The director of the data platform team explains that Hasura far surpasses traditional catalogs by providing critical integration with data warehouses – an essential capability for effective governance and self-serve access.

For GraphQL adoption to become viable for the organization, they needed Hasura's connect-and-compile approach. Hasura not only made GraphQL feasible but also satisfied additional criteria the organization had established for their chosen GraphQL solution.

Toronto-based engineering firm Tactable was first drawn to the overall value Hasura brings to backend development, and they’ve leveraged Hasura to deliver successful projects for major brands, including Shopify, Rakuten, and Walmart.

We will explore how Hasura revolutionizes the API ecosystem by enabling data aggregation, supporting microservices and federated GraphQL, facilitating serverless architecture, enabling multi-cloud strategies, and empowering real-time updates and event-driven APIs.

Together, Hasura and Snowflake accelerate the development cycle for data-intensive applications by drastically reducing the effort required to create a data API that acts as the self-service data access layer for application developers and other data consumers.

Today we’ve released the alpha of the Hasura GraphQL Data Connectors as open source. This is a combination of an API Agent, an SDK to develop against that agent, and a reference application to show a working example of how it all works to provide new connections to varied data sources.

In this article, we'll look at the parts of a data model, ways to get started with modeling, and helpful terms to know to help you parse the data models of others.

In this post, I’m going to talk about the product vision of Hasura, our technical design philosophy, how Hasura compares to other technologies in the landscape and finally some FAQs about Hasura.