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ArangoDB vs Dgraph

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ArangoDB
267
422
+ 1
192
Dgraph
120
210
+ 1
9
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ArangoDB vs Dgraph: What are the differences?

Developers describe ArangoDB as "A distributed open-source database with a flexible data model for documents, graphs, and key-values". 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. On the other hand, Dgraph is detailed 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.

ArangoDB and Dgraph are primarily classified as "Databases" and "Graph Databases" tools respectively.

ArangoDB and Dgraph are both open source tools. Dgraph with 9.96K GitHub stars and 696 forks on GitHub appears to be more popular than ArangoDB with 8.22K GitHub stars and 578 GitHub forks.

AresRPG, Stepsize, and Brainhub are some of the popular companies that use ArangoDB, whereas Dgraph is used by Dgraph Labs, Inflect, and DealTap. ArangoDB has a broader approval, being mentioned in 11 company stacks & 15 developers stacks; compared to Dgraph, which is listed in 5 company stacks and 3 developer stacks.

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Pros of ArangoDB
Pros of Dgraph
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Good documentation
  • 25
    Open source
  • 21
    Joins for collections
  • 15
    Foxx is great platform
  • 14
    Great out of the box web interface with API playground
  • 6
    Good driver support
  • 6
    Low maintenance efforts
  • 6
    Clustering
  • 5
    Easy microservice creation with foxx
  • 4
    You can write true backendless apps
  • 2
    Managed solution available
  • 0
    Performance
  • 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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Cons of ArangoDB
Cons of Dgraph
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
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    - No public GitHub repository available -

    What is 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.

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use ArangoDB?
    What companies use Dgraph?
    See which teams inside your own company are using ArangoDB or Dgraph.
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    What tools integrate with ArangoDB?
    What tools integrate with Dgraph?
      No integrations found

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      What are some alternatives to ArangoDB and Dgraph?
      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.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      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.
      See all alternatives

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