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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
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DataMind OS vs Snowflake

Everything Snowflake does. On your servers.

DataMind OS covers what teams use Snowflake for, loading, storing, modeling, transforming, orchestrating, governing and querying data with SQL and AI, and adds BI, Slides, AI Minds and Oda on top, on your own servers at one company price.

01Verdict

The short answer.

DataMind OS covers everything teams use Snowflake for, and adds much more on top: DataPrism BI, Slides, AI Minds and Oda, in one OS on your own servers at one company price, with no credits to meter.

Snowflake today. Fully managed cloud data platform and SQL data warehouse, sold as SaaS on AWS, Microsoft Azure and Google Cloud.

  • 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 Snowflake, row by row.

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

DataMind OS compared with Snowflake, checked October 2026
Topic DataMind OS Snowflake
Where it runs On your own Linux servers, in any cloud or data center, physical or virtual. The browser Installer sets up DataMind OS in about 20 minutes on the recommended hardware, and your Lake, Warehouse, semantic models and reports stay on your servers. SaaS only, on Snowflake-operated infrastructure in AWS, Azure or Google Cloud, each account in one region. Snowflake's documentation states it cannot be installed on premises or on private cloud infrastructure. Virtual Private Snowflake, the most isolated edition, is still operated by Snowflake.1, 2, 3
Pricing One company plan with every app and one Privileged seat included, priced on the pricing page. DataMind meters no compute, storage, queries or bandwidth; your server is billed by your own provider. Consumption-based, on demand or prepaid capacity. On-demand Platform Credits in AWS US East cost $2 (Standard), $3 (Enterprise), $4 (Business Critical) and $6 (VPS); an X-Small warehouse uses 1 credit an hour, doubling with each size. Storage is $23 per TB a month on demand. AI features bill in separate AI Credits at $2.00 (global routing) or $2.20 (regional).4, 5
Who pays for seats Free for an unlimited number of users: report and dashboard builders, Mind builders, Oda users, viewers and subscribers. With 1,000 report developers and 10,000 viewers, not one of those seats costs anything. Only a Privileged seat (integrations, the data warehouse and access permissions) has a price, and the plan includes one. No per-seat fees; the edition sets the unit price of credits and storage, and every query, agent and AI call bills as credits.2, 5
Time to value About 20 minutes from a fresh Linux host to a running DataMind OS, with a demo semantic model and report ready to explore on day one. The two-month free trial runs the full OS on your own servers, on your own data. A trial account opens in minutes and lasts 30 days or until $400 of credits run out. A 2026 partner guide estimates about 8 to 16 weeks for a greenfield mid-size build.6, 7, 8
Connectors and ingestion 22 built-in source types: SQL Server, Postgres, Oracle, MySQL, MariaDB, ClickHouse, Snowflake, Redshift, BigQuery, Azure SQL, MongoDB, Firestore, Firebase Realtime Database, RabbitMQ, webhooks, S3, Athena, CSV, TSV, JSON, Parquet and Excel. Connect Any API has AI build a connector for any REST, OData or GraphQL API, and the custom connector agent writes and tests a Python connector for anything else. Eight Lake load patterns are settings, and there is no fee per connector or synced row. COPY INTO, Snowpipe, Snowpipe Streaming and the Kafka connector on every edition. Openflow lists 26 curated connectors, including CDC for PostgreSQL, MySQL, SQL Server, Oracle and MongoDB and SaaS sources such as Salesforce, Workday and HubSpot.2, 9
Storage and SQL engine Lake and Warehouse tables live in ClickHouse on your servers, columnar and ZSTD-compressed, with each table's real compression ratio shown. Every chart, export and subscription queries current tables live, with no extracts to schedule. Each user gets a matching database account, so DataGrip, DBeaver, Excel and Power BI connect under the same row and column rules. A fully managed MPP SQL engine with separate storage and compute; virtual warehouses suspend and resume automatically. Native tables use Snowflake's own compressed columnar format, Apache Iceberg tables can sit in your cloud storage, and multi-cluster warehouses need Enterprise Edition or higher.1, 2
Transformation and warehouse modeling A warehouse that builds itself: Deploy writes each table's DDL, partitions and sort key, nine load patterns generate the load SQL for facts and dimensions, and change history is a switch on a dimension. Generate SQL with AI proposes each change in a diff, every load checks duplicate keys before it writes, and Test Run shows every insert, update and delete on real data before a table changes. SQL and Snowflake Scripting, Dynamic Tables, Streams and Tasks, Snowpark in Python, Java or Scala, and dbt Projects on Snowflake.1, 10
Orchestration Workflows order themselves from the dependencies the engine reads in your SQL, run independent steps in parallel, wait on other workflows through gates and refuse circular dependencies. Restarts rerun only unfinished steps, up to 10 automatic retries handle temporary errors, and any run replays on a timeline. Failure alerts go to Email, Slack, Discord or Google Chat. Tasks for scheduled SQL, Streams for change tracking and Dynamic Tables that refresh to a target freshness, on every edition.1, 2
Governance and lineage Object, column and row rules compile into per-role database views, so the same limits hold in the SQL editor, DataPrism, Minds and external SQL tools, all in the one plan. Lineage writes itself from ClickHouse's own query tree, from sources through Lake and Warehouse to semantic models, Minds and Slides, filtered to what each viewer may see. One Audit button exports users, roles and effective permissions to Excel. Masking, row access, aggregation and projection policies, sensitive data classification and the ACCESS_HISTORY audit view all require Enterprise Edition or higher. Snowsight shows column-level lineage for most objects.2, 11
BI and the semantic layer DataPrism is in the plan: governed semantic models with measures and calculated columns written in SQL, 130 measure recipes, up to 50 tests per measure on live data, 15 visual types, bookmarks and row-level security. Report Builder AI builds a page from a description or a screenshot in minutes, and Custom Visual AI writes any other visual on the VDK, the Visual Development Kit. Legacy Snowsight dashboards were retired in 2026: creation stopped on April 20 and removal began on June 22, with migration paths to Streamlit apps, CoWork or third-party BI tools. Metrics live in semantic views, defined in SQL or YAML, and CoWork publishes dashboards to roles.12, 13, 14
AI agents More than 20 purpose-built AI agents share more than 250 tools across the OS. Minds answer business questions by writing and running SQL on your governed tables, each step shown as a card with its SQL and result, under the Mind's own column grants or as the asking user. Lake Builder and Warehouse Builder do the data engineering in chat under approval modes, and Model AI, Slides AI and Custom Visual AI build models, decks and visuals. CoWork for business users, the CoCo coding agent in Snowsight, a CLI, a desktop app and VS Code, Cortex Agents, and Cortex AI Functions in SQL. Agents answer through the semantic views that customers define.15, 16, 14
AI models and data handling Kartlos Premium and Kartlos Standard are built in, with 85M Premium and 850M Standard tokens a month in the plan, and admins can allow more models from a curated catalog. Every model and embedding call routes only to zero-data-retention endpoints, EU routing is one setting and the default for new companies, columns marked as personal data reach a model only as tokens, and the AI audit trail is stored in your own database. Models from OpenAI, Anthropic, Meta, Mistral AI and DeepSeek, billed in AI Credits. Cross-region inference is one account setting, and new accounts since March 9, 2026 default to any region; Snowflake states the payload is processed transiently and not stored in the processing region. Keeping inference regional costs $2.20 instead of $2.00 per AI Credit.1, 17, 5
Decks and delivery Slides is in the plan: Slides AI builds and edits decks, a Mind turns a chat into a deck, and charts, tables and text bind to live SQL. Decks export to PowerPoint with native, editable charts. Reports export to PDF and PowerPoint, email subscriptions deliver them under each recipient's own rows, and any visual streams its full result, even a billion rows, as CSV or TSV. CoWork document generation, GA on October 14, 2026, creates PDF, Word, PowerPoint and HTML files from a chat, with a .pptx template for branding. CoWork Automations rerun a question on a schedule and email the results.18, 19
Team to run it One OS to run, operated from the browser: the Installer and the admin screens handle service status, updates and container logs, memory limits are sized to the host automatically, and a named release arrives every month. Builder agents and connector wizards turn loading and modeling into settings, so SQL is the core skill. No infrastructure to operate. Customers still typically staff data and analytics engineers, a security admin for roles and policies, cost governance for Platform and AI Credits, and semantic-view authors so the agents answer correctly.20, 8

