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Tag: Hasura

Yugabyte + Hasura Make it Easier to Build Complex, Global Applications

Yugabyte + Hasura Make it Easier to Build Complex, Global Applications

Building innovative applications that improve user experience and exceed expectations is hard. As users, we demand a lot. We demand that your applications always be available – who knows, we may want to order a new set of tires at 3:30 am on a Wednesday. We demand that your applications be fast wherever we are – doesn’t matter if it’s Phnom Penh or Philadelphia. And we definitely expect you to give us a good experience – your application should know what we want to do next and help us get there.

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Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

GraphQL provides a query language for APIs, giving UX developers autonomy over querying APIs and the database.

The advantages of using GraphQL for UX applications are well understood. GraphQL clients can retrieve only the data needed in the UI application. GraphQL provides a strong type system that avoids manual code parsing and data filtering that takes up precious processing cycles when rendering the UI to users. Additionally, GraphQL increases UX development’s velocity, and the feedback cycles needed for designing API responses are minimized.

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Distributed SQL Summit Recap: A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

Distributed SQL Summit Recap: A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

At the Distributed SQL Summit 2020, Tobias Meixner – CTO & Co-Founder at BRIKL, presented the talk, “A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura.”

Switching databases is painful, even more so when going from NoSQL to SQL. In this talk Tobias gave us insights into BRIKL’s two key elements of their migration path. First, migrating from Apollo Server and Amazon DynamoDB over to Hasura and YugabyteDB.

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Heroku Add-on for Yugabyte Cloud Now Available in Public Beta

Heroku Add-on for Yugabyte Cloud Now Available in Public Beta

Today, we are pleased to announce the public beta release of the Heroku Yugabyte Cloud add-on. With new accessibility to the Heroku marketplace, the process of deploying a fully-managed distributed SQL database in the cloud is now radically simple. For those of you who are new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud native distributed SQL database that is 100% open source. It puts a premium on high performance, data resilience,

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Webinar Recap: CRUD Operations with Hasura GraphQL and Distributed SQL

Webinar Recap: CRUD Operations with Hasura GraphQL and Distributed SQL

For those of you who missed last week’s YugabyteDB Community Q&A session, which covered GraphQL fundamentals, here’s the playback:

If you are interested in further exploring the possibilities of Hasura GraphQL and Distributed SQL, check out these resources.

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Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL

Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL

Remote Joins in Hasura GraphQL extend the concept of joining data across tables, to being able to join data across tables and remote data sources. In this blog post we are going to demonstrate this capability by configuring the following set up.

  • A 3 node YugabyteDB cluster running on GKE with a Hasura GraphQL Engine attached
  • A 3 node YugabyteDB cluster running on AKS with a Hasura GraphQL Engine attached
  • A Remote Schema and Remote Relationship configured
  • The ability to issue GraphQL queries that join data from two different databases,

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Scaling a Hasura GraphQL Backend with Distributed SQL

Scaling a Hasura GraphQL Backend with Distributed SQL

GraphQL is taking the modern development world by storm having been adopted by companies like Facebook, GitHub and Intuit because it solves many of the common problems developers encounter when working with REST APIs. For example, it solves issues like overfetching (getting more data than your response needs) and underfetching (having to make multiple fetches to get all the data you need), or when consolidating API responses on the client is necessary. When a developer follows the GraphQL spec,

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