph algorithms for TigerGraph. 17Memgraph Advanced Algorithms (MAGE)Graph algorithm library for Memgraph. 18NetworkXPython package for creating, manipulating and studying networks. 19igraphNetwork analysis library for R, Python and C. 20NVIDIA cuGraphGPU-accelerated graph analytics library from NVIDIA. 21Apache FlinkStream processing framework, also used for graph computation on streams. 22NVIDIA – What Is Graph Analytics?Primer on graph analytics and its applications.

Graph Visualisation & Exploration

8 entries

Tools for seeing and exploring connected data.

23GephiOpen-source visualisation and exploration software for graphs and networks. 24CytoscapeOpen-source platform for visualising complex networks. 25Neo4j Explore (Bloom)Visual tool for exploring connected data in Neo4j. 26LinkuriousGraph visualisation and decision intelligence for investigations. 27KinevizGraph visualisation and AI analysis platform (GraphXR). 28yFilesDiagramming and graph visualisation libraries for developers. 29Sigma.jsJavaScript library for rendering large graphs in the browser. 30CosmographGPU-based visualisation for large graphs and embeddings.

GraphQL & API Layers

4 entries

GraphQL tooling for exposing connected data to applications.

31Apollo GraphQL PlatformDeveloper tools and services for building and scaling a GraphQL supergraph. 32GraphQLOfficial site of the GraphQL query language and specification. 33DgraphGraph database with native GraphQL support and auto-generated APIs. 34HasuraGraphQL and data API layer over existing databases.

Books on Graph Data Science

3 entries

Related books featured on this site.

35Graph Neural Networks (book)Book on graph neural networks from Springer. 36Demystifying Graph Data Science (book)Book on graph data science from the IET. 37Applied Graph Data Science (book)Book on applied graph data science from Elsevier.

Related Pages on This Site

5 entries

Graph Analytics Libraries & Visualisation

2 entries

Open tools for graph analysis and visualisation.

43GraphvizGraph drawing tools. 44Neo4j Graph Data ScienceGraph algorithms library.

1 entries

Related research directories on this site.

45Knowledge EngineeringHub of knowledge graph, ontology, graph database and GraphRAG directories.

Frequently Asked Questions

What is a graph data platform?

A graph data platform combines storage for connected data with analytics, visualisation and APIs, so teams can find patterns across relationships rather than rows.

How is graph analytics different from a graph database?

A graph database stores and queries graph data, while graph analytics engines run algorithms such as PageRank, community detection and shortest path over it, often at large scale or on GPUs.

What are Gremlin and GraphQL?

Gremlin is a graph traversal language from Apache TinkerPop used with many graph databases. GraphQL is an API query language that can sit on top of graph and relational data and is unrelated to graph databases despite the name.

Which tools help visualise graphs?

Gephi and Cytoscape suit desktop exploration, while Graphistry, Linkurious, Kineviz, yFiles and Sigma.js support applications and large graphs.

Why was Ontotext Semantic Objects replaced?

Its old page now redirects within the Graphwise site, so this page links to Graphwise instead.

Which libraries analyse graphs?

NetworkX and igraph for analysis, Neo4j Graph Data Science for in-database algorithms, and Gephi, Cytoscape and Graphviz for visualisation.

Which additional references does this page add?

The section 'Graph Analytics Libraries & Visualisation' lists NetworkX, igraph, Gephi, Cytoscape, Graphviz.

Which links may need a manual click?

Links were rechecked in October 2026. The IET Digital Library book page returned 403 to automated checks and is kept; it may need a manual click.