Domo now supports full enforcement of Personal Data Permissions within Magic ETL, enabling row-level security on governed datasets used in dataflows. This update allows teams to build and maintain transformations without granting excessive access, preserving existing security policies while broadening user participation in pipeline design.

The Magic ETL canvas has been redesigned with customizable panel layouts, workspace settings and a new dark mode option. Workflow enhancements include Disable Tiles to toggle transformation steps off, Run to Here to execute pipelines up to a selected step, and Row Count Observability for stage-level data metrics.

Domo previewed an AI Assistant for the JSON No Code connector, allowing natural language configuration of REST API connections. The platform also introduced Domo Documents to ingest and make searchable unstructured files from sources like Amazon S3, Google Drive, and SFTP servers, enabling extraction of structured information via a new Documents tile.

Disable Tiles and Run to Here features are generally available, while the redesigned canvas and Row Count Observability remain in beta. The AI Assistant for the JSON connector and additional AI-powered tiles are expected later this year, with five AI-ready connectors already released.