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Choosing a Data Warehouse Print

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Selecting the analytical store.

WHAT THE MAIN CATEGORIES ARE

Cloud warehouses, billed by usage Self-hosted analytical databases Query engines over lake storage Single-machine analytical engines

WHAT CLOUD WAREHOUSES PROVIDE

No infrastructure to operate Elastic scaling Separation of storage and compute

WHAT THEY COST

Usage-based billing that can rise sharply Foreign-currency charges Data transfer costs

WHY THAT MATTERS HERE

Costs move with the exchange rate independently of usage, and a careless query can be expensive.

WHAT TO CONFIGURE IMMEDIATELY

Spending limits and alerts Query timeouts Scan limits per query where supported

WHAT SELF-HOSTED OPTIONS PROVIDE

Predictable cost Data remaining under your control No per-query charge

WHAT THEY COST

Operational responsibility Capacity planning

WHAT SINGLE-MACHINE ENGINES PROVIDE

Very fast analytical queries with no infrastructure at all.

WHAT THEY SUIT

Datasets up to substantial size on one machine, which covers most organisations.

WHAT TO ASSESS

Your actual volume Your team's operational capacity Whether costs are predictable enough


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