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  • Your data stays on your servers On your servers
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DataMind OS vs Fivetran

Everything Fivetran does. And the stack it feeds.

DataMind OS covers what teams use Fivetran for, connecting databases, files, queues and APIs and loading them incrementally, and adds the Lake, the Warehouse, BI, Slides and AI Minds on top, in one OS on your own servers at one company price.

01Verdict

The short answer.

DataMind OS covers everything teams use Fivetran for, and adds much more on top: the Lake, the Warehouse, DataPrism BI, Slides and AI Minds, in one OS on your own servers at one company price, with no fee per connector, connection or synced row.

Fivetran today. Managed ELT and data movement service: connectors, transformations and reverse ETL that load data into a warehouse, database or lake the customer runs separately.

  • 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 Fivetran, row by row.

13 topics. Every Fivetran fact cites a numbered source, checked October 2026.

DataMind OS compared with Fivetran, checked October 2026
Topic DataMind OS Fivetran
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. Connectors, Lake, Warehouse, BI and AI Minds all run there, and built-in connectors load by having the database pull from each source on your server, with no separate ingestion server to run. SaaS by default: processing runs in Fivetran's cloud, on Google Cloud for Free and Standard, with AWS or Azure on Enterprise and Business Critical, across 12 geographies. Hybrid Deployment (Enterprise or Business Critical) runs pipelines in your network on Kubernetes or a Linux host with Docker or Podman, while Fivetran's cloud stays the control plane and receives metadata and logs. HVR 6 is a separate self-hosted product for database and file replication.1, 2, 3, 4
What it covers The whole data and AI stack in one OS of 29 apps under one login: Connect Anything, Lake, Warehouse, ETL/ELT, Workflows, Lineage, Reverse ETL, SQL Editor, DataPrism BI, Semantic Models, Slides, AI Minds, Oda and more. Data that lands in the Lake is modeled, reported on and asked about in the same OS. Data movement into a destination you run and pay for separately, such as Snowflake, BigQuery, Databricks, Redshift, a database or Fivetran's Managed Data Lake Service. Its plans price connections, transformations (dbt Core integration and Quickstart data models) and Activations, the reverse ETL product from Census. Fivetran and dbt Labs completed their merger on June 1, 2026.5, 6, 7
Pricing One published company plan, on the pricing page, with one Privileged seat included for integrations, the data warehouse and access permissions. No charge per connector, connection, synced row, query or gigabyte: DataMind OS runs on your server, so DataMind meters none of it. 85M Kartlos Premium and 850M Kartlos Standard tokens a month are included. Usage-based. Connections bill on monthly active rows (MAR), counted per connection, with a spend rate that falls as volume rises. Since January 1, 2026, standard connections with 1 to 1M MAR carry a minimum charge ($5 in Fivetran's Standard example) and deletes count toward paid MAR. Transformations bill per model run after 5,000 free a month, and Activations bill on MAR since February 1, 2026. Annual contracts get discounts from 5%.5, 8, 9
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 on the Standard plan. Custom roles come with Enterprise.5
Time to first data 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 Lake Builder Mind can then import up to 1,000 tables at once under your approval. The two-month free trial runs on your own server, with no card. Self-serve SaaS sign-up with a 14-day account trial, then 14 free days for each new connection. Hybrid Deployment adds an agent you size and run yourself: at least 2 vCPU and 2 GB RAM for the agent and 2 vCPU and 4 GB RAM per connection.5, 2
Built-in connectors 22 built-in source types: MSSQL, Postgres, ClickHouse, Oracle, MySQL, MariaDB, Snowflake, Amazon Redshift, Google BigQuery, Azure SQL Database, MongoDB, Firebase Firestore, Firebase Realtime Database, RabbitMQ, Webhook, Amazon S3, Amazon Athena, and CSV, TSV, JSON, Parquet and Excel files. Oracle 11g and SQL Server 2005 connect as they are, files up to 50 GB load from uploads, SFTP or S3-compatible buckets, and signed webhooks take vendor presets or a custom HMAC signature. 700+ fully managed connectors on the Standard plan, with the connector directory counting 750+ sources, in four types: Standard, Lite (niche SaaS apps, also built on request), Partner-built and Connector SDK. High-Volume Agent database connectors come with Enterprise.5, 10
Any other source Connect Any API: the AI reads your API docs or screenshots, probes the real endpoints and builds a recipe for any REST, OData or GraphQL API, which runs inside the database engine and calls only hosts you approved. ERP OData services load typed from their $metadata and by month, quarter or year. For any quirk, the custom connector agent writes, tests and loads a Python connector on the open-source Singer SDK. Connector SDK: Python code templates you write and deploy for custom sources, plus Lite connectors Fivetran builds on request.10, 11
Where the data lands In your own Lake and Warehouse: ClickHouse tables on your server, columnar and ZSTD-compressed, each showing its real compression ratio. Reports, Minds and decks query them live, with no extracts. Every user also gets a matching database account, so DataGrip, DBeaver, Power BI and Excel read the same tables under the same rules. In the destination you connect, where Fivetran creates and manages the base tables and pushes data in. In SaaS mode, customer data usually stays on Fivetran servers under 8 hours and is purged once written to the destination.3, 6
Load patterns and schedules Eight Lake load patterns as a setting: Full Reload, Incremental Reload, Incremental Reload Loop, Full Reload Upsert, Incremental Upsert, Full Snapshot, Incremental Snapshot and Onetime. Loads land in a temporary table and swap in atomically, Stop Sync restores a table as it was, and workflows schedule as often as every minute with up to 10 automatic retries. Sync Schema adds new columns only when you opt in and refuses a type change that would turn values into NULL. Fully managed connections that sync every 15 minutes on Standard and every minute on Enterprise. History mode keeps changed rows, and since 2026 its inserts and updates bill as MAR.5, 9
Transformation Warehouse transformations in SQL with nine ready load patterns, where DataMind writes the load SQL, the DDL, the partitions and the sort keys. Every load checks duplicate keys before writing, Test Run shows each insert, update and delete on real data in scratch tables, Store History adds SCD Type 2 as a switch, and Generate SQL with AI writes or changes a query in a diff you review. The run order builds itself from the engine's own query tree. Transformations with dbt Core integration on every paid plan and pre-built Quickstart data models, billed per successful model run. With the dbt Labs merger, Fivetran announced dbt Core v2.0 (alpha) and dbt Wizard (beta) for AI-assisted model authoring.5, 7
Reverse ETL Writeback, Reverse ETL on the launcher: rows from a Lake table, a Warehouse table or your own SQL go into MSSQL, Postgres, ClickHouse, Oracle, MySQL, MariaDB or BigQuery, or as JSON messages to a RabbitMQ exchange your ERP or CRM reads, by hand or on a schedule, with column mapping, a Sync Log and lineage beside their sources. Activations, the Census engine inside Fivetran since February 2026: 200+ fully managed activation destinations such as Salesforce and HubSpot, billed on MAR, with Audience Hub on Enterprise.5, 11, 12
AI More than 20 purpose-built AI agents share more than 250 tools across the OS. The Lake Builder Mind explores sources, imports tables, sets load patterns and builds workflows under your approval; the connector agents build API recipes and custom connectors; AI Minds answer business questions by writing and running SQL on governed tables, every step shown. An MCP server lets Claude Desktop ask your Minds, each person signed in. Context Layer (Limited Public Preview since September 2026) builds a context layer in your warehouse for AI agents, with an Agent Context MCP. Fivetran Skills (Private Preview) are open-source analytical packages for agents such as Claude Code and Codex. Fivetran also publishes an open-source fivetran-mcp server on GitHub that you run yourself.13, 14, 15, 16
Security and access Company sign-in through OpenID Connect (Microsoft Entra ID, Google Workspace or any OIDC provider) with authenticator two-factor and an SSO-only mode. Object, column and row rules compile into the database, so they hold in every tool. Connector secrets are write-only and encrypted with AES-256-GCM, columns can be tagged with 53 personal-data domains and tokenized, and the request and AI audit logs stay in your own database. Role-based access, custom roles on Enterprise, data blocking and column hashing, and customer-managed keys and private networking on Business Critical.5, 17, 18, 19

