This article lists maintenance fixes and updates for supported DataForge versions.
DataForge Version 10.0
- February 19, 2026
- Prevented manual attribute recalculation from trying to run if attempted when there are no rules or no inputs with data
- Put in fix for converting to unity failures when data types don't match.
- Custom Refresh sources: if failed, you will need to
- Other Refresh type sources: if failed, conversion will continue but enr_ table will be left blank
- Fixed schema name reference for processing when db schema is customized
- Added fix for unity views being updated to point to different hub tables
- January 22, 2026
- Fixed CDC reset on legacy hive source with key and custom refresh from dropping hub table
- Fixed hive loopback using wrong catalog based on two part naming rather than three part naming select
- Fixed cleanup from deleting virtual output views when view_schema is defined
- January 21, 2026
- Fixed Unity conversion failing for custom refresh source
- Fixed hyperlink for source hub view name in source settings trying to open wrong schema
- Fixed virtual output from ignoring 'View database' parameter and writing to project schema name
- Fixed Convert to Unity from not working for sources that are established but have no data
- Fixed loopback from looking at the wrong schema
- Added auto-detect Java21 path and Max RAM during Agent MSI install
- Fixed Unity source from missing step in Refresh to create/update source hub view if it is changed
- January 8, 2026
- Update Deployment App for Snowflake
- Updated the deployment application to interact directly with Snowflake objects, ensuring upgrades and maintenance workflows run correctly in Snowflake-based environments.
- Update Terraform Scripts for SaaS
- Improved SaaS deployment configuration to support both Databricks and Snowflake by allowing the lakehouse platform to be explicitly selected and removing Databricks‑only assumptions.
- Snowflake Platform Support
- Added native Snowflake processing support so DataForge can operate consistently across Snowflake and Databricks environments.
- Add Snowflake Processing to Core Engine
- Extended the core processing engine to run Snowflake workloads using the same architectural patterns as existing Databricks deployments.
- Snowflake UI Updates
- Updated user interface terminology and workflows for Snowflake deployments, including renaming “Cluster” to “Compute” for improved clarity.
- Add Local Agent to Snowflake Environments
- Added support for running a local agent in Snowflake environments, including required networking, task services, and secure authentication setup.
- Deprecate Client/Environment Name Usage in Upgrade API
- Improved upgrade reliability by removing reliance on client or environment display names and instead using stable internal identifiers.
- Fix Missing Compute Header
- Resolved a UI issue where the Compute header was not displayed in certain views.
- Snowflake SDK Availability
- Made the DataForge SDK available through Snowpark, enabling easier development and execution of integrations directly within Snowflake.
- Optimize Hub Table Validation
- Improved hub table schema validation to be more accurate and resilient during processing.
- Improve Dependency Page Dark Mode Colors
- Enhanced contrast and readability for pagination and UI elements in dark mode on the Dependencies page.
- Improve Source Validation Errors
- Refined validation logic and error messaging to make source configuration issues easier to understand and resolve.
- Fix Deployment Permission Errors
- Resolved an issue where deployments could fail due to library allowlist and permission restrictions.
- Improve Snowflake Environment Provisioning
- Streamlined provisioning steps for Snowflake environments to improve reliability and reduce setup friction.
- Improve Upgrade Stability
- Addressed edge cases in upgrade workflows to reduce the risk of failed or partial upgrades.
- UI Performance Improvements
- Made general performance and responsiveness improvements across several UI pages.
- Improve Error Handling for Failed Tasks
- Enhanced error handling and reporting for failed tasks to make troubleshooting easier.
- Improve Metadata Consistency
- Improved consistency and accuracy of metadata generated during ingestion and processing.
- Improve Snowflake Job Execution
- Optimized Snowflake job execution behavior for better performance and reliability.
- Fix Dependency Refresh Issues
- Resolved an issue where dependency refreshes could fail or produce inconsistent results.
- Improve Logging for Deployments
- Added clearer logging around deployment steps to improve observability and debugging.
- Improve Validation for Configuration Changes
- Strengthened validation checks when applying configuration changes to reduce runtime errors.
- Fix Edge Cases in Upgrade Rollbacks
- Addressed rare edge cases that could prevent successful rollback during failed upgrades.
- General Stability and Bug Fixes
- Included additional minor fixes and stability improvements across the platform.
- Update Deployment App for Snowflake
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