Sourcify
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Instant GraphQL and REST APIs on all your data with a metadata-driven semantic layer.

In 2026, Hasura remains the industry standard for high-performance data delivery, having fully transitioned to its Data Delivery Network (DDN) architecture. Built on a Rust-based engine, Hasura utilizes the Native Data Connector (NDC) specification to provide sub-millisecond execution overhead. It functions as a centralized semantic layer that federates data across heterogeneous sources including PostgreSQL, SQL Server, MongoDB, ClickHouse, and Snowflake. For modern AI solutions, Hasura 2026 serves as the primary data backbone for Retrieval-Augmented Generation (RAG) by surfacing structured organizational data through a unified GraphQL endpoint. Its metadata-driven approach eliminates the need for manual resolver code, allowing architects to define relationships, granular Row-Level Security (RLS), and data transformations via a declarative configuration. This architecture significantly reduces the TCO for microservices and data-intensive applications by providing out-of-the-box features like real-time subscriptions, horizontal scaling, and built-in caching. Positioned as the 'API-as-a-Service' layer, it bridges the gap between raw data storage and frontend consumers, ensuring security and performance at global scale.
In 2026, Hasura remains the industry standard for high-performance data delivery, having fully transitioned to its Data Delivery Network (DDN) architecture.
Explore all tools that specialize in data federation. This domain focus ensures Hasura delivers optimized results for this specific requirement.
Explore all tools that specialize in build graphql apis. This domain focus ensures Hasura delivers optimized results for this specific requirement.
A new Rust-based agent architecture that allows Hasura to connect to any data source with high performance and low memory footprint.
The ability to join data across different databases (e.g., Postgres to Snowflake) or a database to a REST API in a single query.
Attribute-based access control (ABAC) using session variables passed via JWT to filter data at the query level.
Server-side caching of GraphQL query results with configurable TTLs and cache-invalidation logic.
Allows developers to define custom types and structures for SQL functions and native queries that don't map to tables.
Scalable WebSocket-based subscriptions that push data updates to clients using a multiplexed live query engine.
A globally distributed control plane that optimizes query execution based on the geographic location of the data source.
Create a Hasura Cloud account or deploy the Docker-based engine locally.
Connect your primary database (e.g., PostgreSQL) by providing the connection string.
Track tables and views to instantly expose them as GraphQL query and mutation roots.
Define relationships (Object/Array) between disparate tables or database sources.
Configure Permissions by defining roles and specific boolean expressions for row-level access.
Set up 'Actions' to extend the GraphQL schema with custom business logic via REST endpoints.
Integrate 'Remote Schemas' to merge external GraphQL APIs into the unified Hasura graph.
Enable 'Event Triggers' to capture database changes and trigger serverless functions or webhooks.
Optimize performance by configuring Query Caching and analyzing execution plans in the console.
Deploy metadata changes via Hasura CLI to staging and production environments using CI/CD.
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"Highly praised for its speed and developer experience, though the transition to v3/DDN has a learning curve for v2 veterans."
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