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An ultra-high performance database for big graphs offering both Semantic Web and Graph Database
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What is Blazegraph?

It is a fully open-source high-performance graph database supporting the RDF data model and RDR. It operates as an embedded database or over a client/server REST API.
Blazegraph is a tool in the Graph Databases category of a tech stack.
Blazegraph is an open source tool with GitHub stars and GitHub forks. Here’s a link to Blazegraph's open source repository on GitHub

Who uses Blazegraph?

3 companies reportedly use Blazegraph in their tech stacks, including Industrial Inference, Zero Technologies, and

Blazegraph Integrations

GrapheneDB, Linkurious, Graph Story, Structr, and Cartography are some of the popular tools that integrate with Blazegraph. Here's a list of all 5 tools that integrate with Blazegraph.

Why developers like Blazegraph?

Here’s a list of reasons why companies and developers use Blazegraph

Blazegraph's Features

  • High Performance Native graph database
  • Blueprints API or RDF/SPARQL
  • Single machine data storage to ~50B triples/quads (RWStore)
  • REST API with embedded and/or webapp deployment (NanoSparqlServer)
  • Fast 100% native SPARQL 1.1 evaluation
  • Fast RDFS+ inference and truth maintenance
  • Triples, quads, or Reification Done Right (RDR) support
  • 100% Java memory manager leverages the JVM native heap (no GC)
  • Vertex-centric API

Blazegraph Alternatives & Comparisons

What are some alternatives to Blazegraph?
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering
See all alternatives