Amazon Aurora DSQL Adds Support for Indexing NUMERIC Data Types

Aurora DSQL now enables index creation on NUMERIC columns, enhancing query performance for precise numerical workloads.

By Nina Foster · Editorial pseudonym · 2026-02-03 · 1 min read

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-02-03. Source published: 2026-02-03. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

With this update, NUMERIC data types are allowed in primary and secondary indexes, facilitating efficient queries for datasets involving high-precision figures such as financial transactions or scientific measurements.

This extension supports workloads requiring exact numerical computations by improving response times and scalability when filtering or sorting on NUMERIC fields, broadening Aurora DSQL's applicability in data-intensive applications.

Source & further reading

Amazon Aurora DSQL now supports indexes on the NUMERIC data type ↗

Source published 2026-02-03. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.