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ArangoDB

230
351
+ 1
183
OrientDB

59
79
+ 1
14
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ArangoDB vs OrientDB: 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, OrientDB is detailed as "An open source NoSQL database management system". 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.

ArangoDB and OrientDB belong to "Databases" category of the tech stack.

ArangoDB is an open source tool with 8.34K GitHub stars and 579 GitHub forks. Here's a link to ArangoDB's open source repository on GitHub.

According to the StackShare community, ArangoDB has a broader approval, being mentioned in 24 company stacks & 80 developers stacks; compared to OrientDB, which is listed in 10 company stacks and 5 developer stacks.

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Pros of ArangoDB
Pros of OrientDB
  • 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
    Clustering
  • 6
    Good driver support
  • 5
    Easy microservice creation with foxx
  • 3
    You can write true backendless apps
  • 2
    Managed solution available
  • 4
    Great graphdb
  • 2
    Great support
  • 2
    Open source
  • 1
    ACID
  • 1
    Embeddable
  • 1
    Highly-available
  • 1
    Performance
  • 1
    Rest api
  • 1
    Multi-Model/Paradigm

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Cons of ArangoDB
Cons of OrientDB
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
  • 3
    Unstable

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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 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.

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

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    What are some alternatives to ArangoDB and OrientDB?
    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.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    See all alternatives