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. DataPrism BI

    Governed semantic models with SQL measures, 15 visual types and Report Builder AI, which rebuilds a dashboard page from its screenshot in minutes.

  2. Rules in the database, in one plan

    Object, column and row rules compile into per-role views, so they hold in the SQL editor, DataPrism, Minds and external tools, with no edition to upgrade.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

04Switch

Switch from Snowflake.

Snowflake connects as a Lake source on day one, so DataMind OS runs beside it, takes over modeling, BI and AI workload by workload, and Snowflake can keep feeding it for as long as you like.

  1. Day one

    Install DataMind OS on a Linux server in any cloud or data center, in the same cloud region as your Snowflake account if you like, in about 20 minutes. A demo semantic model and report are ready to explore, and the two-month free trial runs on your own servers.

  2. Snowflake as a source

    Snowflake connects as a Lake source with key-pair sign-in (the default) or a password, scoped by warehouse, role, database and schema. Your own SQL query loads as a custom Lake table, and declared foreign keys import as relationships on a Relationship Diagram.

  3. The systems behind Snowflake

    The databases and files that feed Snowflake connect straight to the Lake through the 22 built-in source types, and SaaS APIs come in through Connect Any API. Eight Lake load patterns, from incremental reloads to snapshots that keep history, are settings.

