Database Partitioning
Dividing a large table into smaller, more manageable pieces while keeping them in the same database. Sharding is partitioning across servers.
What is Database Partitioning?
Dividing a large table into smaller, more manageable pieces while keeping them in the same database. Sharding is partitioning across servers.
Database Partitioning 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 "Database Partitioning" 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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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.
Replication
Keeping copies of the same data on multiple servers. Improves read performance and provides fault tolerance if one server goes down.
Index
A data structure that speeds up database lookups. Like the index at the back of a book that lets you jump to the right page instead of reading every page.