Releasesby Glyph
Amazon S3 Tables now provide a simple, cost-effective path for data lake modernization
Amazon S3 Tables now provides managed migration of Apache Hive tables to Apache Iceberg, automating validation, conversion, and compaction while maintaining production workloads.
Also shipped Nov 4, 2026AWS in November 2026 →
[Launched] Generally Available: Azure Database for PostgreSQL stable REST API version 2026-10-01
The Azure Database for PostgreSQL Flexible Server REST API version 2026-10-01 is now generally available, introducing new capabilities for maintenance, immutable backups, and encryption.
Analytics API (Public preview): report on the health of the data behind your agents, from your AI tool
The Monte Carlo Analytics API is now in public preview, allowing users to query data health, alert status, and cost metrics directly from AI tools via the Monte Carlo MCP server.
Twice the included embedding tokens through December 31
Pinecone is doubling the included monthly embedding tokens for Starter and Builder organizations through December 31, 2026.
Gemini Enterprise: Switch between teams in the mobile app
The Gemini Enterprise mobile app now supports switching between multiple teams without re-authentication, and allows renaming or removing teams from the list.
Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Postmortems End of Life Completed
The Postmortems feature has been retired in favor of the upgraded Post-Incident Reviews in the PagerDuty web UI.
More from Amazon S3 Tables and VectorsEvery Amazon S3 Tables and Vectors release →
Amazon S3 is now available on the Vercel Marketplace and v0 by Vercel
Amazon S3, including S3 Tables and S3 Vectors, is now available natively on the Vercel Marketplace and v0. Developers can provision and connect object, vector, and open table storage directly within Vercel.
Amazon S3 Tables now support up to 100 table buckets per AWS Region in an AWS account
Amazon S3 Tables now support up to 100 table buckets per AWS Region in an AWS account, increased from 10. This allows you to create up to 1 million tables per AWS Region in an AWS account.
Amazon S3 Tables now support all Apache Iceberg V3 data types
Amazon S3 Tables now supports all Apache Iceberg V3 data types and features, including deletion vectors and row lineage. Users can create new V3 tables or upgrade existing V2 tables to improve performance and storage efficiency.
Amazon S3 Vectors now supports metadata pre-filtering for higher recall on filtered searches
Amazon S3 Vectors now supports metadata pre-filtering, allowing users to evaluate filters before similarity searches. This improves recall for scoped queries by narrowing the search space based on attributes like tenant or category.
Amazon S3 Vectors introduces metadata pre-filtering for up to 5x higher recall on filtered search
Amazon S3 Vectors now supports pre-filtering, which evaluates metadata filters before running similarity search, returning up to 5x more of the matching vectors when your filter is selective. S3 Vectors also adds a prefix match operator ($startsWith) for filtering on values like paths and URLs.