Have more than 10 years of experience in designing, developing and maintaining database systems on diverse platforms such as Oracle, Postgres, MySQL, Mongo, Cassandra, Redis, and SQLServer.
This is my personal experience, which may be correct or not relative to different circumstances. GraphQL is a technology that compliments the traditional relational databases. They bring advantages for our next generation web platforms and provide a very robust set of tooling for development in large scale web applications.
There is no direct comparison between relational databases and GQL as the relational database are designed to store large sets of data with the capability to identify datasets with relations, whereas GQL is an API that facilitates the development with rapid response methodology with a gigantic backend data warehouse.
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This is my personal experience, which may be correct or not relative to different circumstances. GraphQL is a technology that compliments the traditional relational databases. They bring advantages for our next generation web platforms and provide a very robust set of tooling for development in large scale web applications.
There is no direct comparison between relational databases and GQL as the relational database are designed to store large sets of data with the capability to identify datasets with relations, whereas GQL is an API that facilitates the development with rapid response methodology with a gigantic backend data warehouse.