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DataMind Universe

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DataMind OS vs Domo

Everything Domo does. On your servers.

DataMind OS covers what teams use Domo for, connecting data, preparing it, building dashboards, scheduling reports and asking AI about it, and adds a governed warehouse, tested SQL measures, Slides, AI Minds and Oda on top, in one OS on your own servers at one published company price.

01Verdict

The short answer.

DataMind OS covers everything teams use Domo for, and adds much more on top: a governed warehouse, tested SQL measures, Slides, AI Minds and Oda, in one OS on your own servers at one published company price.

Domo today. Cloud BI and data platform (connectors, drag-and-drop ETL, dashboards, apps and AI agents) delivered as SaaS on AWS, now owned by Progress Software.

  • On your servers.

    Installed on your own Linux servers in about 20 minutes, in any cloud or data center.

  • One OS, one login.

    Connectors, Lake, Warehouse, DataPrism BI, Slides and AI Minds share one set of access rules in the database.

  • Free builders and viewers.

    Report and dashboard builders, Mind builders, viewers and subscribers are free for an unlimited number of users.

02Side by side

DataMind OS and Domo, row by row.

14 topics. Every Domo fact cites a numbered source, checked October 2026.

DataMind OS compared with Domo, checked October 2026
Topic DataMind OS Domo
Where it runs On your own Linux servers (Ubuntu, Debian, RHEL, Rocky or Alma), physical or virtual, in any cloud account or data center, set up through a browser Installer. Your Lake, Warehouse, semantic models and reports stay on your servers, and every chart queries your own ClickHouse tables there. A cloud service on AWS, with Domo regions that include the US, Canada, EMEA (Ireland), Japan, Australia and, since October 2025, India. Workbench uploads data from on-premises systems behind your firewall into Domo, and Cloud Integrations query Snowflake, Databricks, BigQuery, Redshift and other warehouses in place.1, 2, 3, 4, 5, 6
Who builds it DataMind builds DataMind OS and ships a named release every month since 2026.01, installed from the browser in one click. The OS runs on your servers, so the lake, the warehouse and the reports stay yours. Progress Software completed its $400M purchase of substantially all of Domo's AI and data platform business on September 22, 2026, and is folding it into Progress' data platform offerings. The deal added more than 2,400 Domo customers.7, 8, 9
Pricing One published company plan, on the pricing page, with one Privileged seat included for integrations, the data warehouse and access permissions. DataMind meters no refreshes, dataflow runs, storage, queries or rows, and 85M Kartlos Premium and 850M Kartlos Standard tokens a month are included. Credit-based consumption with no published list prices. Credits are consumed per table created or updated by an ingestion job, per dataflow execution (more for custom Python), per 1M materialized rows a month when Domo manages storage, and fractionally per AI interaction. Third-party Vendr data puts the median contract at about $50,000 a year.10, 11, 12, 13, 14
Users and seats Everyone except Privileged users is free at any scale: report and dashboard builders, Mind builders, Oda users, viewers and subscribers. A company with 1,000 report builders and 10,000 viewers pays nothing for any of them. Unlimited users with no per-seat fees, since the credit model replaced Domo's earlier per-seat pricing. The number of cards, dashboards and apps does not change the bill.11, 12
Time to value The Installer sets up the whole OS on one Linux server in about 20 minutes on the recommended hardware, and every new installation seeds a demo semantic model and report. The two-month free trial runs on your own server, with no card and no feature limits. A 30-day free trial in Domo's cloud with full access, no credit card, guided onboarding and one training session. Domo says teams can connect any data and prepare it in minutes.10, 15
Connectors 22 built-in source types, from MSSQL, Oracle, Postgres and MySQL to Snowflake, BigQuery, Redshift, MongoDB, S3, Webhook, RabbitMQ and CSV, Parquet and Excel files, with Oracle 11g and SQL Server 2005 connecting as they are. Connect Any API's AI builds a connector for any REST, OData or GraphQL API from its docs, and the custom connector agent writes, tests and loads a Python connector for any quirk. No fee per connector. More than 1,000 pre-built connectors, on-premises connectors through Workbench (including plug-ins and OPC servers for industrial data), file upload, email attachment import and CSV SFTP connectors.5
Storage and queries Lake and Warehouse are ClickHouse tables on your server, columnar and ZSTD-compressed, each showing its real compression ratio. Every chart, export and subscription queries them live, with no extracts to schedule, and integers beyond 2^53 stay exact on screen. Domo-managed storage queried by its Adrenaline engine, or data left in your cloud warehouse through Cloud Integrations: read access for Snowflake, Databricks, BigQuery, Redshift, Athena, Azure SQL, Postgres, MySQL and others, plus writeback and pushdown for Snowflake, Databricks and BigQuery (pushdown in Beta on the last two).11, 5, 6
