Scan vs query

DynamoDB scan vs query cost: when reads get expensive

Compare DynamoDB scan and query cost patterns and learn how Dynasight surfaces scan-heavy workloads and access pattern issues.

Is DynamoDB Scan more expensive than Query?

A DynamoDB Scan can become more expensive than a targeted Query because it may read broad table or index data before filtering results. Dynasight helps teams find scan-heavy workloads that point to missing query access patterns.

  • Find production reads that depend on broad scans.
  • Spot FilterExpression patterns that filter after reading.
  • Connect scan cost to access pattern redesign.

Read patterns

Query paths usually scale better than broad scans

Queries use keys and indexes to target data. Scans inspect broader data sets, which can be acceptable for small or operational workflows but risky as production tables grow.

  • Queries are shaped by partition keys, sort keys, and indexes.
  • Scans can read data that the application later discards.
  • FilterExpression can reduce returned results without reducing all read work.
  • Growing tables can turn tolerated scans into recurring cost problems.

How Dynasight catches scan-heavy behavior

Dynasight surfaces tables and workloads where scan activity, filtering, and table growth suggest an access pattern review is needed.

FAQ

Common questions

Are scans always more expensive than queries?

Not always, but scans are more likely to become expensive as table size and frequency grow because they can read more data than the application needs.

Does FilterExpression reduce DynamoDB read cost?

A FilterExpression filters results after DynamoDB reads matching data, so it can hide inefficient reads rather than eliminate the underlying work.

What should I use instead of Scan?

Use a Query with keys or indexes that match the access pattern when the workload needs targeted production reads.

Keep exploring

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