June 2025 changelog
Here you'll find the June 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.
27th June
MaiaNew features 🎉
Maia is now generally available in the Data Productivity Cloud.
- All Maia features in Designer, including support for both transformation and orchestration pipelines, multi-pipeline workflows, interactive tools, and natural language prompting, are now generally available (GA) in the Data Productivity Cloud.
26th June
DesignerImprovements 🔧
Components:
- Grid Variables are now supported in the Calculator component.
24th June
DesignerNew features 🎉
Git:
- You can now search your commit history by commit message, timestamp, author, and hash to stay informed about all changes made in your branch.
APINew Endpoints 🎉
- A new endpoint for an agent creation has been added to the Data Productivity Cloud REST API:
| Method | Endpoint | Description |
|---|---|---|
| POST | /v1/agents |
Creates a new agent using the specified configuration parameters. |
23rd June
DesignerNew features 🎉
- Added a new auto-complete feature to some component properties, which makes it easier to include variables and warehouse functions in various fields, such as Calculator expressions or Send Email messages.
19th June
MaiaNew features 🎉
Maia is now live in the Data Productivity Cloud.
Maia in Designer:
- Maia is your always-on workforce of virtual data engineers, enabled via natural language prompting. You can collaborate with Maia directly in Designer to deliver data faster and to automate repetitive tasks.
- Maia supports both transformation and orchestration pipelines. Support for orchestration pipelines is currently in public preview.
- Maia can build, run, and update data pipelines for you, all via your natural language prompts.
- Maia can advise you about designing optimal data pipelines in Designer. Maia can recommend next steps in your pipeline flow and even clarify any queries you have about your pipelines and the components therein.
- Maia can explore the cloud data warehouse that you have connected to the environment in your Data Productivity Cloud project, examining data structures and relationships to help you create the pipelines that lead to the most value.
- Maia will suggest actions, including version control operations such as committing your branch's current state and pushing those commits to your remote repository.
- Maia uses tools to perform tasks in your Designer workspace based on your prompts. These tools let Maia go beyond chat and perform real, interactive actions.
- Maia works across multiple pipelines.
Connectors:
- Maia can create custom connectors for you. Maia works with any API that has publicly viewable documentation pages (ideally static HTML) that list and define available endpoints, methods, and parameters.
Observability dashboard:
- Maia can perform root cause analysis on a failed pipeline and will suggest steps you can take to get your pipeline working again.
- Maia can detect anomalies in your scheduled pipeline runs, such as sudden spikes in execution time. Maia does this by analyzing past scheduled pipelines, and will provide visual indicators for significant behavioral deviations.
DesignerNew features 🎉
Components:
- Added a new Salesforce Load connector, which offers Incremental Load options.
DesignerImprovements 🔧
Components:
- The JDBC Table Metadata to Grid component now supports an additional authentication method when the database type is set to Snowflake. Users can now choose Key Pair Authentication.
Note
Key pair authentication is the recommended authentication method, as Snowflake plans to block single-factor password authentication by November 2025.
18th June
Data Productivity CloudNew features 🎉
Components:
- Added a new Oracle Unload from Snowflake component, which allows you to unload data from your Snowflake data warehouse to an Oracle database.
16th June
StreamingImprovements 🔧
- Updated the Streaming agent version from
2.111.64to2.111.76. - Library updates and security fixes.
- Oracle pipelines will now always include BLOB and CLOB data in change events emitted during the snapshot period, regardless of the
lob.enabledadvanced setting. - Fixed an issue where an Oracle connection could pass validation but fail to retrieve source information.
- Fixed an issue for SQL Server pipelines where the agent would incorrectly emit a snapshot error event during a snapshot.
11th June
DesignerNew features 🎉
Components:
- Create External Table is now available for Snowflake.
10th June
Data Productivity CloudNew features 🎉
- All automatic and export variables in Matillion ETL are now automatically migrated as system variables in the Data Productivity Cloud. For more information, read Migration: Export variables, and Migration: Automatic variables.
Components:
- Convert Type is now available for Amazon Redshift.
Data Productivity CloudImprovements 🔧
- New and improved filters on the pipeline runs of the pipeline observability dashboard. Users can now filter by Status, Project, and Environment.