SQL will give you what you need, regardless of the database structure. The way I like to say it is this: GraphQL permits flexible queries within the framework set by the developer who built the API.

While GraphQL started with queries, it now supports mutations which allows you to create/update/delete data, again similar to SQL. The advantages of GraphQL are manifold.

GraphQL is a query language mostly used to streamline access to REST APIs. Now, a new breed of GraphQL implementations wants to build an abstraction layer for any database on top of GraphQL, and ...

GraphQL, an emerging standard for querying multiple types of data systems, is shifting the debate about how we access and transform data, and may very well have as much of an impact or more as SQL ...

Introducing Data API builder Designed to run on premises, at the edge, and in the cloud, Data API builder is an open source tool targeting five different databases: Azure SQL, SQL Server ...

DataStax today announced new capabilities of the open-source GraphQL API, enabling developers to more rapidly develop applications with Apache Cassand ...

Apollo GraphQL, the graph-based API orchestration leader, today announced the Apollo MCP Server, a solution that connects graph APIs to AI models using the Model Context Protocol (MCP). MCP has ...

Software developers are overwhelmed with the vast amounts of APIs needed to develop apps today, but GraphQL could present a new way.

But it's more than just a protocol: The Graph also has an implementation, which is open source and uses GraphQL. GraphQL is a query language for APIs, developed and open sourced by Facebook.

Hasura, the data access infrastructure company, is adding GraphQL support for MySQL and early access support for SQL Server to its existing support for PostgreSQL, enabling the company to support ...