Create REST APIs on YugabyteDB in 2 minutes

Connect Hasura to your new or existing YugabyteDB database and generate high-quality, secure, and performant REST APIs.

Instant GraphQL APIs

Build high-quality GraphQL APIs on YugabyteDB, instantly

Connect to a new or existing YugabyteDB database and get standardized, highly composable GraphQL APIs. The Hasura GraphQL Engine introspects the database and automatically generates GraphQL schemas and resolvers based on the YugabyteDB tables, views, and functions.

GraphQL queries on YugabyteDB

Leverage the full power of GraphQL API to interact with your YugabyteDB database for all your read use cases.

Query exactly what you want from your YugabyteDB tables, views, and functions.

Relationships and nesting

The GraphQL API on YugabyteDB handles relationships between models, and queries can be nested to any depth if required.

Pagination

Easily manage large datasets with built-in pagination capabilities. Cursor-based, Relay-style, and offset-based pagination is supported natively.

Filtering

Filter query results on YugabyteDB using advanced WHERE clauses and Boolean / logical operators like _and / _or, etc.

Sorting

Sort data based on multiple fields in YugabyteDB tables and specify the sort direction (ascending or descending), making it easy to present your data.

Aggregation

Perform various aggregations to get detailed statistics about your YugabyteDB data directly within your GraphQL queries. Leverage aggregate functions in PostgreSQL like count, sum, min, max, avg, etc.

Vector search

Perform similarity / vector search using native queries.

query fetchUsersAndPosts {
  users(where: { age: { _gt: 18 } }) {
    id
    name
    posts {
      title
      comments {
        text
      }
    }
  }
}

Fetch users' data like the `id` and `name` where the age is > 18, and fetch the `posts` written by them along with the `comments` for each post.

query {
 authors(where: { articles: { rating: { _gt: 4 } } }) {
   id
   name
   articles(where: { rating: { _gt: 4 } }) {
     id
     title
     rating
   }
 }
}

Fetch a list of authors who have articles with a rating greater than 4 along with those articles.

query {
  authors (order_by: {name: asc}) {
    id
    name
    articles(order_by: {rating: desc}) {
      id
      title
      rating
    }
  }
}

Fetch a list of authors sorted by their names with a list of their articles sorted by their rating.

query {
  articles_aggregate {
    aggregate {
      count
      sum {
        rating
      }
      avg {
        rating
      }
      max {
        rating
      }
    }
    nodes {
      id
      title
      rating
    }
  }
}

Fetch a list of articles with aggregated data of their rating.

query MyQuery {
  productsVectorDistance(
    args: {query_vector: "<input vector>"}
    limit: 10
    order_by: {
      distance: Asc
    }
    where: {
      product: {
        price: {
          _gt: 500
        }
      }
    }
  ) {
    id
    distance
    product {
      name
    }
  }
}

Search products based on vector and price.

GraphQL mutations on YugabyteDB

Perform robust data manipulation operations on your YugabyteDB database with GraphQL mutations. Insert, update, or delete data in YugabyteDB via Hasura’s native queries.

mutation {
 insert_artist(id: 100, name: "New Artist") {
   ArtistId
   Name
 }
}

Insert into the artist table in YugabyteDB with values for `id` and `name` columns.

High-performance GraphQL APIs, at scale

Hasura takes a domain-driven approach to GraphQL, where a GraphQL query is compiled to a query on a domain model (a database query or existing APIs) resulting in superior API performance.

Hasura leverages the goodness of PostgreSQL to create efficient GraphQL queries.

Compile vs. resolve

Hasura avoids the GraphQL N+1 query problem by compiling a query instead of resolving. This compiler-based approach allows Hasura to form a single SQL query for a GraphQL query of any depth and avoids the N+1 problem in GraphQL.

JSON aggregations in YugabyteDB

Hasura avoids the Cartesian product problem while fetching data from the underlying system by performing JSON aggregations in YugabyteDB.

Predicate pushdown SQL to YugabyteDB

Hasura filters data at the source with a predicate pushdown of SQL queries to YugabyteDB.

Performance benchmarks

Hasura’s GraphQL APIs are 3x faster than handwritten subgraphs on top of PostgreSQL

Learn more about how Hasura does high-performance domain-driven APIs.

Distributed YugabyteDB with read-replicas

Maximize your YugabyteDB database performance and scalability with Hasura’s read replicas support.

Easily configure distributed read replicas in Hasura to offload read-intensive operations, achieve seamless load balancing, and perform real-time analytics without impacting your primary database.

Configure routing, connection pooling, and load balancing.

Add caching to existing YugabyteDB APIs for faster response times

Get up to 10x faster API performance on YugabyteDB with end-to-end caching, scaling vertically and horizontally.

Hasura has metadata about the data models across data sources, and the authorization rules at the application level, which helps provide end-to-end caching.

Production-ready APIs on YugabyteDB, from day one

Observability

Monitor for known issues by debugging and analyzing metrics from your Hasura instance.

API security

Secure your APIs with tools including allow list, multiple JWT secrets, API rate limits, and more.

Authorization

Make granular read and write access control easy to configure on your YugabyteDB database with a built-in authorization engine.

How Cajoo Migrated From Shopify in 4 weeks with Hasura Cloud

How Pulley Cut Development Time by 50% with Hasura

Making breaking API changes without breaking your consumer app

Frequently Asked Questions

Can’t find the answer you are looking for? Reach out to our team, and we can help you select the Hasura plan that’s right for you.

If you have any more questions about pricing, we’re here to help.

How to optimize GraphQL queries on YugabyteDB?

What security measures are in place when using GraphQL with YugabyteDB?

Can I combine data from YugabyteDB and other sources in a single GraphQL query?

Can I use GraphQL with existing YugabyteDB databases?