Why DataMind

Solutions

Company

DataMind Universe

Free trial

The whole OS. Two months. Free.

Every app, on your own servers, with your own data.

  • Your data stays on your servers On your servers
  • Installed in about 20 minutes 20-minute install
  • No card, no feature limits No card

One quick check, then it sends.

Your request goes to our sales team. How we handle it (opens in a new tab)

Ask DataMind

DataMind:

Hello, Winner.

Tell me who you are and what slows you down. I will show you how DataMind OS fixes it.

This chat is not stored. Answers run on zero-data-retention model endpoints. Privacy

DataMind OS vs Microsoft Fabric

Everything Fabric does. On your servers.

DataMind OS covers what teams use Fabric for: ingesting, storing, modeling, transforming, orchestrating, governing and querying data, BI and AI agents, in one OS on your own servers at one company price, and adds much more on top.

01Verdict

The short answer.

DataMind OS covers everything teams use Microsoft Fabric for, and adds much more on top: measures in SQL instead of DAX, native Slides, lineage the engine writes and free builders and viewers at any scale, in one OS on your own servers at one company price.

Microsoft Fabric today. Microsoft's SaaS data and analytics platform in Azure: data integration, Spark, a T-SQL warehouse, real-time analytics and Power BI on one OneLake, billed through shared capacity.

  • 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 Microsoft Fabric, row by row.

