Here you will find which new features have been added to with each new Stable track release. If you require a feature that isn’t available for your version, consider upgrading to the latest version. For more information on how to upgrade, read version tracks.Documentation Index
Fetch the complete documentation index at: https://docs.maia.ai/llms.txt
Use this file to discover all available pages before exploring further.
Connectors:
- Added a new Sybase ASE Load connector, which offers Full and Incremental Load options. We recommend using this connector instead of using the Database Query component to connect to Sybase ASE.
- Microsoft Exchange has been added as a new source to the Data Transfer component. This enables users to transfer attachments from Exchange email messages and calendar events using OAuth-based authentication.
- Added a new Column mapping parameter to Flex connectors and custom connectors. This parameter allows you to select fields from an unstructured dataset to load as individual columns. As a result, you don’t need to use an Extract Nested Data component to unpack data into columns.
- The Python Script component has been updated to use Python 3.12, ahead of the planned Python 3.10 end-of-life in October 2026. For further details, read this Tech note.
- New system variables for environment defaults have been added, allowing you to reference default connection values in your pipelines. These variables provide access to the default database, schema, warehouse, role, catalog, compute resource, S3 bucket, and application configured for the environment. For more information, read System variables.
- Changes to improve the frequency of Salesforce OAuth refreshes and detect JDBC connection timeouts.
- Changed the SQL Script component to address Snowflake “View Definition too large” errors.
Connectors:
- Added a new Oracle Load connector, which offers Full and Incremental load options.
- The Data Cleanse component is now available for transformation pipelines in Amazon Redshift and Snowflake projects. This component provides data profiling and cleansing capabilities to help you identify and resolve data quality issues in your datasets.
- The following Load components are now available for Databricks: AVRO Load, CSV Load, JSON Load, ORC Load, and Parquet Load.
Connectors:
- Added a new property to the Workday Load component. The new Advanced Mode Type property lets you choose whether to use an SQL query or SOAP operation to fetch your data.
- Added an Amazon Redshift Load connector for Snowflake projects. This connector offers Incremental Load and we recommend using it instead of the Database Query component to connect to Amazon Redshift.
Connectors:
- Added a new HubSpot Load connector, which uses the HubSpot API to retrieve your data. This connector offers Full and Incremental Load options.
- A new OAuth 2.0 Client Credentials option is now available in the Authentication type drop-down menu for the Salesforce Load connector.
- Hybrid SaaS s can now export logs to Matillion’s systems for support purposes. This facilitates faster response if support is needed. This feature can be enabled or disabled in the settings. For more information, read Export logs.