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Blazegraph

5
12
+ 1
3
Grakn

9
13
+ 1
0
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Blazegraph vs Grakn: What are the differences?

Blazegraph: An ultra-high performance database for big graphs offering both Semantic Web and Graph Database. 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; Grakn: An intelligent database - a knowledge graph. It is an intelligent database: a knowledge graph engine to organise complex networks of data and making it queryable, by performing knowledge engineering. Rooted in Knowledge Representation and Automated Reasoning, it provides the knowledge foundation for cognitive and intelligent (e.g. AI) systems, by providing an intelligent language for modelling, transactions and analytics. Being a distributed database, it is designed to scale over a network of computers through partitioning and replication.

Blazegraph and Grakn can be primarily classified as "Graph Databases" tools.

Some of the features offered by Blazegraph are:

  • High Performance Native graph database
  • Blueprints API or RDF/SPARQL
  • Single machine data storage to ~50B triples/quads (RWStore)

On the other hand, Grakn provides the following key features:

  • Distributed Analytics
  • Automated Reasoning
  • Higher-Level Language

Grakn is an open source tool with 2K GitHub stars and 234 GitHub forks. Here's a link to Grakn's open source repository on GitHub.

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Pros of Blazegraph
Pros of Grakn
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    Support for SPARQL
  • 1
    Easy Setup and Use
  • 1
    Support for RDF
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    - No public GitHub repository available -

    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.

    What is Grakn?

    It is an intelligent database: a knowledge graph engine to organise complex networks of data and making it queryable, by performing knowledge engineering. Rooted in Knowledge Representation and Automated Reasoning, it provides the knowledge foundation for cognitive and intelligent (e.g. AI) systems, by providing an intelligent language for modelling, transactions and analytics. Being a distributed database, it is designed to scale over a network of computers through partitioning and replication.

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    What companies use Blazegraph?
    What companies use Grakn?
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      What tools integrate with Blazegraph?
      What tools integrate with Grakn?

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      What are some alternatives to Blazegraph and Grakn?
      Neo4j
      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.
      JanusGraph
      It 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. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
      OrientDB
      It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
      Dgraph
      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.
      Titan
      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.
      See all alternatives
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