Releasesby GlyphIntroducing AI dashboard and workflow generation in ClickStack
ClickStack can now generate full dashboards and linked investigative workflows from a single prompt, using an AI Notebook and the same MCP tools available to external agents like Claude, Cursor, and Codex.
Also shipped Jul 6, 2026ClickHouse 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.
You 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 .
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 ).
More from ClickHouseEvery ClickHouse release →
Introducing pg_re2, fast, RE2-powered regular expressions in Postgres
Introducing pg_re2, a Postgres extension that brings ClickHouse's fast RE2-powered regular expressions to Postgres, with benchmarks and pg_clickhouse pushdown integration.
ClickHouse Release 26.6
ClickHouse 26.6 is here! In this release, we have hypothetical skip indexes, cascading refreshable materialized views, experimental support for continuous queries, and more!
ClickHouse on Docker Hardened Images
ClickHouse is now available as a Docker Hardened Image: a minimal, security-hardened build that passes enterprise vulnerability scans by shipping only what the database needs to run, with no change to how ClickHouse behaves.
One Driver, One Format, Every Language: ADBC
ClickHouse now has an official ADBC driver, giving Ruby, R, C, and every other ADBC-aware tool zero-conversion, Arrow-native access to ClickHouse without a dedicated client for each language.
ClickHouse Agents is now available for Managed Postgres
ClickHouse Agents now connects directly to Managed Postgres, so you can query your operational data in plain English, combine it with ClickHouse in a single request, and get agent-guided help monitoring, tuning, and migrating your databases.
@clickhouse/rowbinary: when your library is also a parser compiler
We've released @clickhouse/rowbinary a Node.js reader and writer for ClickHouse's RowBinary formats. You can import it and call its generic parser like any other library. But it also ships as an Agent Skill: point a coding agent at the bundled `SKILL.md`
Announcing Silk: a silky smooth fiber runtime for ClickHouse
Silk is a new open-source C++ fiber runtime built for ClickHouse, combining a NUMA-aware work-stealing scheduler, io_uring I/O, and zero heap allocation in the steady state to deliver nanosecond-level fiber yields and dramatically lower tail latency for h
ClickHouse is now a native connection in Notion Custom Agents
ClickHouse is now a native connection in Notion Custom Agents. Connect with OAuth and let agents run read-only queries on your data without leaving Notion.