Releasesby GlyphIntroducing ClickHouse's new TimeSeries Engine: Your drop-In Prometheus replacement
ClickHouse PromQL support lets you store Prometheus metrics in ClickHouse Cloud, query them using familiar PromQL, and bring metrics together with your logs and traces without rewriting queries in SQL.
Also shipped Sep 15, 2026ClickHouse 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 .
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Replica-aware routing public beta
Temporary tables and named sessions live on a single ClickHouse replica, so a follow-up query routed elsewhere can't see them. Replica-aware routing pins your requests to the same replica over HTTP or the native protocol , and here's how we built it.
ClickHouse is now available on the dbt platform
The ClickHouse adapter for dbt v2 is in public beta, powered by dbt’s Rust engine. ClickHouse also joins the dbt platform in private beta, supporting open-source ClickHouse and ClickHouse Cloud.
What's new in ClickStack - Aug ’26
The August ClickStack update brings dashboard variables, chart formulas, PromQL support, a metrics browser, LLM observability, and improvements to alerting and tracing.
The official ClickHouse provider for Apache Airflow is now available
The official ClickHouse provider for Apache Airflow simplifies data workflows with standard SQL operators, bulk inserts, and shared setup across self-managed Airflow and Astronomer.
ClickHouse release 26.8
ClickHouse 26.8 LTS introduces background queries, pipelined SQL, new text tokenizers, expanded data lake integrations, and faster Parquet, aggregation, and join queries.
Introducing WalShadow: Sub-second Postgres replication to ClickHouse from physical WAL
WalShadow replicates Postgres data directly from physical WAL into ClickHouse, delivering around 200 ms latency and 289,000 rows per second in benchmarks.
ClickHouse is a launch partner for the Data agent in ChatGPT Work
ClickHouse joins the Data agent in ChatGPT Work, connecting ClickHouse Cloud to natural-language queries, reports, and interactive dashboards.
Announcing On-Demand Compute: Instant compute for your most intensive workloads
ClickHouse On-Demand Compute lets you scale individual queries with additional workers, run intensive workloads without disrupting production, and use compute when you need it.