What is Hasura?
Provides a universal data access layer designed to expedite the development and deployment of high-quality APIs for modern applications and artificial intelligence projects. This platform enables applications to fetch necessary data efficiently and securely, regardless of its type or location, significantly reducing the time and effort required for API creation and management.
Utilizing a unique metadata-driven approach, the platform enhances developer productivity by shifting focus from manual API coding to declarative domain modeling. This approach automates governance, preventing API inconsistencies and simplifying compliance audits. It also simplifies cross-domain data aggregation through a unified semantic layer and federated query engine, allowing developers to compose data from diverse sources via a single API. The service is deployed on a global distributed infrastructure, ensuring performance, scalability, and reliability for users.
Features
- Metadata-Driven API Platform: Automates API creation and governance based on domain models.
- Universal Data Access Layer: Connects to various data sources (e.g., PostgreSQL, MySQL, SQL Server, MongoDB) via a single API.
- GraphQL API Generation: Automatically generates GraphQL and Relay APIs based on data schemas with filtering, pagination, and sorting.
- Federated Query Engine: Composes data from multiple sources into a unified response.
- Built-in Governance: Enforces data access policies through metadata, including field and entity-level authorization.
- Global Distributed Infrastructure: Deploys APIs on a global edge network for performance, scalability, and reliability.
- Observability & Monitoring: Provides traces and performance metrics for APIs.
- CI/CD Integration: Supports breaking change detection, immutable builds, and local development.
- Database & API Connectors: Offers pre-built connectors and the ability to build custom ones.
Use Cases
- Accelerating API development for web and mobile applications.
- Building data layers for AI and machine learning applications.
- Modernizing legacy systems by creating APIs on existing databases.
- Simplifying data federation across multiple microservices or databases.
- Implementing robust data governance and security policies via APIs.
- Enabling rapid prototyping and deployment of data-driven features.
FAQs
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What databases and data sources can Hasura connect to?
Hasura supports various connectors including PostgreSQL, MySQL, Elasticsearch, SQL Server, MongoDB, Snowflake, Clickhouse, code connectors, and API connectors. Users can also build and connect their own connectors. -
What type of API does Hasura primarily generate?
Hasura automatically generates GraphQL APIs based on connected data sources, including features like filtering, pagination, sorting, and aggregations. It also supports Relay APIs. -
How does Hasura approach data governance?
Hasura uses a metadata-driven approach where defined metadata dictates the behavior of the data access layer. The engine enforces these policies, simplifying governance, preventing API drift, and enabling features like field and entity-level authorization. -
What are the main differences between the Hasura DDN plans?
The main differences lie in the number of supergraph developers allowed (1 for Free, unlimited for paid), observability data retention (15 mins for Free, 30 days for paid), advanced features like model/field usage metrics, federated collaboration, multi-repo CI/CD, advanced security options (like Private DDN), and support levels.
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