DTL-SV110-XPFv4.1.0-PV910 Release Notes
Author: Nic Napoleone, Created: 2026-01-06
Release Date
December 30, 2025
Release Overview
New Features
-
Enabled Browser UX support.
-
Rebranded AI Data Manipulator (DMA) to AI Data Tools (DTL).
-
Added assignable access to the Application database.
-
Added support for uploading .csv files with a custom delimiter. Supported delimiters include:
- Comma ,
- Semicolon ;
- Tabs \t
- Pipes |
-
Added verification checks to ensure the setup user has assigned as least one group to have Security Modify Access before allowing the solution to launch.
-
Added protections to
sys-level database tables. -
Added row and data limits to querying.
- Notifications will appear in the Audit Log when these limits are hit.
Enhancements
- Improved error handling when accidentally selecting a Meta File System folder for DuckDB querying.
- Removed the ability to create folders from the File Explorer page.
- Removed the Edit button during scenarios where Editing of tables or files is not allowed.
- Improved UI spacing on the Query Composer page.
- Increased the Recent Queries count from 20 to 100.
- The query window will no longer clear when changing between connections of the same Datasource Type.
Bug Fixes
- Fixed an issue where folders and files within the Meta File System with the same name but different capitalization would overwrite one another in File Tree Views.
- Fixed an issue where files within the Meta File System larger than 2GB would prevent File Tree Views from rendering.
- Fixed an issue where Quick Actions and Snippets did not have brackets enveloping their schema and name values.
- Fixed an issue where closing dialogs could rerun queries unintentionally.
- Fixed an issue where values of type
BigIntegerwould yield and error and could not display.
Dependencies
XBR-SV210-XPFv4.1.0-PV910
Xperiflow v4.1.0
Known Issues
- Database tables with non-default schema do not yet have support for in-dialog alteration.
- Extremely large datasets or query responses may fail to load due to a “Stream was too long” error. In this case, consider breaking up your datasets into smaller chunks.
Upgrade Guide
Install Guide - AI Data Tools (DTL)