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Pros of ArangoDB
Pros of JanusGraph
  • 35
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 24
    Open source
  • 23
    Good documentation
  • 18
    Joins for collections
  • 15
    Foxx is great platform
  • 14
    Great out of the box web interface with API playground
  • 6
    Low maintenance efforts
  • 6
  • 6
    Good driver support
  • 5
    Easy microservice creation with foxx
  • 3
    You can write true backendless apps
  • 2
    Managed solution available
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    Cons of ArangoDB
    Cons of JanusGraph
    • 3
      Web ui has still room for improvement
    • 2
      No support for blueprints standard, using custom AQL
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      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 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.

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      What companies use ArangoDB?
      What companies use JanusGraph?
      See which teams inside your own company are using ArangoDB or JanusGraph.
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      What tools integrate with ArangoDB?
      What tools integrate with JanusGraph?

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      What are some alternatives to ArangoDB and JanusGraph?
      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 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 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.
      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.
      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