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

DataMind OS compared with Microsoft Fabric, checked October 2026
Topic DataMind OS Microsoft Fabric
Deployment DataMind OS installs on your own x86_64 Linux server with Docker (Ubuntu, Debian, RHEL, Rocky or Alma), physical or virtual, in any cloud or data center, including a VM in your own Azure, AWS or Google Cloud account. The Lake, the Warehouse, queries, reports and both audit logs stay on that server. SaaS only, operated by Microsoft in Azure. You buy F capacity in an Azure subscription and pick an Azure public cloud region; some regions offer Power BI only. Microsoft documents no self-hosted or on-premises edition of Fabric, and on-premises sources are reached through the on-premises data gateway.1, 2, 3, 4
Pricing One company plan, with one Privileged seat included for the people who build integrations, the data warehouse and access permissions, priced on the pricing page. 85M Kartlos Premium and 850M Kartlos Standard tokens a month are in the plan. DataMind meters no compute, storage or queries; your own provider bills the server. Capacity units, F2 to F8192. East US list price is $0.18 per CU-hour pay-as-you-go: about $262.80 a month for F2 and $8,409.60 for F64 running all month, or about $5,002.67 a month for F64 on a 1-year reservation. OneLake storage ($0.026 per GB-month hot), overage at $0.54 per CU-hour and Power BI Pro licenses are extra. F0 and on-demand billing were announced in September 2026 without published prices.5, 6, 7, 8, 9
Who pays per user Report and dashboard builders, semantic model and Slides authors, Mind builders, Oda users, viewers and subscribers are free for an unlimited number of users: 1,000 report developers and 10,000 viewers cost nothing. The only seat with a price is the Privileged seat, and the plan includes one. Fabric workloads bill by capacity, but Power BI keeps per-user licenses: creating and sharing Power BI items needs Pro ($14 per user a month, paid yearly) or Premium Per User ($24). On capacities below F64, every Power BI viewer also needs Pro or PPU; from F64 up, free-license viewers can view.2, 7
Time to production The browser Installer sets up the whole OS on one Linux server in about 20 minutes on recommended hardware. Every new installation seeds a demo semantic model and report, so teams explore before a source is connected, and the two-month free trial runs the full OS on your own server with no card. Capacity is self-service and billed per second, and the trial gives 60 days on F64-equivalent capacity. Partner estimates for production: 8 to 16 weeks for a multi-domain MVP and 4 to 9 months for enterprise scale (Avantiico), or 16 to 26 weeks for an enterprise implementation (EPC Group).2, 10, 11, 12
Connectors and ingestion 22 built-in source types: MSSQL, Postgres, Oracle (11g included), MySQL, MariaDB, ClickHouse, Azure SQL Database with Microsoft Entra service principals, Redshift, Snowflake, BigQuery, Athena, MongoDB, Firestore, Firebase Realtime Database, S3, RabbitMQ, Webhook and CSV, TSV, JSON, Parquet and Excel files. Connect Any API has AI build a connector for any REST, OData or GraphQL API from its docs, and a connector agent writes and tests custom Python connectors. ClickHouse pulls from each source on your own server, with eight load patterns as a setting. Data Factory pipelines, Copy job (CDC and SCD Type 2) and Dataflow Gen2, with partner guides citing 140 to 200+ connectors. Mirroring replicates Azure SQL, Cosmos DB, Snowflake, Oracle, SAP Datasphere, BigQuery and more into OneLake, shortcuts give zero-copy access to ADLS and S3, and Eventstream covers Kafka, MQTT and CDC.13, 14, 15, 16, 17
Storage and SQL engine The Lake and the Warehouse live in ClickHouse on your server, columnar and ZSTD-compressed, with each table's real compression ratio on screen. Every chart, export and subscription queries current tables live, with no extracts to schedule. Each user gets a matching ClickHouse account, so DataGrip, DBeaver, Power BI and Excel connect under the same rules. OneLake is one logical lake per tenant on Azure Data Lake Storage, with tables in Delta Parquet or Apache Iceberg. A distributed T-SQL warehouse, Apache Spark, Eventhouse (KQL) and SQL database work on the same data. A paused capacity rejects OneLake transactions until it resumes.15, 18, 19
Transformation and orchestration SQL transformations with nine ready load patterns: DataMind writes the load SQL, the DDL, partitions and sort keys. History is a switch (SCD Type 2), every load checks duplicate keys before writing, and Test Run shows each insert, update and delete on real data. Workflows order themselves from dependencies, run independent steps in parallel, wait on other workflows through gates, retry up to 10 times on temporary errors and replay any run on a timeline. Dataflow Gen2 (Power Query M), Spark notebooks, T-SQL, materialized lake views and a native dbt job; Data Factory pipelines with schedules, dependencies and retry backoff; Apache Airflow jobs that trigger Fabric items; Activator for event-driven rules. AI functions are in preview.13, 14, 20, 21
