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.

We are excited to announce the release of Hasura 2.0.0-alpha.8! This continues our journey towards 2.0 being fully feature stable. And, while ‘alpha’ in name, it is not alpha in quality.

In this post, we will look at the various data/time types available through Postgres and exposed via GraphQL by Hasura.

This release contains some large refactorings to the core of the Hasura product, as well as some large new feature additions. I’m going to talk about the software engineering tasks we tackled, challenges we encountered and how we met them.

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

Announcing Hasura 1.4.0.apha1. 1.4 is not a ‘small release’. In fact, the list of features is substantive and incredibly exciting. If you’ve attended a recent Hasura Community Call you may well have seen recent demos of these capabilities.

This post shows how to optimize your GraphQL API using some of Postgres' most popular features. These will help with data validations, data representation and performance enhancement.

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.

Hasura Pro is an enterprise ready version of the Hasura GraphQL Engine that offers improved reliability and security controls.

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