SQL's longevity is rooted in its fundamental relational algebra principles, which have remained relevant for over 50 years.
GraphQL allows clients to declaratively query exactly the data they need using a strongly-typed schema, solving problems faced by earlier APIs.
The SQL++ standard extends traditional SQL to query semi-structured JSON data, bridging the gap between relational principles and modern applications.
While simple and approachable, REST APIs often suffer from over-fetching by returning fixed, heavy data payloads that clients cannot customize.
A live demonstration shows how GraphQL and SQL++ allow for flexible, client-defined data responses, unlike the rigid structure of REST API calls.
A summary of each technology's strengths helps determine when to use GraphQL for flexibility, REST for simplicity, or SQL for direct data access.
Security concerns like expensive joins in GraphQL can be mitigated through careful schema design and resolver implementation, while versioning is managed via the schema itself.
The GraphQL schema serves as a clear contract between frontend and backend teams, improving communication and reducing documentation ambiguity.
GraphQL is unlikely to completely replace SQL or REST but offers significant performance gains over REST by reducing network payload size for large or frequent queries.
28:16Alexis Yushin
46:47Ruwan Xaviour Fernando
34:28Uri Goldshtein
47:48William Lyon
40:45Josh Goldberg
41:06David Leitner
36:58Simone Sanfratello
47:16Maxime Beugnet
Jobs that call for the skills explored in this talk.
Atolls
Atolls
brandung GmbH & Co. KG
CONTIAMO GMBH
Berlin, Germany
Sector Nord AG
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Peter Park System GmbH
München, Germany