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July 2025 changelog

Here you'll find the July 2025 changelog for the Data Productivity Cloud. Just want to read about new features? Read our New Features blog.

Note

Matillion has released a new navigation and Designer user experience, designed to make navigation more intuitive, streamline the pipeline creation workflow, and significantly improve performance across the Data Productivity Cloud. To find out more about the improvements made, read the New navigation and Designer experience announcement.


25th July

DesignerNew features 🎉

AI components:

  • A new Amazon OpenSearch Upsert component is now available. This component lets you upsert data converted into vector embeddings into an Amazon OpenSearch Service index using the Amazon OpenSearch Service API. Currently, this component only supports provisioned OpenSearch services, not serverless. Supported embedding providers include Amazon Bedrock and OpenAI.

APINew Endpoint 🎉

Method Endpoint Description
GET /v1/events Retrieves audit events in a given time range.

24th July

DesignerNew features 🎉

Connectors:

Added the following connectors, which offer Incremental Load:


22nd July

DesignerNew features 🎉

Metadata sampling:

  • You can now use the Metadata tab to view the name, data type, and size of each column in a component's output. For more information, read Metadata.

Connectors:

Added the following Flex connectors for developing data pipelines:


18th July

DesignerNew features 🎉

Components:

  • The X Ads Load component, which supersedes the X Ads component, is now available for Snowflake projects. This component lets you fetch data using the X Ads API.

11th July

DesignerNew features 🎉

Components:

  • The Intersect component is now available for Databricks projects. This component lets you compare two datasets, and then return any rows that are identical in both datasets.

8th July

DesignerNew features 🎉

Git actions:

  • When committing changes in Designer, you can now choose which files to include in each commit. For more information, read How to commit.

Data Productivity CloudNew features 🎉

Amazon Redshift environments:

  • When creating an Amazon Redshift environment, you can now choose whether to use the credentials associated with the agent you selected when creating your project, or to override these credentials by entering new credentials. For more information, read Specify cloud data warehouse credentials.

2nd July

DesignerNew features 🎉

Components:

  • Databricks Jobs Compute lets you run and/or schedule transformation pipelines using a Databricks Jobs Compute cluster.