The release of Hasura 2.0 included one of the most exciting features to date - multiple database backends, and in particular, support for our first new backend, Microsoft SQL Server. On the face of it, this probably seems like a relatively straightforward change.

Introducing `ltree` operator support in Hasura This post introduces support in Hasura 2.0 for queries on hierarchical data structures, with the help of Postgres `ltree` operators. It includes several examples, so we recommend that you create a new project in Hasura Cloud to try them out.

How to use Postgres and your application server to build a flexible and robust cron system ourselves with a few lines of code!

In this post we look back at the journey of building a UI for generating database migrations with a focus on ease of use, developer experience, productivity and the design choices we made to build this system.

In this post, I will cover the following: What are updatable views, How Hasura used updatable views, Key problems with updatable views (from a Hasura point of view) and Moving away from updatable views

In this post, we will look at important performance considerations for building apps at scale and how we leveraged PostgreSQL query caching and prepared statements to improve performance.

Source data from your existing postgres database for your react-static site using GraphQL APIs. Instant setup. Tutorial/boilerplate.

Exploit Postgres schemaless JSON types in your GraphQL queries using the open-source Hasura GraphQL Engine.

Modelling a tree data structure on postgres and using GraphQL to add and get data from the tree.