Turn your Java REST API to GraphQL using Hasura Actions
In this post, we will look at using Hasura Actions to convert your Java REST API written in Spring Boot to GraphQL.
In this post, we will look at using Hasura Actions to convert your Java REST API written in Spring Boot to GraphQL.
ನಮಸ್ಕಾರ (Namaskāra)! This is not a post on fintech, or even technology for that matter. This is the story of a product of tenacity, selflessness, and passion; a product that will transcend and outlive most technology we know of. This is the story of a massive dictionary that…
I’m happy to announce our $25M Series B financing led by Lightspeed (Techcrunch) with participation of our existing investors Vertex, Nexus, SAP.io & Strive.
Hasura’s core engine is built in Haskell. Although a seemingly risky choice initially, our choice of spending our innovation token / golden ticket to build with Haskell had paid off well.
In this post, we will look at using Hasura Actions to convert your Go REST API to GraphQL.
We will look at how to use Gatsby Source Plugins as a Remote Schema source and federate data using Hasura Remote Joins for a unified data model and GraphQL API
In this post, we will look at using Hasura Actions to convert your Ruby on Rails REST API written in Flask to GraphQL.
In this post, we will look at using Hasura Actions to convert your Python REST API written in Flask to GraphQL.
Furthermore, we have extensively used the bundle analysis tool for webpack called Bundle Analyser, which enables us to visualize both uncompressed and gzipped size of webpack output files with an interactive zoomable tree-map.
Automatic Natural Language Generation (NLG) has had a long tradition in the Computational Linguistics community, but the recent advances in deep learning have given it a new impetus. Its importance in the modern world cannot be overstated.
In this post, we will look at how a calendar app backend with complex scheduling logic can be implemented with Hasura GraphQL and Scheduled Triggers API in Hasura.
The goal of this project is to measure the room temperature using a combination of Arduino Uno / LM35 Temperature Sensor and keep pushing it to a Hasura Cloud instance every one minute, over a 12-hour period.
Read about an experience of moving from Django to Hasura with the outcome of better developer experience, better performance and lower costs.
We are happy to announce the stable release of v1.3 bringing in a slew of features like Data Federation via Remote Joins, Support for Relay and Scheduled Triggers.
After few weeks of being in beta, Hasura v1.3.0 is now released. This is one of the biggest Hasura releases till date, with 3 huge features being launched - Remote Joins, Relay support and Scheduled Triggers.
A series of live streamed panel discussions about GraphQL and its ecosystem. This edition explores using GraphQL along with Angular, React, Vue and Relay.
In this post, we will look at using Hasura Actions to convert your Node.js REST API to GraphQL.
In this article we will understand what REST & GraphQL are and the trade offs involved in using one or the other.
AuthGuardian by OneGraph is live on Product Hunt today, check it out
I’m delighted to announce the public beta of Hasura cloud! You don’t think about the number of instances, cores, memory, concurrent users, high-availability, realtime monitoring, caching, tracing, rate-limiting and other things that are infrastructure concerns
In this post, we will look at how to programmatically generate or manipulate the Hasura metadata using the Jsonnet data templating language.
“Scaling” is not a specific technique but an entire spectrum that stretches all the way from “Google scale” to the K8s cluster Karan runs on a Raspberry Pi plugged into a 12V shaver outlet in his bathroom to encrypt his DNS queries for peak privacy, while he asks Alexa to dim…
Relay is a JavaScript framework for declaratively fetching and managing GraphQL data. Hasura now has Relay support and we'd love your feedback!
Hasura Remote Joins lets developers treat data across different data sources as if it were one database without having to modify or affect the existing data source.