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Commonly confused · Data & Analytics

OLTP vs OLAP: What's the Difference?

OLTP systems handle many small, fast transactions such as orders and payments, keeping current data normalized and consistent. OLAP systems run complex analytical queries over large volumes of historical data, usually in denormalized warehouse models.

OLTP (Online Transaction Processing)

vs

OLAP (Online Analytical Processing)

OLTPOLAP
PurposeRun day-to-day operationsAnalyze and report on the business
Query typeShort inserts, updates, single-row lookupsComplex aggregations across many rows
DataCurrentHistorical, often aggregated
Schema designHighly normalized (3NF)Denormalized star or snowflake schema
UsersApplications and many concurrent usersAnalysts and BI tools
Key metricTransactions per secondQuery response time over large datasets
ExamplePoint-of-sale databaseSales trend dashboard in a data warehouse
Remember it

OLTP records the sale; OLAP explains the sales.

Exam tip

Scenario questions describe the workload: high-volume order entry is OLTP, quarterly trend analysis is OLAP. Normalization goes with OLTP and star schemas with OLAP.

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