Data Federation
Splitting databases by function (users in one DB, orders in another) so each database handles only its domain. Simpler than sharding but limits cross-domain joins.
What is Data Federation?
Splitting databases by function (users in one DB, orders in another) so each database handles only its domain. Simpler than sharding but limits cross-domain joins.
Data Federation is a intermediate-level concept that sits in the Data Replication & Distribution area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Data Federation" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
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Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
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Related glossary terms you might want to look up next.
Sharding
Splitting a database into smaller pieces (shards) distributed across multiple servers. Each shard holds a subset of the data.
Microservices
An architecture where an application is split into small, independent services that communicate over the network. Each service owns its own data and can be deployed separately.
Database Partitioning
Dividing a large table into smaller, more manageable pieces while keeping them in the same database. Sharding is partitioning across servers.