Now, though, they can get away with creating a single GraphQL schema that works with multiple data sources, transforming data access into a self-serve process. Developers will therefore enjoy some ...

While access via REST APIs often require multiple back and forth HTTPS messages, GraphQL queries can usually ... graphs that underlie many JSON data sources and go straight to the exact piece ...

Second, to facilitate federation of and querying across distributed linked data sources ... Can GraphQL be a layer for universal database access? Schickling said that supporting multiple databases ...

The early release of Hasura’s GDC SDK furthers Hasura’s goal of allowing enterprise teams to connect to all types of data sources to Hasura, and to getting a powerful GraphQL API on their data.

Since its launch a few years ago, GraphQL platform Hasura has made it easier for developers to use GraphQL by simplifying the process of connecting their data sources to their applications and ...

Among the many ways of implementing a GraphQL engine, only one approach offers the same performance, scalability, and ACID guarantees as the underlying database. When we talk about advantages of ...

ETL software pulls data from various sources and feeds it through ... A central concept in GraphQL is the stitching of multiple pieces of data; you get customer data from one backend, and orders ...

A fledgling open-source startup that’s setting out to tackle API sprawl in the GraphQL ecosystem ... may require it to make multiple requests to get all the required data. This makes it more ...

Over time, as more output options came along beyond the website, headless content management systems developed to make it easier to generate content for multiple ... number of data sources ...