Domo Launched Platform Update With New AI Capabilities

The update integrates AI-driven analytics and refined workflow management following the recent acquisition by Progress Software.

Updated on Sept. 30, 2026 in Artificial Intelligence

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Domo has released a platform update integrating AI-driven analytics and refined workflow management, following its recent acquisition by Progress Software. AI Illustration. Upload story photo >

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Domo released a platform update featuring new AI Chat capabilities and an overhauled Magic ETL workspace. The release, which arrived shortly after the company's acquisition by Progress Software, includes advanced classification tools and new governance features for data pipelines.

Why it matters

This update reflects a push to streamline data preparation through tighter integration of generative AI within analytics workflows. It enables teams to build and monitor pipelines more intuitively while maintaining the governance required for enterprise data environments.

The update introduces an AI-powered Sentiment Analysis Tile and an AI-powered Classification Tile to automate data processing. Additionally, the Magic ETL workflow now features versioning for read-only access and heatmaps for identifying runtime effects.

The players

Domo

A cloud-based platform provider focusing on business intelligence, data integration, and embedded analytics.

Progress Software

A developer of application development, infrastructure, and data management software that recently acquired Domo.

Snowflake

A data warehousing and analytics company providing cloud-native infrastructure for data storage and processing.

The details

The Magic ETL—a drag-and-drop tool for preparing data—has been redesigned to include heatmaps that surface jobs experiencing specific runtime effects. New AI tiles automatically perform sentiment analysis and data classification, while the platform now supports Snowflake Semantic Views, which allow the system to interpret data models defined in Snowflake, a cloud-based data platform. These additions aim to simplify the process of fixing and monitoring data pipelines by moving AI functions directly into the workspace.

Timeline

  1. 2017: Domo initially launched its Magic ETL platform.

  2. 2021: The company introduced a no-code version of Magic ETL.

  3. March 2026: Domo first unveiled these capabilities at its user conference.

  4. September 2026: Progress Software completed the acquisition of Domo.

  5. Wednesday, September 30, 2026: Domo released the latest platform update.

The Tech Race

Domo is positioning its platform to support the Model Context Protocol to enhance how AI agents interact with external data environments. This move aligns with broader industry efforts to standardize AI access to proprietary business data models.

Users can immediately access the redesigned Magic ETL canvas and new AI tiles to automate data classification tasks. The update requires existing users to review their current pipeline configurations to leverage the new versioning and heatmap monitoring tools.

The takeaway

The acquisition by Progress Software has quickly funneled resources into Domo's AI development, marking a shift toward more automated data preparation. Monitor the future public release of the Model Context Protocol toolkits to determine how deep the platform's integration with third-party AI agents becomes.

What happens next

Domo plans to move its Model Context Protocol toolkits and support for Snowflake semantic models into public release in upcoming updates.

Further reading

For more on how enterprises are integrating machine learning into data workflows, visit Artificial Intelligence.

Source note: This article includes information reported by TechTarget.

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