Lake Compute engine in private beta

BetaSep 15, 2026UnverifiedAdded Sep 24, 2026

Lake Compute is a dedicated engine built on DuckDB that runs dbt models directly against Apache Iceberg tables. It is priced specifically for transformation.

Apache Iceberg Pricing

Read dbt Labs's release notes

https://docs.getdbt.com/docs/dbt-versions/release-notes

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More dbt platform releases

dbt platformSep 15, 2026

dbt State is generally available

dbt State skips or clones nodes when logic and data remain unchanged, avoiding unnecessary rebuilds. It is supported locally, on the dbt platform, and with external orchestrators.

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dbt platformSep 15, 2026

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Wizard Desktop runs the Wizard engine in a native application. It features rendered tables, charts, inline diffs, and parallel chats.

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dbt platformSep 15, 2026

ClickHouse connections for dbt v2.0 in private beta

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dbt platformSep 15, 2026

dbt Charts public beta

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dbt platformSeptember 2026

dbt State skips or clones nodes when logic and data haven't changed instead of rebuilding everything on every run. It works locally (dbt v1.7 through v2.0), on the dbt platform, and with external orchestrators.

GASource

dbt platformSeptember 2026

Lake Compute private beta: DuckDB-based engine for Iceberg tables

Lake Compute is a dedicated engine built on DuckDB that runs dbt models directly against Apache Iceberg tables, priced for transformation only. It is in private beta.

BetaPricingApache IcebergSource

dbt platformSeptember 2026

Wizard Desktop native app in private beta

Wizard Desktop runs the dbt Wizard engine in a native app with rendered tables and charts, inline diffs, and parallel chats. It is in private beta with a waitlist for the download link.

BetaSource

dbt platformSeptember 2026

ClickHouse connections for dbt v2.0 on the dbt platform in private beta

ClickHouse Cloud can be connected on a dbt v2 release track using username and password over HTTPS. ClickHouse is also in beta for local use.

BetaSource

Also shipped on Sep 15, 2026

Snowflake SnowflakeSep 15, 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.

GASource

Snowflake Snowflake Horizon CatalogSep 15, 2026

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.

PreviewGovernanceObservabilitySource

Snowflake Snowflake Cortex AISep 15, 2026

Embedding Streamlit in Snowflake apps in external pages (General availability)

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GAVector searchStreamingGovernanceSource

Snowflake SnowflakeSep 15, 2026

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.

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Databricks Databricks AppsSep 15, 2026

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 .

GASource

Databricks Unity CatalogSep 15, 2026

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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