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. The Lake and the Warehouse included

    Data lands in ClickHouse tables on your own server, columnar and ZSTD-compressed, and reports, Minds and decks query them live.

  2. Connect Any API

    The AI reads your API docs, probes the real endpoints and builds a recipe for any REST, OData or GraphQL API, and the custom connector agent writes, tests and loads a Python connector for any quirk.

  3. Loads you can check

    Loads land in a temporary table and swap in atomically, Stop Sync restores a table as it was, and Test Run shows every change on real data.

  4. Writeback

    Rows from a Lake table, a Warehouse table or your own SQL go into MSSQL, Postgres, ClickHouse, Oracle, MySQL, MariaDB or BigQuery, or as JSON messages to RabbitMQ, on a schedule.

  5. DataPrism BI

    Governed semantic models with SQL measures, Report Builder AI and subscriptions, on the same Lake and Warehouse your connectors fill.

  6. The Lake Builder Mind

    Explores sources, imports up to 1,000 tables at once, sets load patterns and builds workflows under your approval.

  7. No row fees

    No charge per connector, connection, synced row, query or gigabyte, so adding sources or reloading history leaves the price where it is.

04Switch

Switch from Fivetran.

The warehouse Fivetran loads into connects as a Lake source on day one, so DataMind OS runs beside Fivetran while each connection moves to a direct DataMind source, and Fivetran keeps running until the last one has moved.

  1. Day one

    Install DataMind OS on a Linux server in your data center or your own 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. Fivetran's destination as a source

    The destination Fivetran fills today connects as a Lake source: Snowflake with key-pair sign-in, BigQuery with a service-account key, Redshift, Postgres, SQL Server, MySQL, Oracle, Azure SQL or ClickHouse. Snowflake and SQL sources also take your own query as a table, so the tables Fivetran already lands flow into the Lake from the first day. A Databricks destination comes in through Connect Any API or a custom connector.

