Releasesby GlyphYou can use Gemini in Spanner Studio to fix errors in your SQL queries
You can use Gemini in Spanner Studio to fix errors in your SQL queries. When you run a query that contains an error, you can click Fix to view a line-by-line comparison of your query and a recommended correction, along with an explanation of the change. This feature is available in Preview .
Also shipped Jul 6, 2026Google Cloud in July 2026 →
Budgets are now generally available
Budgets, including budgets for Unity Gateway, are now generally available. Budgets let admins define spending thresholds. For requests managed through Unity Gateway, including Genie interactions, admins can set additional per-user thresholds and overrides, with configurable actions such as email alerting and usage blocking.
Private Link for account-level resources (Beta)
You can now use Private Link to privately connect to Databricks account-level resources, such as the account console, through a VPC interface endpoint instead of the public internet. See Configure inbound Private Link for account-level resources .
July 6, 2026
This serverless compute release includes updates from Databricks Runtime 18 . New features Spark Declarative Pipelines on Lakeflow streaming query ID : Spark Declarative Pipelines on Lakeflow can now set the streaming query ID on demand.
Modeling
- Added support for agent-specific AI context via the omni_agent Mustache namespace, allowing you to customize AI behavior on a per-agent basis. See Optimize models for Omni AI for more information.
Self-serve identity provider changes
- New: Users with the Owner role can switch their tailnet's identity provider from the admin console for supported providers ( beta ).
AI_TRANSLATE now supports long-document translation
Snowflake Cortex AI_TRANSLATE now supports translation of up to 100,000 input tokens, enabling organizations to translate large documents and long-form text directly in Snowflake.
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Spanner supports creating tables without defining primary keys
Spanner supports creating tables without defining primary keys. When you create a table without a primary key, Spanner creates a hidden rowid column that serves as the primary key. For more information, see Create a table without defining a primary key .
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 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 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 PostgreSQL dialect supports the TABLESAMPLE operator
PostgreSQL-dialect Spanner databases can use TABLESAMPLE to select a random sample of a dataset.
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 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.
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 .