Hasura GraphQL Engine

Hasura GraphQL Engine

Open-source GraphQL engine providing instant, realtime APIs on your data

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Last commit: 1d ago
Repo age: 8y old
Hasura GraphQL Engine screenshot

Hasura GraphQL Engine provides instant, realtime GraphQL and REST APIs over your data sources by introspecting schemas and exposing a composable, secure API surface. It supports multiple backends and connector SDKs for adding custom business logic, and includes an admin console and migration tooling for managing schema and metadata.

Key Features

  • Instant GraphQL APIs generated from database schemas with support for queries, mutations, subscriptions (realtime).
  • Fine-grained row- and column-level access control and permission rules.
  • Database event triggers and webhooks for serverless workflows and asynchronous processing.
  • Data Connectors architecture (V3) enabling Postgres, MongoDB, ClickHouse, MS SQL Server and other sources.
  • Connector SDKs for writing custom business logic in TypeScript, Python, and Go.
  • Admin console and migration tooling for schema management and metadata versioning.
  • Remote schemas and schema stitching to merge custom GraphQL services into a single endpoint.
  • Container-friendly deployment with Docker and orchestration support for cloud/Kubernetes environments.

Use Cases

  • Rapidly expose an existing database as a secure, realtime GraphQL API for web and mobile apps.
  • Build event-driven pipelines by triggering functions or webhooks on database changes.
  • Compose data from multiple sources into a unified API for microservices and analytics.

Limitations and Considerations

  • Full feature parity depends on the connected data source; some advanced features vary by connector and database capabilities.
  • Operational behavior (performance, caching, realtime scalability) is influenced by the underlying datastore and deployment topology.

Hasura is designed to accelerate API development by automating schema-to-API creation and providing production-oriented features for access control, subscriptions, and eventing. It is commonly used to modernize data access, integrate heterogeneous data sources, and power realtime user experiences.

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