Author, govern, and forward-engineer logical, relational, dimensional, semantic, and graph models from a single platform — with AI-assisted design and full lineage across every layer.
Built for the modern stack
Why Data Modeler
Stop reinventing definitions in every tool. Author business meaning once, then forward-engineer to your warehouse, your semantic layer, and your knowledge graph — with full bidirectional lineage.
Logical, relational, dimensional, semantic, and graph — connected by lineage. Move from business concept to physical DDL to AI-ready knowledge graph without leaving the canvas.
Generate platform-correct DDL for 12+ databases. Reverse-engineer existing schemas — including Snowflake Semantic Views — into governable models in seconds.
An embedded AI copilot suggests entities, keys, and metrics from your business documents. Generate Neo4j knowledge graphs that feed agents grounded in your governed metadata.
Diff a logical model against a live warehouse, or a semantic layer against its source tables. Resolve drift with one click — propagate changes safely with audit-grade history.
Reusable domains, enforced naming conventions, dimensional template libraries — propagate standards to every model without copy-paste. Override per-object when you need to.
Live presence, conflict-free edits, and a WebSocket-backed canvas. Plus full undo/redo, 90-day trash, and MongoDB-backed versioning for every object.
Model types
Each model type is a first-class citizen with its own canvas, lifecycle, and forward-engineering target — but they all share the same governance, history, and AI fabric.
Platform-independent ER models. Entities, attributes, business keys, lookup keys, relationships. Engineered for 3NF rigor.
Normalized physical models targeted at any of 12 supported RDBMS platforms. Convert from a logical model with one click.
Kimball-style stars and constellations — facts, dimensions, bridges, junk, helper, outrigger. SCD strategies, conformed dimensions, fact types.
Governed business meaning: entities, dimensions, facts, metrics, verified queries. Compiles to Snowflake Semantic Views and OSI.
Property graphs derived from any source layer. Forward-engineered to Neo4j as the AI fabric for agents reasoning across your stack.
Every transformation between models — logical to physical, physical to semantic, semantic to graph — is recorded as a lineage link. Click any object on any canvas to see where it came from and where it’s used downstream.
Every model change can be committed back to your repository as platform-correct DDL or YAML. CI/CD-ready from day one.
Integrations
Twelve database platforms supported today, with platform-correct DDL generation and reverse engineering. Add a new platform without touching the modeling layer.
See full integration listBuilt for the enterprise
Multi-tenant architecture with strict organization boundaries. Role-based access control on every repository, workspace, and model. Full audit log on every change.
Encryption at rest and in transit, least-privilege IAM, separation of duties.
Okta, Entra ID, Google Workspace. Provisioning via SCIM on the Enterprise plan.
Every record is org-scoped. Data never crosses tenant boundaries — guaranteed at the API layer.
Every model change versioned and immutable. 90-day soft-delete recovery, full export.
Pricing
Start free for 14 days, no credit card required. Annual contracts save 15%.
Test-drive the full Professional feature set.
For solo data architects and consultants.
For data teams shipping production models.
Compliance, SSO, and scale for the whole org.
Prices in USD. Annual contracts paid up-front; monthly contracts billed each month. Taxes excluded.
Spin up a workspace, import your warehouse, and ship your first governed model in under an hour.