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ArangoDB vs FaunaDB: What are the differences?
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.
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.
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.
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.
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.
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.
Pros of ArangoDB
- Grahps and documents in one DB37
- Intuitive and rich query language26
- Good documentation25
- Open source25
- Joins for collections21
- Foxx is great platform15
- Great out of the box web interface with API playground14
- Good driver support6
- Low maintenance efforts6
- Clustering6
- Easy microservice creation with foxx5
- You can write true backendless apps4
- Managed solution available2
- Performance0
Pros of Fauna
- 100% ACID5
- Generous free tier4
- Removes server provisioning or maintenance4
- Low latency global CDN's3
- No more n+1 problems (+ GraphQL)3
- Works well with GraphQL3
- Also supports SQL, CQL3
- No ORM layer needed2
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Cons of ArangoDB
- Web ui has still room for improvement3
- No support for blueprints standard, using custom AQL2
Cons of Fauna
- Susceptible to DDoS (& others) use timeouts throttling1
- Must keep app secrets encrypted1
- Log stack traces to avoid improper exception handling1