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Cube.js vs GraphQL: What are the differences?
Introduction
Cube.js is an open-source analytical API platform that allows developers to create and deploy data APIs quickly. On the other hand, GraphQL is a query language and runtime for APIs that enables clients to request only the data they need.
Data Modeling: Cube.js provides a powerful data modeling layer that facilitates defining complex relationships between tables, dimensions, and measures. It offers a schema definition language and supports multiple databases, making it easier to work with diverse data sources. In contrast, GraphQL does not provide a built-in data modeling layer and requires developers to define the schema manually.
Aggregation and Analytics: Cube.js focuses on providing analytics capabilities out of the box. It supports pre-aggregations, caching, and fetching data in a multi-level hierarchical manner, which enables it to handle complex analytical queries with great performance. GraphQL, although flexible, does not have built-in features for aggregation and analytics. It primarily serves as a query language for fetching data from various sources.
Real-time Capabilities: Cube.js is designed to handle real-time data processing and allows developers to easily build real-time dashboards and applications. It supports WebSocket-based live queries, event-based data updates, and real-time streaming of data changes. GraphQL, on the other hand, does not have built-in mechanisms for real-time data processing. It requires additional tools or libraries to implement real-time capabilities.
Schema Stitching and Federation: Cube.js does not provide native support for schema stitching and federation. It primarily focuses on providing a unified API layer for analytics and reporting use cases. GraphQL, on the other hand, was designed to support schema stitching and federation out of the box. It allows developers to combine multiple GraphQL schemas into a single federated schema, enabling composition of APIs from different sources.
Out-of-the-box Integrations: Cube.js offers seamless integrations with popular business intelligence tools like Tableau, Power BI, and Looker. It provides dedicated connectors to these tools, making it easier to consume analytical data in a variety of ways. GraphQL, on the other hand, does not have dedicated integrations with specific BI tools. It primarily focuses on exposing a flexible API layer for data fetching and manipulation.
Community and Ecosystem: Cube.js has a growing community of developers and a vibrant ecosystem of extensions and plugins. It benefits from the active contributions and support from the community, which accelerates its development and adoption. GraphQL, being an open standard, has a larger community and a vast ecosystem of tools, libraries, and frameworks. It has gained significant traction and is widely adopted by organizations across different industries.
In Summary, Cube.js provides a powerful data modeling layer, built-in analytics capabilities, and real-time processing support. It has seamless integrations with popular BI tools and benefits from an active community. On the other hand, GraphQL offers a flexible query language for fetching data from various sources, supports schema stitching and federation, and has a larger community and ecosystem.
Pros of Cube
- API8
- Caching6
- Open Source6
- Visualization agnostic6
- Rollups orchestration4
Pros of GraphQL
- Schemas defined by the requests made by the user75
- Will replace RESTful interfaces63
- The future of API's62
- The future of databases49
- Self-documenting13
- Get many resources in a single request12
- Query Language6
- Ask for what you need, get exactly that6
- Fetch different resources in one request3
- Type system3
- Evolve your API without versions3
- Ease of client creation2
- GraphiQL2
- Easy setup2
- "Open" document1
- Fast prototyping1
- Supports subscription1
- Standard1
- Good for apps that query at build time. (SSR/Gatsby)1
- 1. Describe your data1
- Better versioning1
- Backed by Facebook1
- Easy to learn1
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Cons of Cube
- Incomplete documentation1
- Doesn't support filtering on left joins1
- Poor performance1
- No ability to update "cubes" in runtime1
- Cannot use as a lib - only HTTP1
Cons of GraphQL
- Hard to migrate from GraphQL to another technology4
- More code to type.4
- Takes longer to build compared to schemaless.2
- No support for caching1
- All the pros sound like NFT pitches1
- No support for streaming1
- Works just like any other API at runtime1
- N+1 fetch problem1
- No built in security1