Lineage Lineage the engine writes: saving a transformation, view or dictionary runs ClickHouse's EXPLAIN QUERY TREE and records every table it reads. The map runs from sources through Lake and Warehouse to Writeback, semantic models, Minds and Slides, filtered to what each viewer may see, and every table lists its dependants before a delete. Item-level lineage in the OneLake catalog. When Microsoft Purview scans Fabric, it captures only item-level lineage for Fabric items other than Power BI, and sub-item lineage for Lakehouse tables is not supported.22, 15
Access control Object, column and row rules live in the database: DataMind compiles them into per-role ClickHouse views, so the same limits hold in the SQL editor, DataPrism, Minds and external SQL and BI tools. Row rules are built visually or in SQL, semantic models add row-level security with View as, and columns tagged with one of 53 personal-data domains reach restricted roles and AI as tokens. Object-, row- and column-level security and dynamic data masking in the warehouse. OneLake security roles carry table, column and row rules across engines for Delta and virtualized Iceberg tables, but do not restrict workspace Admins, Members or Contributors. Sensitivity labels need an Azure Information Protection P1 or P2 license plus Pro or PPU.23, 24, 25
BI and dashboards DataPrism is in the plan: governed semantic models with SQL measures and calculated columns, 130 measure recipes, up to 50 tests per measure, 15 visual types plus custom interactive visuals you create with AI on the VDK (Visual Development Kit), bookmarks, compare mode and 3D Maps. Report Builder AI builds a page from a description or a screenshot in minutes, reports export to PDF and PPTX, subscriptions render under each recipient's rows, and every visual streams its full result, even a billion rows, as CSV or TSV. Power BI is built in, with Direct Lake on OneLake and Real-Time Dashboards. Measures and calculated columns are written in DAX. Power BI Desktop runs on Windows, creators need Pro, and below F64 viewers need Pro or PPU. Microsoft is a Leader in the 2026 Gartner Magic Quadrant for Analytics and BI Platforms.14, 26, 2, 27
AI assistants and agents More than 20 purpose-built AI agents share more than 250 tools. AI Minds answer questions by writing and running SQL on governed tables, every step shown with its SQL and result. Lake Builder and Warehouse Builder Minds do the data engineering in chat under approval, AI in SQL classifies, extracts and translates row by row, and Model AI, Report Builder AI, Custom Visual AI and Slides AI build models, reports, visuals and decks. Everyone asks Minds free. Copilot in each workload: GA in Power BI, Data Factory, SQL database and Real-Time Intelligence, preview in warehouse SQL and notebooks. Fabric data agents are listed as preview, the operations agent is GA, and Fabric IQ in Microsoft 365 Copilot went GA in September 2026. Copilot needs paid F2 or P1 capacity, not the trial, consumes capacity units and is not supported in sovereign clouds.21, 13, 28
AI data handling DataMind is zero data retention: model calls go through DataMind's AI gateway only to zero-data-retention endpoints, with provider data collection denied, and nothing a Mind sends is stored by DataMind or the model provider. Columns marked as personal data reach the model as tokens, PII Shield on your servers checks what people send, a Region setting routes AI chat to EU endpoints, and every AI request is logged in your own database. Azure OpenAI by default, or OpenAI as a Microsoft subprocessor if an admin opts in. Microsoft states customer data is not used for training and prompts are not retained for abuse monitoring. Processing stays in the capacity's geography unless an admin allows cross-geo processing; outside the US and EU, Copilot is off by default until that setting is on.29, 28
Presentations Native Slides: Slides AI builds and edits decks, Minds turn an analysis into a deck inside the chat, and charts, tables and text bind to live SQL and refresh on open. Decks export to PowerPoint with native, editable charts, .pptx files import as editable decks, and decks email on a schedule. The Power BI add-in for PowerPoint embeds live report pages in slides; AI-built decks come from Copilot in PowerPoint, part of Microsoft 365 Copilot.30
Identity and sign-in Single sign-on over OpenID Connect through a four-step wizard for Microsoft Entra ID, Google Workspace or any OIDC provider, with SSO-only login, an Admin password fallback and accounts created on first sign-in for allowed email domains. Authenticator-app two-factor is Optional or Required, and Oda, Oda in Excel and Claude Desktop sign in through the same company SSO. Fabric runs inside a Microsoft Entra tenant: Entra ID authenticates every request, and single sign-on, MFA and Conditional Access come from Entra.3, 2