Data preparation A Warehouse of dimensions, facts, dictionaries and views with nine ready load patterns: DataMind writes the load SQL, the DDL and the partitions, every load checks duplicate keys, Test Run shows each change on real data before a table changes, and Store History adds SCD Type 2 as a switch. Workflows order themselves from the engine's query tree, wait on gates between workflows and retry up to 10 times. Magic ETL, a drag-and-drop dataflow builder whose formulas offer more than 200 functions, plus SQL DataFlows and Python in custom scripts and Jupyter Workspaces. Each dataflow execution consumes credits.11, 16, 17
Measures and calculations SQL measures in ClickHouse SQL, the language analysts and AI already write, with 130 ready recipes in the Measure builder, AI that writes a measure from a sentence and fixes one that fails, and up to 50 tests per measure run on live data. Renaming a measure rewrites every dependant safely in one transaction, and a calculated column is one line of SQL. Beast Mode calculated fields in DQL, Domo's SQL-style expression language, with a Beast Mode AI Assistant and a no-code Rule Builder for conditional columns.18, 19
Dashboards and reports DataPrism BI on governed semantic models: 15 visual types, Compare mode (2026 against 2025 in one tile), 3D Maps down to the building, bookmarks and stories. Report Builder AI builds a page from a description or a screenshot in minutes, custom interactive visuals you create with AI run on the VDK (Visual Development Kit), every visual streams its full result natively, even a billion rows as CSV or TSV, and every chart is an API. Cards and dashboards, a low-code app builder and pro-code apps, and embedded analytics in portals through Domo Everywhere.10, 12, 5
Delivery and alerts Email subscriptions up to 24 times a day as PDF, PowerPoint or Excel, each copy rendered under its recipient's row rules; print-ready PDF export; data alerts that email the rows past a threshold; wall displays that refresh themselves. Slides decks bind charts to live SQL and export to PowerPoint with native, editable charts. Scheduled reports, alerts and no-code Workflows, with AI agents that can act on data changes.10, 15
AI agents AI Minds answer business questions by writing and running SQL on governed tables, each step shown with its SQL and result, and Execute as User applies each person's own rows. More than 20 purpose-built agents build connectors, the lake, the warehouse, models, reports and decks under your approval, with Swarms, Benchmarks and scheduled tasks. An MCP server lets Claude Desktop ask your Minds, and Oda works on the Windows desktop, in VS Code and in Excel. Kartlos tokens are in the plan. AI Chat, Agent Catalyst and, since March 25, 2026, AI Agent Builder, AI Toolkits, an AI Library and the Domo MCP Server for Claude, Gemini and ChatGPT. DomoGPT runs Anthropic Claude models in Amazon Bedrock, or you bring your own model from OpenAI, Databricks or Bedrock. AI usage consumes credits.2, 20, 21, 22
AI data handling Zero data retention: DataMind's AI gateway routes only to zero-data-retention model endpoints and denies provider data collection. Columns marked as personal data reach the model as tokens while people see real values, PII Shield checks what people send to Minds on your servers, a Region setting routes AI chat to EU endpoints, and every AI request is logged in your own DataMind OS database. Domo stores agent requests and responses for conversation history, and some third-party models may keep conversation content for up to 30 days for abuse monitoring. With DomoGPT, data stays in Domo's AWS environment and is not used for training, and permissions and PDP apply before data reaches the model.23, 22
Governance and security Object, column and row rules on Lake and Warehouse tables compile into per-role database views, so they hold in reports, Minds, the SQL editor and outside tools such as Power BI. Semantic models add row-level security with View as. OpenID Connect sign-in with two-factor, write-only secrets encrypted with AES-256-GCM, a one-click permissions audit workbook, and request and AI audit logs in your own database. Personalized Data Permissions (PDP) for row policies and column masking, single sign-on, multi-factor authentication, IP restrictions and Bring Your Own Key encryption.24, 25

Checked . Sources at the foot of the page.

03Further

Where DataMind OS goes further.

All of it in the same plan, on the same servers, under the same rules.

  1. On your own servers

    Your Lake, Warehouse, semantic models and reports stay on Linux servers you control, in any cloud account or data center.

  2. Tested SQL measures

    SQL measures with 130 recipes, AI that writes and fixes them, and up to 50 tests per measure on live data.

  3. A warehouse that builds itself

    Deploy writes each table's DDL, partitions and sort key, nine load patterns write the load SQL, and Test Run shows every insert, update and delete on real data before a table changes.

  4. Slides

    Slides AI builds and edits decks whose charts, tables and text bind to live SQL, and decks export to PowerPoint with native, editable charts.

  5. AI Minds on governed tables

    Minds answer business questions by writing and running SQL on your own ClickHouse, every step shown with its SQL and result, and Execute as User applies each person's own rows.

