Best Of

I've been using the updates to Magic ETL for a few months now and I'm a huge fan! Amazing job @AndreaHenderson and team 👏

DARK MODE !!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Sharing a preview of features coming to GA and Beta next week as part of our September Release.

Be sure to join our beta program to get access to beta features!

—New Features / Feature Enhancements—

Magic ETL Enhancements - Observability

Output row preview

View real-time row counts directly on the canvas as data transforms from tile to tile, letting you pinpoint data quality issues faster

DataFlow Versioning

Inspect prior iterations and logic across historical DataFlow versions allowing you to reference past configurations and audit pipeline changes side-by-side.

Execution details heatmap

Spot resource-heavy actions instantly with visual performance heatmaps paired with targeted telemetry metrics to isolate bottlenecks or row-drop anomalies.

User settings persistence

Eliminate repetitive setup by automatically saving custom canvas preferences and layout configurations across your DataFlows and open them with preferred specifications every time.

MagicETL Enhancements – Customizable Canvas

The new customizable canvas features in Magic ETL let you tailor layouts, navigation, and visual themes to build and manage complex data flows faster and with less visual friction.

Canvas Navigation Controls

Effortlessly pan, zoom, and inspect complex ETL workflows with greater precision using new click-to-drag and scroll-to-zoom canvas controls and a familiar, map-style navigation experience.

Custom Window Layouts

Tailor your design canvas to your preference by moving, resizing, or pinning individual tool panels to help you eliminate visual clutter and build data pipelines faster.

Dark Mode

Reduce eye strain during extended build sessions by switching your canvas interface to a high-contrast dark theme.

MagicETL – Tile Enhancements

Transform and process data faster with purpose-built tiles. The latest tile enhancements in Magic ETL expand your pipeline capabilities with native AI modeling, flexible SQL outputs, and simplified column management to help you automate complex logic directly on the canvas.

New AI Sentiment Analysis Tile

Automatically analyze customer feedback, survey responses, and support tickets to detect emotional tone directly within your data pipelines to instantly score sentiment without writing code or calling external APIs.

New AI Classification Tile

Automatically categorize unstructured text fields into standardized tags or predefined custom categories, eliminating manual data sorting and tagging tasks to organize large text datasets at scale.

New Multi-statement SQL Tile

Write custom SQL logic that processes multiple input DataSets and generates multiple distinct output streams eliminating the need for chained tiles or redundant data passes, reducing execution time and canvas complexity.

Convert tiles to SQL

Convert any standard Magic ETL tile or series of configured tile actions directly into a readable SQL script with a single click for full visibility into generated query logic.

Update to Select Columns tile

Streamline dataset schema management with an upgraded interface allowing you to easily search, select, deselect, or modify multiple column metadata attributes at once.

AI Chat Updates

Multiple updates to AI Chat make it faster and more capable than ever.

• Gathering Context - Bring context directly into your chat with @ mentioning DataSets , Dashboards, Cards, Apps or Documents or drag and drop local files or images to analyze unstructured data
• Complex Multipart Questions – ask complex questions across multiple DataSets and Documents
• Let AI Chat Build Assets – Preview and deploy drafts directly from your conversation or let chat delegate to sub-agents across App Studio, MagicETL & Code Engine
• Custom chat - Admins can replace the default AI Chat with specialized custom assistants configured for specific apps or entire accounts.
• Workspace focus - AI Chat automatically aligns its context based on the specific workspace or page you are currently viewing
• Sustained conversations - Enjoy longer interactions that retain context, including previous tool calls, across many turns
• General Questions - Ask about general topics and get real answers
• DomoStats AI Operations Report - See a complete breakdown of every Domo AI Pro operation in a single report
• Knowledge Base Support - Ask Domo-specific questions to troubleshoot or find answers without leaving your active chat window

MCP Trigger

If a workflow is triggered by Claude, AI Chat, or an autonomous agent, you’ll see a clear, consistent audit trail in your Workflow Execution Details page enabling you to monitor, audit, and govern how AI interacts with core business processes.

Code Engine Package Management

Developers get real-time visibility into the reach and usage of each package, and secure capabilities for smart deletion of packages that are no longer used or referenced.

Improved versioning

Select, switch, or version your functions with far fewer clicks and the confidence that your existing parameter mappings will remain intact.

