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What is OLAP vs OLTP

Definition

OLAP versus OLTP distinguishes two database workload types: OLTP (online transaction processing) handles many small, fast read-write transactions for day-to-day operations, while OLAP (online analytical processing) handles complex, read-heavy queries over large historical datasets for analysis.

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Clarifies which system design fits operational versus analytical needs
Prevents performance conflicts by separating transaction and analysis workloads
Guides storage choices, with row layout for OLTP and columnar for OLAP
Helps architects route each query type to the system optimised for it

Real World Example

A retailer runs its checkout on an OLTP database tuned for rapid individual sales, then replicates that data into an OLAP warehouse where analysts run heavy year-over-year queries without slowing the store.

FAQs

What is the core difference between OLAP and OLTP?

OLTP optimises for many fast, small transactions, while OLAP optimises for complex analytical queries over large historical datasets.

Why separate OLAP and OLTP systems?

Their workloads conflict; running heavy analytics on a transactional database would slow the operations that depend on fast writes.

Which storage layout suits each?

OLTP typically uses row-based storage, while OLAP typically uses columnar storage for efficient large-scale reads.