  4. dbt and pipelines

    dbt models become Warehouse transformations in ClickHouse SQL: Generate SQL with AI rewrites each one in a diff, Import from SQL builds the columns, and nine load patterns write the load SQL. Tasks and streams give way to Workflows that order themselves, with gates, retries and replay.

  5. Dashboards and models

    Each Sigma, Tableau, Power BI or Streamlit page comes over from its screenshot: Report Builder AI rebuilds it on a DataPrism semantic model in minutes, and Model AI writes your semantic-view metrics as SQL measures with tests.

  6. Agents

    CoWork and Cortex agents become Minds on the same governed tables, taught with training cards, each answer shown with its SQL.

  7. In parallel

    Snowflake keeps running and keeps loading into the Lake on schedule while workloads move. Power BI reports can read the DataMind tables live through Universe, with DirectQuery or an ODBC import, each person under their own roles and row rules.

Q and A

Questions, answered.

What teams ask before they move from Snowflake.

Can Snowflake run on premises?

Snowflake's documentation states it cannot be installed on premises or on private cloud infrastructure. DataMind OS installs on your own Linux servers, in any cloud or data center, in about 20 minutes, and covers loading, storing, modeling, transforming, orchestrating, governing and querying your data, with BI and AI agents in the same OS.

Can DataMind OS load data from Snowflake?

Yes. The Snowflake connector signs in with a key pair (the default) or a password, scopes access by warehouse, role, database and schema, loads your own SQL query as a custom table and imports declared foreign keys as relationships.

How does DataMind OS pricing compare with Snowflake pricing?

DataMind OS is one company plan, with every app, one Privileged seat and 85M Kartlos Premium and 850M Kartlos Standard tokens a month included, and DataMind meters no compute, storage or queries; the price is on the pricing page. Snowflake bills compute in credits, from $2 to $6 each on demand in AWS US East depending on edition, storage per TB, and AI in separate AI Credits.

Do we need a separate BI tool?

No. DataPrism is in the plan: governed semantic models with SQL measures and calculated columns, 15 visual types, PDF and PowerPoint exports, email subscriptions under each recipient's rows, and Report Builder AI that builds a page from a screenshot in minutes. Everyone who builds or reads reports is free.

Are row-level and column-level security included?

Yes, in the one plan. Object, column and row rules compile into per-role database views, so they hold in SQL, DataPrism, Minds and external tools alike. In Snowflake, masking and row access policies require Enterprise Edition or higher.

How do DataMind AI agents handle our data?

Every model call a Mind makes routes only to zero-data-retention endpoints, and the AI audit trail stays in your own database. The SQL itself runs on your own ClickHouse, under the Mind's own column grants or as the asking user, columns marked as personal data reach a model only as tokens, and EU routing is one setting. The plan includes 85M Kartlos Premium and 850M Kartlos Standard tokens a month.

How do we try DataMind OS beside Snowflake?

Start the two-month free trial and connect Snowflake as your first source the same day. The full DataMind OS runs on your own servers, installed in about 20 minutes, with a demo semantic model and report on day one.

05Sources

Where the facts come from.

Checked . Product names are trademarks of their owners.

  1. docs.snowflake.com/en/user-guide/intro-key-concepts
  2. docs.snowflake.com/en/user-guide/intro-editions
  3. docs.snowflake.com/en/user-guide/intro-regions
  4. snowflake.com/legal-files/CreditConsumptionTable.pdf
  5. docs.snowflake.com/en/user-guide/snowflake-cortex/pricing
  6. snowflake.com/en/snowflake-trial
  7. docs.snowflake.com/en/user-guide/admin-trial-account
  8. stxnext.com/blog/top-snowflake-implementation-partners
  9. docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors
  10. docs.snowflake.com/en/release-notes/2025/other/2025-11-06-dbt-projects-on-snowflake-ga
  11. docs.snowflake.com/en/user-guide/ui-snowsight-lineage
  12. docs.snowflake.com/en/release-notes/bcr-bundles/un-bundled/bcr-2260
  13. docs.snowflake.com/en/release-notes/bcr-bundles/un-bundled/bcr-agent-dashboard-data-access
  14. docs.snowflake.com/en/user-guide/views-semantic/overview
  15. docs.snowflake.com/en/user-guide/snowflake-cortex/snowflake-cowork
  16. snowflake.com/en/news/press-releases/snowflake-expands-snowflake-intelligence-and-cortex-code-to-power-the-control-plane-for-the-agentic-enterprise
  17. docs.snowflake.com/en/user-guide/snowflake-cortex/cross-region-inference
  18. docs.snowflake.com/en/release-notes/2026/other/2026-10-14-cowork-document-generation-ga
  19. docs.snowflake.com/en/release-notes/2026/other/2026-08-06-cowork-automations
  20. keyrus.com/us/en/insights/snowflake-coco-and-cowork-explained-capabilities-pricing-and-real-world-use-cases
  21. snowflake.com/en/pricing-options

Try it beside Snowflake.

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