DataSet Query Task Updates

Save configurations and generate output parameters on zero-row results. This means your query no longer has to produce at least one row of data to save your progress.

Pvariable Support for Dashboards, App Studio & Embed

pVariable support allows business users and admins to easily drive dashboards, App Studio pages, and embeds using simple URL parameters on load.

Card Embed Enhancements

An improved embedded user interface and expanded customization to enable or disable features such as segments, quick filters, and variables, along with configuring parameters like background, scale and text color to match your brand.

—Beta Features—

Magic ETL: Unstructured data processing

The new Documents Input Tile brings native unstructured data processing to Magic ETL, enabling you to seamlessly ingest and combine file-based content directly into your data pipelines

Snowflake Semantic Views

Register existing Snowflake Semantic Views in Domo and query directly, taking advantage of the synced relationships, business definitions and metrics defined and governed in Snowflake.

AI Library w/ New MCP Toolkits

Domo MCP toolkits safely integrate AI assistants and agents into daily operations while maintaining strict platform security and governance, accessible whether you’re using external models or custom agents built in Domo via the AI library.

MCP Toolkits - Automation

Manage workflow lifecycles to create, validate, test-run, and deploy automated definitions and build and manage forms. Deploy Code Engine custom business logic, version unreleased code, and securely execute background functions. Coordinate approvals in Task Center, letting AI manage queues, review tasks, and monitor watchlists.

MCP Toolkits – Workspaces & Alerts

Allow agents to securely create and manage Workspaces as well as folders, alerts and subscriptions to safely offload administrative tasks without compromising security.

MCP Toolkits – Sandbox

Create, commit, promote, and delete repositories, as well as manage sharing of them with a new universal orchestration skill routing requests to the appropriate tool based on your intent.

Calculated Columns: Rule builder

Provides a visual and guided interface that allows users to create, edit, and manage conditional columns wherever calculated fields are created in Domo without writing DQL.

Cloud Integrations: Calendar upgrades (fiscal & internationalization)

Seamlessly apply your company’s unique fiscal calendar and regional settings directly at the integration level by registering an existing fiscal calendar table hosted on your Snowflake, Databricks, or BigQuery instance.

Activity Log Webhook

Stream platform audit events to external systems in real time for immediate security and compliance monitoring, allowing security teams to respond to issues immediately.

Enable export and import of JSON connector definitions

Share and reuse API configurations as JSON files instead of rebuilding them manually every time, automating the connection process and reducing manual overhead.

Hello everyone!

We're excited to announce that version 2.20.0 of the Domo Documentation Hub is now available! This release sharpens our DataSet sharing guidance, keeps connector documentation current with upstream API changes, and adds a fresh batch of microlearning videos. You can view these changes in our knowledge base at www.domo.com/docs.

🌟 What's New

📊 Clearer DataSet Sharing and Access Rights

The Share a DataSet article got a significant accuracy pass. The Access Rights table now correctly reflects that Editors can change dataset configurations, and that Can Share users can view all data in the dataset (subject to PDP policy). The article was also reformatted with corrected icons, links, and note styling so it's easier to scan. See the updated guidance on sharing a DataSet.

🔌 Connector Documentation Updates

• The Facebook Advanced Connector article now includes an important notice about Facebook metrics being deprecated on June 30, 2026, with a table mapping each deprecated metric to its replacement so customers can update datasets and reports ahead of the change. Read the full details in the Facebook Advanced Connector article.
• The Commission Junction Connector prerequisites were updated to reflect CJ's move from an API key to a Personal Access Token. See the current setup steps in the Commission Junction Connector article.
• The Neurio connector was repositioned alphabetically in the navigation between NetSuite and New Relic.

🎓 New Microlearning Videos

The Domo Video Library picked up a new set of microlearning videos this release, including a Managing DataFlows series (dataflow details, history, naming and tagging, scheduling and triggering, and sharing), SQL-based DataFlows using the SQL DataFlow interface, and consumption and distribution topics. Browse them all in the Domo Video Library.

🔗 API Reference Correction

The User API reference was updated to use the correct endpoint path, /api/identity/v1/users, in both the spec and the navigation.

🙏 Thank You

A heartfelt thank you to everyone who helped make this release possible. Your accuracy fixes, connector updates, and new training content keep the knowledge base trustworthy and genuinely useful.

If you have questions or feedback, please reach out — we're always happy to help!