Explore how Hasura seamlessly integrates state-of-the-art, open source observability tools via OpenTelemetry giving developers a holistic view of performance, user interactions, and potential bottlenecks.

An implementation-level description of the architecture that allows Hasura v3 to achieve better-than-Dataloader performance across multiple different data sources.

Combining Hasura’s ability to instantly generate GraphQL APIs and ClickHouse’s powerful real-time analytics capabilities allows developers to rapidly innovate and deliver blazing-fast applications that include real-time analytics.

In this blog post, we'll guide you through the process of building such a backend, highlighting the use of Snowflake and PostgresSQL databases, as well as demonstrating individually executed and nested queries.

When you treat your graph like a set of nodes, you miss the point of GraphQL. The beautiful thing about data living in a graph is that each piece of data becomes enriched by virtue of its relationships with other pieces of data.

Boost your productivity with Hasura and Portkey This blog illustrates how Hasura and Portkey can boost your productivity and help you stay competitive.

In this post, I would like to summarize some key takeaways from the conference and how exciting the future of GraphQL looks like.

In this blog post, we'll explore the exciting capabilities of Hasura Logical Models and Native Queries allowing users to execute SQL queries in Snowflake and seamlessly operationalize them over the Hasura schema.

The deal is simple: Participants with four pull requests (PRs) accepted between October 1-31, 2023 will receive a unique digital reward from Hacktoberfest, and if you’re lucky, win $1000 with our Hasura supergraph Top-N challenge!

After attempting a few DIY options, Renaissance settled on the Hasura-Snowflake connector as their preferred solution for pulling the required data from Snowflake into the app via APIs.

As backend engineers, they spent a lot of time figuring out how to connect routes to controllers, controllers to services, and services to the data access level. All of this work is replaced by Hasura.

With our v3 release around the corner, we ran an internal two-day hackathon in an effort to validate and test our features, as well as to find potential bugs. In this post, we share how this hackathon helped us prepare for a successful user-facing launch.