  6. Native streaming download

    Every visual streams its whole result straight from ClickHouse, even a billion rows as CSV or TSV, and every chart is also an API in CSV, JSON or Parquet.

  7. Nothing metered

    DataMind meters no refreshes, dataflow runs, storage, queries or rows, and Kartlos tokens are in the plan.

04Switch

Switch from Domo.

The systems and warehouses behind Domo connect to DataMind OS on day one, so both run side by side while dataflows, calculations and dashboards move over page by page, and Domo keeps serving its users until the last page has moved.

  1. Day one

    Install DataMind OS on a Linux server in your data center or your own AWS, Azure or Google Cloud account in about 20 minutes. A demo semantic model and report are ready to explore, and the two-month free trial runs on your own server.

  2. The sources behind Domo

    The databases, files and APIs that feed Domo connect straight to the Lake: databases through the 22 built-in source types, files from uploads, SFTP or S3, and SaaS APIs through Connect Any API. Warehouses that Domo reads in place, such as Snowflake, BigQuery, Redshift, Athena, Azure SQL, Postgres and MySQL, connect as Lake sources as they are, and the Lake Builder Mind imports up to 1,000 tables at once under approval.

  3. Data that lives only in Domo

    Data exported from Domo as CSV loads as a file source, and Connect Any API can build a recipe for Domo's DataSet API, which signs in with OAuth client credentials.

  4. Magic ETL and Beast Modes

    Each dataflow becomes a Warehouse transformation or view in SQL: Generate SQL with AI helps write it in a diff and Test Run checks it on real data. Beast Modes become SQL measures and calculated columns that Model AI writes from plain language, with tests that pin the numbers your teams trust.

  5. Dashboards

    Report Builder AI rebuilds each dashboard page from its screenshot on your semantic model in minutes, Custom Visual AI rebuilds a bespoke tile from its picture, and a finished report travels as a .dataprism file.

  6. Permissions, schedules and AI

    PDP policies become row rules in the database and row-level security on the model, checked with View as. Scheduled reports become Email subscriptions under each recipient's rows, alerts become SQL data alerts, and AI Chat users move to Minds taught with training cards. A Consulting and delivery partner can run the program with your team.

Q and A

Questions, answered.

What teams ask before they move from Domo.

Is there an on-premises or self-hosted alternative to Domo?

Yes. DataMind OS installs on your own Linux server, physical or virtual, in your data center or your own AWS, Azure or Google Cloud account, in about 20 minutes. Connectors, Lake, Warehouse, DataPrism BI, Slides and AI Minds run there, and every chart queries your own ClickHouse tables live.

Domo is now part of Progress Software. Why look at DataMind OS?

Progress completed its purchase of Domo's AI and data platform business on September 22, 2026. If you are reviewing your stack after the deal, DataMind OS runs on your own servers, keeps the lake, the warehouse and the reports there, publishes one company price and ships a named release every month. The two-month free trial on your own server is the simplest way to compare on your data.

How does DataMind OS pricing compare with Domo credits?

Both let the whole company in: Domo has no per-seat fees, and in DataMind OS everyone except Privileged users is free. Domo meters credits for table updates, dataflow runs, Domo-managed storage and AI. DataMind OS has one published plan with one Privileged seat included, on the pricing page; it meters no refreshes, dataflow runs, storage, queries or rows, and includes 85M Kartlos Premium and 850M Kartlos Standard tokens a month.

What replaces Beast Mode calculations?

SQL measures and calculated columns in ClickHouse SQL. The Measure builder has 130 recipes, AI writes a measure or a column from a sentence and fixes one that fails, and each measure can carry up to 50 tests that run on live data. Renaming a measure rewrites every measure that depends on it in one transaction.

How do our Domo dashboards come over?

Page by page, from screenshots. Report Builder AI marks every element of the picture on a plan card and rebuilds the page on your semantic model in minutes, Model AI writes the missing measures in SQL, and Custom Visual AI rebuilds a bespoke tile from its picture. Domo can keep serving its users until the last page moves.

Does DataMind OS have AI agents like Domo's?

Yes. AI Minds answer business questions by writing and running SQL on governed tables, with every step shown; more than 20 purpose-built agents build connectors, the lake, the warehouse, semantic models, reports and decks under your approval; and an MCP server lets Claude Desktop ask your Minds. Kartlos Premium and Kartlos Standard tokens are in the plan.

Does the AI keep our data?

No. DataMind is zero data retention: its AI gateway routes only to zero-data-retention model endpoints and denies provider data collection. Columns marked as personal data reach the model as tokens, and every AI request is logged in your own DataMind OS database.

Try it beside Domo.

Two months, the whole OS, on your servers. Free.