Welcome to the launch month for our next-generation product, the Hasura Data Delivery Network (DDN), built on the Hasura v3 GraphQL engine.

Explore the benefits of using AlloyDB and Hasura together and how they can help you build efficient and scalable applications.

Building GraphQL APIs manually requires a lot of effort and resources. This post talks about how Hasura helps build GraphQL APIs eliminating the challenges and time consumed.

The event triggers in Hasura enable you to perform custom business logic on your data. They capture events (insert, update, delete) on a specified table and then invoke an HTTP webhook to run the custom business logic. This article shows how to use event triggers with an MS SQL Server database. SQL Server database Before creating a Hasura application, you should have a SQL Server database available. Additionally, ensure that the database is

When you build a GraphQL API with Hasura, the GraphQL Engine automatically generates names for the GraphQL schema objects. Starting with Hasura v2.8.0 , you can customize the name of fields, types, and arguments. Why would you customize the names? In certain use cases, one Hasura application might have multiple databases. With the "naming convention" feature, you can: * group together all fields belonging to a database * solve co

We continue our progress towards 2.0 stability with today’s release of 2.0.0-beta 2. This beta features fixes across datasources, server, and numerous console improvements.

We continue our progress towards 2.0 stability with today’s release of 2.0.0-beta1. Let us explain what a beta means to the humans at Hasura.

We are super excited to announce the final alpha in the 2.0 series with 2.0.0-alpha.11. Including multiple bug fixes, SQL Server Explain support, and more...

Hasura helped Pulley cut development time by 50% by auto-generating and securing GraphQL for over 50 database tables

The release train continues towards the station with the release of 2.0 alpha 10. Including aggregation fields for SQL Server and BigQuery support.