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Dgraph

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TypeDB

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Dgraph vs Grakn: What are the differences?

Developers describe Dgraph as "Fast, Distributed Graph DB". 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. On the other hand, Grakn is detailed as "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.

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

Dgraph and Grakn are both open source tools. It seems that Dgraph with 12.8K GitHub stars and 910 forks on GitHub has more adoption than Grakn with 2K GitHub stars and 234 GitHub forks.

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Pros of Dgraph
Pros of TypeDB
  • 3
    Graphql as a query language is nice if you like apollo
  • 2
    Easy set up
  • 2
    Low learning curve
  • 1
    Open Source
  • 1
    High Performance
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    - No public GitHub repository available -

    What is 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.

    What is TypeDB?

    TypeDB is a database with a rich and logical type system. TypeDB empowers you to solve complex problems, using TypeQL as its query language.

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    What companies use Dgraph?
    What companies use TypeDB?
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      What are some alternatives to Dgraph and TypeDB?
      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.
      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.
      ArangoDB
      A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
      Cayley
      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.
      GraphQL
      GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
      See all alternatives