Zack Rinkins
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Hasura is a backend as a service technology that enables one to provide an API directly from SQL databases. This allows organizations to build and manage APIs on their own without having to set up servers and hosting infrastructure.
Hasura GraphQL gateway generates GraphQL API queries, mutations, and subscriptions from a single or several database(s). The database is connected using a database URL. Hasura can merge the API generated from several databases into a single one.
Hasura helps you to build GraphQL apps backed by Postgres and incrementally move to GraphQL for existing applications using Postgres. It is simple, fast, and cost-effective.
Hasura comes with a lot of features that allow you to adopt GraphQL, including an in-built GraphQL handler, support for both Apollo and Relay, a hosted GraphQL endpoint for a high-performance backend, and more.
Hasura supports a variety of common mutations on your tables, with built-in support for filtering, bulk row insert, update and delete.
Convert any GraphQL query to a live query by using subscriptions. This process can be referred to as data normalization because it transforms the original query into a simplified version which is usually easier to process.
Hasura has the ability to merge GraphQL schemas and provide a unified GraphQL API. This gives you a single source of truth that can be accessed by clients in multiple languages and platforms, while also making it easy to test integrations with that data.
Point it to an existing Postgres database to instantly get a ready-to-use GraphQL API. A few simple commands later, you're running your first GraphQL server with a real-time database focused on helping developers create amazing GraphQL APIs in minutes.
Limit access to only the whitelisted resources as needed. Dynamic authorization that allows you to create a custom access control matrix and change it on the fly.
This application is built on top of a 15MB docker image, using only ~50MB RAM @ 1000 req/s. This ensures that your application will run smoothly, even under high demand.
Tons of features and a simple design, just like PostGIS. Supports Postgres types (PostGIS/geo-location), turns views to graphs, triggers stored functions or procedures with mutations
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