Process Manager workflow orchestration
In beta, Process Manager lets teams build and schedule workflows linking data ingestion, Query Service, segmentation, profile exports and destination activation.
Entries on this page are generated by AI from vendor sources. How AI is used
Building, scheduling and transforming data flows inside the platform.
| Month | Changes |
|---|---|
| 2026-01 | 1 |
| 2026-02 | 1 |
| 2026-03 | 2 |
| 2026-04 | 3 |
| 2026-05 | 1 |
| 2026-06 | 1 |
| 2026-07 | 1 |
| 2026-08 | 4 |
| 2026-09 | 8 |
| 2026-10 | 4 |
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.
In beta, Process Manager lets teams build and schedule workflows linking data ingestion, Query Service, segmentation, profile exports and destination activation.
Now Beta (27 Oct 2026). Current summary: In beta, Process Manager lets teams build and schedule workflows linking data ingestion, Query Service, segmentation, profile exports and destination activation.
Admins can describe the filter they want in plain language and Data Sync builds it automatically.
A Campaign Orchestration tab in the Experience Platform Monitoring dashboard tracks ingestion status and freshness of the relational data feeding orchestrated campaign audiences.
Now GA (28 Sep 2026). Current summary: A Campaign Orchestration tab in the Experience Platform Monitoring dashboard tracks ingestion status and freshness of the relational data feeding orchestrated campaign audiences.
Applies LLM-based processing to real-time events or customer data via a configurable prompt, trigger and input/output attributes, producing a new event for downstream use.
Lets teams write a SQL query against any warehouse table or view to create and edit Cloud Data Ingestion syncs, across Snowflake, Redshift, BigQuery, Databricks, and Fabric.
A no-code option to create Cloud Data Ingestion User Attributes syncs by mapping warehouse table columns to Braze fields, for simpler cases than the SQL editor.
Connector metadata attributes (connector name, action name, audience ID, event feed name) can now be mapped to vendor parameters without hardcoding.
Sync mappings can spread a JSON or object column so each key becomes its own destination field, on Marketo, Adobe Target and Google Sheets.
Workflow pools let administrators cap how many workflow attempts in a chosen group run concurrently, preventing one group from starving others.
Workflow Trigger automatically starts a downstream workflow attempt when an upstream workflow succeeds, replacing manual call/require dependencies.
Function transformations for cloud data sources in EventStream or CloudStream, for normalization, PII masking, enrichment and cleansing.
Array expansion fans out array-typed source columns into individual destination rows, enabling one-to-many syncs.
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.
Item collections add custom code-based expressions, variant aggregation methods, schema import/export, change review and configuration revert.