offdata ai — agentic AI for data modelers and data engineers

erwin alternative

The erwin alternative built for cloud data teams

Keep the discipline of a real data model and lose the desktop install. Import your erwin models, get an architect review on every change, and generate DDL, dbt, docs and an ontology for Snowflake, Databricks or BigQuery.

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migrate · from erwinsnowflake
$ upload  retail_orders.xml        # erwin → File → Save As → XML

imported   8 tables · 6 relationships · 3 subject areas
review     7 findings → fix list ready
target     snowflake

generated
  ddl/snowflake.sql          9 tables, FKs in dependency order
  dbt/                       models, sources, tests
  docs/data-dictionary.pdf
  ontology.ttl               9 concepts, 7 relations
  mcp                        ready for Claude and other agents

erwin Data Modeler and OffDataAI, side by side

erwin Data ModelerOffDataAI
Where it runsWindows desktop applicationIn the browser; nothing to install
Your existing models.erwin files and erwin MartImports erwin XML, with a health report
Starting a modelDraw it, or reverse-engineer a databaseDescribe it in plain English, start from 174 templates, import erwin XML or reverse-engineer a database
Working togetherModel repository server (erwin Mart)Share projects with viewers and editors; publish to GitHub, GitLab or Bitbucket
PricingQuoted per seatFree plan; paid plans from $29/month

Included with every OffDataAI model

  • Architect review on every build
  • DDL for 7 platforms
  • dbt project
  • Migrations between versions
  • Documentation and governance
  • Ontology served to AI agents over MCP

Have erwin models already? Run one through the free converter and see the health report and the converted model before you sign up.

erwin Data Modeler set the standard for enterprise data modeling, and many teams have years of work in it. But the way data teams build has moved to cloud warehouses, dbt, Git and now AI agents, and a desktop modeling tool sits outside most of that.

OffDataAI keeps what matters about a modeling tool, a governed, reviewable model, and puts it where the work happens: in the browser, connected to your warehouse and Git, generating the artifacts engineers actually ship, and publishing the business meaning AI agents need to write correct SQL.

Why teams move from erwin to OffDataAI

  • Bring your erwin models

    Import erwin XML with keys, relationships, subject areas and definitions intact, converted for your cloud platform.

  • Design from a description

    Describe the business in plain English and get a Kimball, Data Vault 2.0 or 3NF model, or start from 174 templates.

  • An architect review on every model

    Deterministic checks for keys, grain, history, undeclared joins and personal data, plus an AI critic, before anything ships.

  • Everything engineers ship

    DDL for seven platforms, a dbt project, migrations between versions, documentation and governance.

  • Built for teams

    Share projects with viewers and editors, keep version history, and publish models to GitHub, GitLab or Bitbucket.

  • Ready for AI agents

    Publish an ontology with resolvable IRIs and serve tables, join paths and metric definitions to Claude and other agents over MCP.

Frequently asked questions

Can I bring my existing erwin models?
Yes. Save the model from erwin Data Modeler as XML (File → Save As → XML) and import it. Entities, keys, relationships, subject areas, domains and definitions come across, types are converted for your platform, and the model gets a health report. You can try it without an account on the free erwin converter.
Is OffDataAI a full replacement for erwin?
For teams building on cloud warehouses, mostly yes: logical and physical models, ERDs, DDL, documentation, governance, versioning and collaboration are all there, plus dbt and an ontology. erwin still covers some things OffDataAI doesn't, such as many legacy on-premises DBMS targets and its wider data intelligence suite, so check the platforms you need.
Do I need to install anything?
No. OffDataAI runs in the browser. Sign in, import or describe a model, and work with your team on the same project.
How is AI used, and can I trust it?
AI drafts and refines models; it doesn't get the last word. Every model passes a deterministic architect review (keys, grain, history, joins, personal data), and a second model critiques the design before you see it. Ontology suggestions wait in a review queue until a person accepts them.
What does it cost?
There is a free plan, and paid plans start at $29 a month. Importing an erwin model and the converter's health report don't use AI credits.

Explore OffDataAI

Your data warehouse is one conversation away.

Describe your domain, or open one of 170+ production-grade templates. ERDs, DDL, and a complete dbt project — generated in under a minute.

Get startedTalk to usBrowse templates

erwin is a trademark of Quest Software Inc. OffDataAI is not affiliated with or endorsed by Quest Software. Comparison based on publicly available product information as of October 2026.