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.