Releasesby Glyph
AWS Glue zero-ETL now captures archived Salesforce records
AWS Glue zero-ETL integrations for Salesforce now capture archived records in your target tables, giving you a complete replica of your Salesforce data for analytics and reporting. Archived records are identified and reflected accurately through the isArchived field, so your analytical data stays fully in sync with your Salesforce source.
Also shipped Sep 15, 2026AWS in September 2026 →
Predict dynamic table refresh behavior with EXPLAIN CHANGES (General availability)
You can now use EXPLAIN CHANGES to predict a dynamic table's refresh behavior before it happens, either for a manual refresh or as part of a DDL change, without applying the change.
Horizon Catalog Explorer UI (Preview)
With this release, the Horizon Catalog Explorer is the default experience for browsing Snowflake objects in Snowsight, replacing Database Explorer. The Horizon Catalog Explorer provides consistent navigation and object detail pages while preserving the tabs and actions that you already use.
Embedding Streamlit in Snowflake apps in external pages (General availability)
Embedding Streamlit in Snowflake apps in external pages is now generally available. You can render a container-runtime app inside a page you host, such as a customer portal or an internal dashboard, using a single tag.
Elastic Channels for Snowpipe Streaming (General availability)
Elastic Channels for Snowpipe Streaming are now generally available. Elastic Channels provide one implicit, server-scaled ingestion path per pipe, so concurrent producers can stream directly to Snowflake tables and supported Snowflake-managed Iceberg tables without managing channel names, lifecycle, ordering, or offset tokens.
Webhook-triggered deployments for Databricks Apps will soon be generally available
Starting in October 2026, webhook-triggered deployments for Databricks Apps will be generally available. Automatically deploy your app when changes are pushed to a connected GitHub or Azure DevOps repository, so your deployed app stays in sync with your repository without manual redeployment. See Deploy a Databricks app .
Sharing foreign Delta tables with OpenSharing is now generally available
Sharing and reading foreign Delta tables with OpenSharing is now generally available. Providers can share Delta-format tables federated from OneLake, a Hive metastore, or AWS Glue, without copying data into Databricks. See Add foreign Delta tables to a share .
More from AWS Glue and Lake FormationEvery AWS Glue and Lake Formation release →
AWS Glue zero-ETL adds target table property ownership and conflict detection
AWS Glue zero-ETL integrations now detect table property conflicts and track integration ownership. When you configure a source table and target catalog, Glue associates the resulting table properties with the owning integration, so two integrations can no longer be pointed at the same target table without your knowledge.
AWS Glue Data Quality delivers context-specific rule recommendations in seconds
AWS Glue Data Quality now generates data quality rules in seconds, reducing the time to establish data quality checks for your tables in the AWS Glue Data Catalog. You get a ready-to-use set of rules with full coverage across every column, with no manual setup, so you can move from raw data to trusted data faster while authoring pipelines.
Apache Iceberg materialized views now support system-managed write protection
Today, AWS announces system-managed materialized views for Apache Iceberg. Materialized views let you precompute an expensive query once and reuse the result across engines. Because this result is an open Iceberg table in your data lake, anyone with write access can change it, either through the catalog or by writing to the files in Amazon S3.
AWS Glue Data Catalog now supports table optimization, statistics, and crawlers for Apache Iceberg V3
AWS Glue Data Catalog now supports table optimization, statistics, and crawlers for Apache Iceberg Version 3 (V3) tables. With these new capabilities, you can automatically maintain V3 tables, optimize them for query performance, and discover them in Amazon S3.
AWS Glue 6.0 now available with 30% lower price and full Apache Iceberg v3 support
Today, we are announcing the general availability of AWS Glue 6.0 , delivering 30% lower pricing than previous AWS Glue versions and introducing full support for Apache Iceberg v3 features. AWS Glue 6.0 is built on a fully modernized runtime, Apache Spark 4.1, Python 3.13, and Scala 2.13, delivering faster performance.
Amazon EMR now supports native data quality checks in Apache Spark jobs
Amazon EMR now validates data quality natively within Apache Spark jobs. Data engineering teams can catch quality issues inline before bad data reaches downstream systems, without building or maintaining separate validation infrastructure.
AWS Glue Data Catalog now supports OAuth for Apache Iceberg REST Catalog APIs
AWS Glue Data Catalog now supports OAuth 2.0 bearer token authentication for Apache Iceberg REST Catalog APIs, allowing secure federated access for third-party analytics platforms.
AWS Glue Data Catalog now supports Apache Iceberg table optimization in the US West (N. California) Region
Automatic table optimization for Apache Iceberg is now available in the US West (N. California) region. It compacts small files and removes unreferenced snapshots to improve query performance.