No-code warehouse segment builder
Builds segments on BigQuery or Databricks warehouse data with a drag-and-drop filter builder, no SQL required.
Entries on this page are generated by AI from vendor sources. How AI is used
Using data in the customer's warehouse or lakehouse without copying it into the platform.
| Month | Changes |
|---|---|
| 2026-03 | 2 |
| 2026-04 | 4 |
| 2026-05 | 2 |
| 2026-06 | 2 |
| 2026-07 | 0 |
| 2026-08 | 0 |
| 2026-09 | 1 |
| 2026-10 | 2 |
Select a month to view the whole-record timeline. This clears timeline filters.
Platforms with at least one feature state classified in this capability (primary or secondary, minor updates included), in the site's fixed order. Select one to filter the timeline. Counts are not shown side by side: they reflect how finely each vendor documents, not how much it offers.
Filters apply to the timeline. The chart and platform totals describe the whole record. Selecting a chart month clears timeline filters to show that same whole-record scope.
Matches the Release Matrix evidence: latest state reached in the selected period, entries under review excluded, primary and secondary capabilities included.
No recorded changes match these filters.
Within each period: major updates as cards, then notable ones as rows; newest first in each group. Minor updates below.
Builds segments on BigQuery or Databricks warehouse data with a drag-and-drop filter builder, no SQL required.
Composable Audience Studio now tags its Snowflake queries with structured metadata, letting teams attribute warehouse costs and monitor usage per audience.
AI Studio connects to a Snowflake data warehouse via OAuth so an agent can query and visualize Snowflake data directly in chat.
AI Studio connects to a Databricks lakehouse via OAuth so an agent can explore and visualize Databricks data directly in chat.
Native Snowflake app to build audiences from Snowflake data using filters, SQL or Cortex natural language, and activate them without moving data.
Composable Audience Studio extends to Google BigQuery with the same zero-copy, federated segmentation and activation architecture used for Snowflake and Databricks.
CDI can trigger Canvases from warehouse or S3 data using zero-copy personalization, passing context fields without writing them to profiles.
Zero-copy segmentation and activation directly on Snowflake or Databricks data, without moving data out of the warehouse.
Moments API (renamed Context API in October 2026) integrates directly with CloudStream, letting apps retrieve real-time visitor data from cloud-warehouse-based segments.
A new source uses Google BigQuery as a query layer over Iceberg tables via the BigLake REST catalog.
New Databricks Workflow Operator lets Treasure Workflow submit and manage SQL and ETL processing directly on a customer's Databricks environment.
New Snowflake Workflow Operator lets Treasure Workflow run SQL directly on a customer's Snowflake warehouse for ETL and data prep steps.