Is DynamoDB suitable for dashboarding purposes?
💡 Model Answer
DynamoDB is a highly scalable key‑value and document database, optimized for single‑digit millisecond read/write latency. It excels at transactional workloads but is not designed for analytical queries. Dashboards typically require aggregations, joins, and ad‑hoc filtering across large datasets. DynamoDB does not support SQL‑style joins or complex aggregations natively, and performing such operations would require pulling large amounts of data into an application layer, which is inefficient. Additionally, DynamoDB’s pricing model is based on provisioned throughput, so large analytical scans can become expensive. For dashboarding, it is better to export or stream data from DynamoDB into a columnar data warehouse (e.g., Snowflake, Redshift, BigQuery) or a BI tool that can handle analytical workloads. If you must use DynamoDB, consider using DynamoDB Streams with Lambda to materialize aggregates in a separate table or use Amazon Athena with DynamoDB as a data source, but these workarounds add complexity.
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