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ArangoDB

278
442
+ 1
192
Fauna

108
153
+ 1
27
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ArangoDB vs FaunaDB: What are the differences?

  1. Data Model Flexibility: ArangoDB supports a flexible data model that allows for key-value, document, and graph data storage within the same database, while FaunaDB primarily focuses on document-oriented data storage. This means that ArangoDB may be more suitable for use cases that require multi-model capabilities.

  2. Scale and Performance: ArangoDB is known for its robust scaling capabilities, allowing for distributed setups and high availability configurations. FaunaDB also supports scaling but is more tailored towards global distribution and consistency, making it a preferred choice for applications requiring strong data consistency guarantees across multiple regions.

  3. Query Language: ArangoDB uses its own query language called AQL (ArangoDB Query Language) which is similar to SQL but optimized for different data models, while FaunaDB uses FQL (Fauna Query Language) which is designed for complex data relationships and also supports ACID transactions. Developers familiar with SQL may find ArangoDB easier to adopt initially.

  4. Consistency Models: ArangoDB uses a flexible consistency model that allows users to choose between different levels of consistency (from eventual to strong), providing a good balance between performance and data integrity. On the other hand, FaunaDB employs a strict consistency model by default, ensuring that all operations are globally consistent, which is crucial for highly regulated industries.

  5. Deployment Options: ArangoDB can be deployed on-premises, in the cloud, or in a hybrid environment, offering flexibility in deployment options. FaunaDB, on the other hand, is a cloud-native database that is optimized for serverless architectures, making it a seamless choice for applications running on cloud platforms like AWS, Azure, or Google Cloud.

  6. Community and Support: ArangoDB has a thriving open-source community with extensive documentation and a strong developer community, providing support through forums and GitHub. FaunaDB offers comprehensive documentation and professional support options for enterprise customers, ensuring reliable service and assistance for critical applications.

In Summary, ArangoDB and FaunaDB differ in their data model flexibility, scaling capabilities, query languages, consistency models, deployment options, and community support offerings.

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Pros of ArangoDB
Pros of Fauna
  • 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
  • 5
    100% ACID
  • 4
    Generous free tier
  • 4
    Removes server provisioning or maintenance
  • 3
    Low latency global CDN's
  • 3
    No more n+1 problems (+ GraphQL)
  • 3
    Works well with GraphQL
  • 3
    Also supports SQL, CQL
  • 2
    No ORM layer needed

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Cons of ArangoDB
Cons of Fauna
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
  • 1
    Susceptible to DDoS (& others) use timeouts throttling
  • 1
    Must keep app secrets encrypted
  • 1
    Log stack traces to avoid improper exception handling

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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 Fauna?

Escape the boundaries imposed by legacy databases with a data API that is simple to adopt, highly productive to use, and offers the capabilities that your business needs, without the operational pain typically associated with databases.

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

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What are some alternatives to ArangoDB and Fauna?
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