  3. Sources, one connection at a time

    Point DataMind OS at the original systems: databases through the 22 built-in source types, Oracle 11g and SQL Server 2005 included; files from uploads, SFTP or S3; SaaS apps such as Salesforce or HubSpot through Connect Any API, built in a conversation from their API docs; anything with a quirk through the custom connector agent. The Lake Builder Mind imports up to 1,000 tables at once under approval, and Batch Edit sets load patterns for hundreds of tables in one grid. Retire each Fivetran connection once its DataMind table matches.

  4. dbt models

    Each model is rewritten as a Warehouse transformation or view in ClickHouse SQL: Generate SQL with AI helps rewrite it in a diff, Import from SQL builds the columns, and Test Run shows every insert, update and delete on real data before the table changes. The Warehouse Builder Mind can build facts and dimensions with your team in chat.

  5. Activations

    Syncs into operational databases or BigQuery move to Writeback, and systems that read a queue get JSON messages on a RabbitMQ exchange, each on its own schedule with column mapping and a Sync Log.

  6. Reports and AI on top

    Semantic models, DataPrism reports and AI Minds sit on the same Lake and Warehouse. Report Builder AI builds a dashboard page from a description or a screenshot in minutes, and Power BI, Excel and SQL tools read the same tables through Universe under each person's own rules while pages move. A Consulting and delivery partner can run the program with your team.

Q and A

Questions, answered.

What teams ask before they move from Fivetran.

Is there a self-hosted alternative to Fivetran?

Yes. DataMind OS installs on your own Linux server, in your data center or your own cloud account, in about 20 minutes through a browser Installer. It connects databases, files, queues and APIs, loads them into a Lake and Warehouse on that server, and adds BI, decks and AI Minds in the same OS, at one company price.

How does DataMind OS pricing compare with Fivetran's MAR pricing?

Fivetran bills connections on monthly active rows, counted per connection, and since January 1, 2026 small standard connections carry a minimum charge and deletes count toward paid MAR. DataMind OS has one company plan, published on the pricing page, with one Privileged seat included and no charge per connector, connection or synced row, so adding sources or reloading history leaves the price where it is. Everyone else is free.

Can DataMind OS connect to Salesforce, HubSpot and the other SaaS apps we sync with Fivetran?

Yes. Connect Any API builds the connector in a conversation: the AI reads the app's API docs or screenshots, probes the real endpoints and writes a recipe for its REST, OData or GraphQL API, and you import its streams as Lake tables. For a source with a quirk, the custom connector agent writes, tests and loads a Python connector on the open-source Singer SDK.

Can we keep Fivetran running while we move?

Yes. The warehouse or database Fivetran loads into, such as Snowflake, BigQuery, Redshift, Postgres or SQL Server, connects to DataMind OS as a Lake source on day one, so the tables Fivetran lands today flow into your Lake while you move connections over one at a time.

What replaces our dbt models?

Warehouse transformations in SQL. You pick one of nine load patterns and DataMind writes the load SQL, the DDL and the partitions; every load checks duplicate keys, Test Run shows each change on real data before it touches a table, and the run order builds itself from the engine's query tree. Generate SQL with AI helps rewrite each model in a diff you review.

Does DataMind OS do reverse ETL like Fivetran Activations?

Yes. Writeback sends rows from a Lake table, a Warehouse table or your own SQL into MSSQL, Postgres, ClickHouse, Oracle, MySQL, MariaDB or BigQuery, or as JSON messages to a RabbitMQ exchange your ERP or CRM reads, on a schedule with column mapping and a Sync Log.

How soon do we see our own data?

The install takes about 20 minutes on the recommended hardware, a demo model and report are ready on the first day, and the Lake Builder Mind can import up to 1,000 tables at once under your approval. The two-month free trial runs on your own server, with no card.

05Sources

Where the facts come from.

Checked . Product names are trademarks of their owners.

  1. fivetran.com/docs/deployment-models
  2. fivetran.com/docs/core-concepts/architecture/hybrid-deployment
  3. fivetran.com/docs/security-and-privacy/privacy
  4. fivetran.com/docs/hvr6
  5. fivetran.com/pricing
  6. fivetran.com/docs/destinations
  7. fivetran.com/press/fivetran-dbt-labs-complete-merger-to-create-the-data-infrastructure-for-trusted-ai-agents
  8. fivetran.com/docs/usage-based-pricing
  9. fivetran.com/docs/usage-based-pricing/pricing-updates/2026-pricing-updates
  10. fivetran.com/connectors
  11. fivetran.com/docs/changelog/2026/february-2026
  12. fivetran.com/docs/changelog/2026/october-2026
  13. fivetran.com/docs/context-layer
  14. fivetran.com/blog/announcing-fivetran-context-layer
  15. fivetran.com/docs/fivetran-skills
  16. github.com/fivetran/fivetran-mcp
  17. fivetran.com/security
  18. fivetran.com/docs/security
  19. fivetran.com/docs/core-concepts/features/data-blocking-column-hashing
  20. fivetran.com/press/fivetran-to-become-steward-of-the-great-expectations-open-source-community-and-gx-core-project
  21. fivetran.com

Try it beside Fivetran.

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