GraphQL vs Rest API - why graphql?
GraphQL vs REST, explained in 2 minutes — clearly, and from the ground up.
Both are styles for fetching data over HTTP, and they solve the same job in
very different ways. This visual explainer builds the idea from zero: what an
API actually does, how REST exposes data as fixed endpoints, the two pain
points that fall out of that (over-fetching and under-fetching), how GraphQL's
single query-driven endpoint fixes them, and — most importantly — when to
reach for each. No hand-waving: real terms, real trade-offs.
By the end you'll be able to explain:
• Why REST returns a fixed JSON shape per endpoint — and why that causes
over-fetching (too much data) and under-fetching (too many round trips).
• How a GraphQL query lets the client ask for exactly the fields it needs and
get them back in a single round trip.
• The honest trade-off: REST caches beautifully over plain HTTP; GraphQL is
more flexible but harder to cache.
• Which one fits your project — and why plenty of systems use both.
⏱ Chapters
0:00 GraphQL vs REST — the one real difference
0:07 The big picture: client → server → database
0:25 REST: a menu of endpoints (fixed JSON shapes)
0:43 Problem #1 — over-fetching
0:56 Problem #2 — under-fetching (the request waterfall)
1:16 GraphQL: one endpoint, you write the query
1:34 REST vs GraphQL, side by side
1:47 When to use which (and using both)
1:59 Recap
TL;DR — REST is a fixed menu of endpoints; GraphQL is a single, query-driven
custom order. Neither wins outright: match the tool to the job.
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