Releasesby GlyphSpanner Graph adds semantic options and key uniqueness validation
CREATE PROPERTY GRAPH can set description and synonyms options on labels and properties to help natural language query interfaces, and a validate_element_key_uniqueness option controls validation at schema creation.
Also shipped Sep 11, 2026Google Cloud in September 2026 →
Automations in Snowflake CoWork (General availability)
Automations in Snowflake CoWork are now generally available. An automation turns a one-time report into a recurring one: Snowflake CoWork re-runs your question with fresh data on the schedule you choose and emails you the results, including a summary and key metrics, along with a link that opens the full report so you can ask follow-up questions.
Sharing foreign Iceberg tables with OpenSharing is now generally available
Sharing and reading foreign Iceberg tables with OpenSharing is now generally available. Providers can share Iceberg tables federated from foreign Iceberg catalogs using Lakehouse Federation, including to recipients using external Iceberg clients.
Sharing foreign schemas and tables with OpenSharing is now generally available
Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available. Providers can share foreign schemas and tables federated from external data sources using Lakehouse Federation, without copying data into Databricks.
Session restore for serverless jobs is in Public Preview
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the entire job. Databricks captures the snapshot automatically for eligible runs. See Session restore for serverless jobs .
Second generation Openflow deployments and runtimes now available on GCP
Second generation (gen 2) Openflow deployment and runtime SQL objects are now available on Google Cloud Platform (GCP), in addition to AWS and Azure. Previously, gen 2 deployment and runtime SQL objects were generally available only on AWS and Azure.
Add VS Code Agents to Copilot usage metrics
GitHub Copilot usage metrics reports now include generally available metrics for activity in the dedicated VS Code Agents window, helping you measure adoption and engagement across enterprises and organizations.
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Spanner queues are generally available (GA)
Spanner queues are generally available (GA) . Spanner queues provide transactional messaging to help you manage asynchronous work. The feature pairs this capability with the scalability and reliability of Spanner, letting you build event-driven applications. For more information, see the Spanner queues overview .
Spanner adds automatic parameterization of SQL query literals
Spanner converts hardcoded literals in CRUD-style queries such as primary key lookups, index lookups and key joins into parameters, so execution plans are cached and reused to cut latency and CPU costs.
Spanner PostgreSQL dialect adds ILIKE and NOT ILIKE
PostgreSQL-dialect databases in Spanner now support the ILIKE and NOT ILIKE operators and the pg.ilike and pg.not_ilike functions for case-insensitive pattern matching.
Spanner PostgreSQL dialect supports the TABLESAMPLE operator
PostgreSQL-dialect Spanner databases can use TABLESAMPLE to select a random sample of a dataset.
Spanner supports expression indexes on scalar expressions
Secondary indexes can be built on scalar expressions over one or more columns, removing the need for dedicated generated columns just for indexing.
Spanner applies the 80,000 mutation limit per DML statement
The DML mutation limit now applies per statement instead of across the whole transaction, so transactions can run several DML statements that together exceed it. The 100 MiB commit size limit still applies.
Spanner dynamic channel pooling for Go and Java clients is GA
Dynamic channel pooling for gRPC channels prevents issues from under- or over-provisioned channels and reduces configuration overhead in the Go and Java client libraries. It is disabled by default.
Spanner supports approximate aggregate functions for both GoogleSQL and PostgreSQL dialects
Spanner supports approximate aggregate functions for both GoogleSQL and PostgreSQL dialects. These functions produce statistical estimates of distinct counts, allowing you to compute results faster and save resources on large datasets compared to exact aggregation.