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. SQL instead of DAX

    Measures and calculated columns are ClickHouse SQL, and SQL is the better language for both: 130 recipes in the Measure builder, AI that writes one from a sentence and up to 50 tests per measure on live data.

  2. Free builders and viewers

    No Pro or Premium Per User licenses to buy: report builders, Mind builders, Oda users, viewers and subscribers are free, and 1,000 report developers and 10,000 viewers cost nothing.

  3. 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.

  4. Lineage the engine writes

    Lineage comes from ClickHouse's own query tree, from sources through Lake and Warehouse to Writeback, semantic models, Minds and Slides, filtered to what each viewer may see.

  5. Native Slides

    Slides AI builds decks bound to live SQL, decks export to PowerPoint with native, editable charts, and .pptx files import as editable decks.

  6. Report Builder AI

    Rebuilds each Power BI page from its screenshot on your semantic model in minutes, and Model AI writes the measures in SQL from plain language.

  7. On your own servers

    Installed on a Linux server in your own Azure account or data center in about 20 minutes, with Microsoft Entra ID single sign-on through a guided wizard.

04Switch

Switch from Microsoft Fabric.

Move workload by workload: DataMind OS loads the sources Fabric reads on day one, the warehouse is rebuilt with Builder Minds, reports come over from screenshots, and Power BI keeps reading the same governed tables until the last page moves.

  1. Install and load

    Install DataMind OS on a Linux VM in your own Azure subscription or on your own servers in about 20 minutes. The systems that feed Fabric today connect as Lake sources on day one: Azure SQL Database (with a Microsoft Entra service principal), SQL Server, Postgres, Oracle, MySQL, Snowflake, BigQuery, Redshift, Athena, MongoDB, S3 buckets, SFTP drops and files. Snowflake and SQL sources also take your own query as a table, and Connect Any API or a custom connector brings in anything else, Fabric included.

  2. Rebuild the warehouse

    The Lake Builder Mind imports up to 1,000 tables at once and sets load patterns under approval. The Warehouse Builder Mind rebuilds dimensions and facts with your team in chat; existing T-SQL, Spark SQL or Power Query logic is rewritten in ClickHouse SQL as transformations and views, with Generate SQL with AI proposing each rewrite in a diff and Test Run checking it on real data before a table changes.

  3. Bring the reports

    Report Builder AI rebuilds each Power BI page from its screenshot on your semantic model in minutes, Model AI writes the measures and calculated columns in SQL from plain language, and Custom Visual AI rebuilds bespoke visuals from a picture. A finished report travels as a .dataprism file.

  4. Run in parallel

    While pages move, Power BI reads the same governed DataMind tables through Universe, live with Native DirectQuery or as an ODBC import of your own SQL, each person under their own roles and row rules. Workflows, alerts and subscriptions take over the schedule one by one.

  5. Sign-in and trial

    Microsoft Entra ID single sign-on connects through the SSO wizard, and the two-month free trial runs the whole move on your own server. A Consulting and delivery partner can run the program with your team.

Q and A

Questions, answered.

What teams ask before they move from Microsoft Fabric.

Is there an on-premises or self-hosted version of Microsoft Fabric?

Microsoft runs Fabric as SaaS in Azure and documents no self-hosted edition; its on-premises reporting product is Power BI Report Server. DataMind OS is the Intelligent Data OS you install on your own Linux servers, in any cloud or data center: connectors, Lake, Warehouse, workflows, lineage, DataPrism BI, Slides and AI Minds, set up in about 20 minutes.

Can DataMind OS run in our Azure subscription?

Yes. Install it on a Linux VM in your own Azure account, or on any other cloud or physical server you run, under your own control. Your users reach it in the browser on port 443.

How does DataMind OS pricing compare with Fabric capacity?

DataMind OS is one company plan, with one Privileged seat and 85M Kartlos Premium and 850M Kartlos Standard tokens a month included; the price is on the pricing page. Everyone else, builders and viewers alike, is free, and DataMind meters no compute, storage or queries. Fabric F64 lists at about $8,409.60 a month pay-as-you-go or $5,002.67 a month on a 1-year reservation in East US, before OneLake storage and Power BI Pro licenses. Model your own workload on both.

Does DataMind OS work with Microsoft Entra ID?

Yes. Entra ID single sign-on connects over OpenID Connect through a guided wizard, with SSO-only login and accounts created on first sign-in for your email domains. Azure SQL Database sources connect with a Microsoft Entra service principal.

Can we keep Power BI during the move?

Yes. The Universe page hands out a Power BI connection to the DataMind warehouse, live with Native DirectQuery or as an ODBC import of your own SQL, and each person signs in with their own account under the same roles and row rules. Meanwhile Report Builder AI rebuilds each page in DataPrism from its screenshot in minutes.

Where is AI processed, and is anything retained?

