Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Explore how APIs and backend integration power scalable mobile app development. Learn strategies for performance, security, and future-ready architecture.

Unlike REST, which makes use of multiple endpoints to access different kinds of resources, GraphQL utilizes only a single endpoint. So, clients can request exactly the data they need from that ...

In this article, you will learn how GraphQL differs from REST, how those differences impact API design, and why GraphQL often makes a better choice than REST for fetching data from a server ...

Data fetching is another area where REST and GraphQL diverge. With REST, to assemble a view requiring data from multiple resources, you would typically need to make multiple round trips to the server.

will focus on accessing and exporting data using Python. This article will just cover some of the methods that can be used to access different subsets of data using different metrics and dimensions.

Expanding on Hasura’s existing data federation capabilities, the new capability will enable developers to easily fetch data from multiple databases and other GraphQL services.

Expanding on Hasura's existing data federation capabilities, developers now have the ability to easily fetch data from across databases and other GraphQL services.

Think of GraphQL like SQL, where you can retrieve data from multiple database tables using one query. GraphQL perfectly solves over-fetching, under-fetching, discoverability, and authorisation/aut ...