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ArangoDB

275
442
+ 1
192
OrientDB

75
107
+ 1
14
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ArangoDB vs OrientDB: What are the differences?

Introduction

ArangoDB and OrientDB are both multi-model databases that provide flexibility in dealing with different types of data. However, there are key differences between the two that distinguish them in terms of performance, scalability, query language, and data modeling capabilities.

  1. Performance: ArangoDB uses memory-mapped architecture, which allows it to effectively manage large datasets and offers better performance for read-intensive workloads. On the other hand, OrientDB utilizes a disk-based storage approach that provides better support for write-intensive scenarios.

  2. Scalability: ArangoDB offers horizontal scalability through its built-in sharding mechanism, allowing users to distribute data across multiple servers effortlessly. In contrast, OrientDB relies on vertical scalability, where a single server can handle larger datasets by expanding its storage or computing resources vertically.

  3. Query Language: ArangoDB uses a declarative query language called AQL (ArangoDB Query Language), which provides a SQL-like syntax with additional graph traversal and document-oriented features. OrientDB, on the other hand, supports SQL queries as well as a powerful proprietary language called Gremlin, which is used for graph traversals.

  4. Data Modeling: ArangoDB supports a native graph database model as well as key-value and document stores, allowing users to flexibly model their data to suit different use cases. In contrast, OrientDB is primarily designed as a graph database but supports document and key-value models as well.

  5. Multi-Model Capabilities: While both databases are multi-model, ArangoDB places a stronger emphasis on its ability to seamlessly combine different data models within a single query. It provides better integration through its traversal mechanisms, making it easier to work with complex relationships. OrientDB, although supporting multiple models, is primarily optimized for graph operations.

  6. Community and Ecosystem: ArangoDB has gained popularity in recent years, attracting a widespread community and a vibrant ecosystem of compatible tools and libraries. OrientDB, while also having a dedicated user base, has faced some challenges with community adoption and maintained support, leading to a relatively smaller ecosystem.

In summary, ArangoDB and OrientDB differ in terms of performance, scalability, query language, data modeling capabilities, multi-model support, and community ecosystem. These differences make them suitable for various use cases depending on the specific requirements and preferences of the users.

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Pros of ArangoDB
Pros of OrientDB
  • 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
  • 4
    Great graphdb
  • 2
    Great support
  • 2
    Open source
  • 1
    Multi-Model/Paradigm
  • 1
    ACID
  • 1
    Highly-available
  • 1
    Performance
  • 1
    Embeddable
  • 1
    Rest api

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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
  • 4
    Unstable

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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 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