Kartlos requests go from your DataMind OS through DataMind's AI gateway only to zero-data-retention model endpoints, and nothing a Mind sends is stored by DataMind or the model provider. Columns marked as personal data reach the model as tokens, a Region setting routes AI chat to EU endpoints, and every AI request is logged in your own database.

How do we try DataMind OS beside Microsoft Fabric?

Start the two-month free trial: the whole OS on your own server, every app, no card. A new installation includes a demo semantic model and report, so your team explores before connecting a source.

05Sources

Where the facts come from.

Checked . Product names are trademarks of their owners.

  1. learn.microsoft.com/en-us/fabric/admin/region-availability
  2. learn.microsoft.com/en-us/fabric/enterprise/licenses
  3. learn.microsoft.com/en-us/fabric/security/security-overview
  4. learn.microsoft.com/en-us/fabric/data-factory/how-to-access-on-premises-data
  5. prices.azure.com/api/retail/prices?$filter=serviceName%20eq%20%27Microsoft%20Fabric%27%20and%20armRegionName%20eq%20%27eastus%27
  6. azure.microsoft.com/en-us/pricing/details/microsoft-fabric
  7. microsoft.com/en-us/power-platform/products/power-bi/pricing
  8. community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/build-deploy-and-govern-microsoft-fabric-at-scale/5369145
  9. smartbridge.com/microsoft-fabric-zero-provisioned-f0-capacity
  10. learn.microsoft.com/en-us/fabric/fundamentals/fabric-trial
  11. avantiico.com/microsoft-fabric-implementation-guide-for-business
  12. epcgroup.net/blog/microsoft-fabric-consulting-services-guide
  13. learn.microsoft.com/en-us/fabric/fundamentals/whats-new
  14. azure.microsoft.com/en-us/blog/fabcon-and-sqlcon-2026-unifying-databases-and-fabric-on-a-single-data-platform
  15. learn.microsoft.com/en-us/fabric/onelake/onelake-overview
  16. epcgroup.net/microsoft-fabric-enterprise-guide-2026
  17. medium.com/@kanerika/data-factory-in-microsoft-fabric-a-practical-guide-for-data-engineers-in-2026-0531d3b1ce11
  18. learn.microsoft.com/en-us/fabric/onelake/onelake-consumption
  19. learn.microsoft.com/en-us/fabric/data-warehouse/data-warehousing
  20. learn.microsoft.com/en-us/fabric/data-factory/apache-airflow-jobs-run-fabric-item-job
  21. learn.microsoft.com/en-us/fabric/fundamentals/copilot-ai-feature-state
  22. learn.microsoft.com/en-us/purview/data-map-lineage-fabric
  23. learn.microsoft.com/en-us/fabric/data-warehouse/security
  24. learn.microsoft.com/en-us/fabric/onelake/security/table-column-row-security
  25. learn.microsoft.com/en-us/fabric/enterprise/powerbi/service-security-enable-data-sensitivity-labels
  26. learn.microsoft.com/en-us/power-bi/fundamentals/desktop-get-the-desktop
  27. community.fabric.microsoft.com/blog/fbc_pbiupdatesblog/microsoft-named-a-leader-in-the-2026-gartner%C2%AE-magic-quadrant%E2%84%A2-for-analytics-and-/5262403
  28. learn.microsoft.com/en-us/power-bi/create-reports/copilot-introduction
  29. learn.microsoft.com/en-us/fabric/fundamentals/copilot-privacy-security
  30. learn.microsoft.com/en-us/power-bi/collaborate-share/office-integration/service-power-bi-powerpoint-add-in-about
  31. learn.microsoft.com/en-us/power-bi/report-server/get-started
  32. azure.microsoft.com/en-us/blog/fabcon-and-sqlcon-2026-in-barcelona-building-the-data-foundation-for-microsoft-copilot-and-agents

Try it beside Microsoft Fabric.

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