Releasesby Glyph
Amazon DynamoDB now supports real-time vector search at any scale
Today, we’re announcing the general availability of vector search in Amazon DynamoDB . You can now store vector embeddings alongside your operational data in DynamoDB and run similarity searches directly against that data, without replicating it to a separate vector store.
Also shipped Aug 5, 2026AWS in August 2026 →
Openflow Connector for SQL Server (CDC) (General availability)
The Openflow Connector for SQL Server (CDC) is now generally available. The connector captures every row-level change from Microsoft SQL Server using Change Data Capture (CDC) and replicates selected tables into Snowflake in near real-time or on a schedule. It supports initial snapshot load, incremental sync, and schema evolution.
REPLACE USING flows for pipelines (Beta)
REPLACE USING flows are now available in Lakeflow pipelines in Beta . Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged.
The Table Visualization Improvements feature is now generally available
The Table Visualization Improvements feature is now generally available. You can now use the following features for table visualizations : Pagination Show/Hide Table Headers Table Borders Cell Highlighting Conditional formatting for string fields
More from Amazon Aurora and DynamoDBEvery Amazon Aurora and DynamoDB release →
Amazon DynamoDB global tables with multi-Region strong consistency now supports additional AWS Regions and cross-continent configurations
Starting today, Amazon DynamoDB global tables with multi-Region strong consistency (MRSC) is available in five additional AWS Regions: Canada (Central), Europe (Stockholm), Europe (Spain), Asia Pacific (Mumbai), and Asia Pacific (Singapore), bringing the total number of supported Regions to 15.
Amazon ElastiCache Global Datastore now supports tagging and tag-based access control
Amazon ElastiCache now supports resource tagging and tag-based access control (TBAC) for Global Datastore. Previously, ElastiCache supported tagging on all resources except Global Datastore, which prevented customers from applying a single, consistent permission and cost-allocation model across their ElastiCache fleet.
Amazon DocumentDB (with MongoDB compatibility) adds support for 5 MongoDB aggregation stages and change stream capabilities in version 8.0.2
Amazon DocumentDB (with MongoDB compatibility) now supports retryable writes, 5 new aggregation stages, and change stream enhancements starting from minor version 8.0.2. This release expands MongoDB API compatibility and improves query performance, making it easier to migrate MongoDB workloads to Amazon DocumentDB without application code changes.
Amazon DocumentDB (with MongoDB compatibility) now supports retryable writes
For developers building MongoDB-compatible applications, retryable writes improve application resilience during transient errors such as network interruptions or primary failovers.
Amazon Aurora now supports PostgreSQL 18.6, 17.11, 16.15, 15.19, 14.24
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 18.6, 17.11, 16.15, 15.19, and 14.24, which include bug fixes from the PostgreSQL community and Aurora-specific enhancements.
Amazon ElastiCache Serverless for Valkey now supports public endpoints
Amazon ElastiCache Serverless for Valkey now supports public endpoints, letting you connect to your cache directly from a laptop, a serverless function, or any application running outside AWS, without setting up a VPN, a bastion host, or an SSH tunnel.
Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake
Amazon Aurora PostgreSQL now supports direct queries of data stored in Apache Iceberg and Parquet formats within data lakes. This eliminates the need for ETL pipelines when combining transactional data with historical records.
Amazon Aurora serverless now scales faster to support agentic AI and other bursty workloads
Amazon Aurora serverless now scales in even larger steps, adding up to 16 ACUs to its current capacity within a second and continuing to scale up to 256 ACUs as your workload grows. With this launch, your workload will scale faster and reach capacity that it requires.