Domo Released Major Platform Update After Acquisition
The data platform firm introduced new AI tools and ETL workflow features following its recent sale to Progress Software.
Updated on Sept. 30, 2026 in Artificial Intelligence
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Domo launched a significant platform update on Wednesday, September 30, 2026, featuring enhanced AI Chat capabilities and redesigned Magic ETL workflows. The release arrives shortly after Progress Software completed its $400 million acquisition of the company.
Why it matters
This update integrates AI directly into data preparation workspaces to help teams more effectively build, monitor, and fix complex data pipelines. These changes respond to ongoing customer feedback regarding the need for more intuitive analytics and streamlined data governance.
The update introduces an AI-powered Sentiment Analysis Tile and a Classification Tile alongside heatmaps for tracking job runtime effects. It also adds versioning for read-only access to pipeline configurations and supports new Snowflake Semantic Views.
The players
Domo
A cloud-based platform company that provides data integration and business intelligence tools for enterprises.
Progress Software
An enterprise software provider that specializes in application development and infrastructure solutions.
Snowflake
A cloud-based data storage and analytics company that offers an integrated platform for data sharing and processing.
The details
The refreshed Magic ETL workspace features a redesigned canvas aimed at simplifying data preparation for technical teams. Additionally, the platform now enables better governance for conversational analytics by embedding AI tools directly into the ETL environment.
Timeline
Domo launched its initial version of Magic ETL in 2017.
The firm introduced a no-code iteration of the Magic ETL tool in 2021.
Capabilities were first unveiled during the company user conference in March 2026.
Progress Software finalized the acquisition of Domo in September 2026.
The latest platform update was officially launched on Wednesday, September 30, 2026.
The Tech Race
This release reflects the broader industry shift toward embedding generative AI directly into data orchestration workflows. By automating pipeline monitoring and analysis, the company is positioning its suite to compete with high-end, intelligent data automation platforms.
Users can now leverage AI-powered classification and sentiment analysis tiles to automate data insights without complex manual coding. The new versioning and heatmap features also offer developers a more transparent, manageable way to oversee pipeline health and security.
The takeaway
The integration of AI directly into the ETL workspace suggests that data management is becoming increasingly automated and conversational. Teams should prepare for more intuitive data preparation tasks as these AI tools become standard components of the enterprise analytics stack.
Further reading
Learn more about the latest innovations in Artificial Intelligence.
Source note: This article includes information reported by TechTarget.
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