Full-Stack Data Modeling
Model Your Enterprise Before You Build It
Reverse-engineer 170+ systems, model conceptual, logical, and physical layers in one canvas, and give every AI agent metadata it can actually use.
One Platform, Every Layer of the Model
Ellie is where business and data teams build the enterprise data model together, from a first conceptual sketch to the physical DDL your warehouse runs, with AI-ready metadata built in from the start.
- Reverse-engineer 170+ systems automatically
- Model conceptual, logical, and physical in one canvas
- Push DDL or YAML straight to your pipeline
- Give every AI agent metadata it can actually use
Built for the data architects and modelers turning a Snowflake, Databricks, or Fabric migration into one documented model, not ten.
The Tooling Gap
Your Diagram Tool Stops Where the Real Work Starts
Most teams model with three disconnected tools: a diagram app for the ER sketch, a spreadsheet for the glossary, and nothing at all for AI context. Each handoff between them is a place the model drifts from what's real.
Diagrams that don't reach the database
A point ER tool gives you a picture, not a model your warehouse can use. Someone still has to hand-translate it into DDL.
Nobody owns the handoff
The diagram, the glossary, and the physical model drift the moment they cross from one tool (or one team) to the next. Build the pipeline on the wrong understanding, and you pay to build it twice.
AI has nowhere to look
None of those disconnected tools carry metadata an agent can query, so it answers fluently from whatever context it can find, which is often wrong.
How It Works
From Raw Systems to a Model You Can Trust
Reverse-engineer what you already have
Connect to any of 170+ source systems and let AI generate synthetic table and column descriptions. Skip weeks of manual documentation and start from a real model, not a blank canvas.
Model conceptual, logical, and physical in one canvas
Business and data teams build and agree on the model together, from entities to DDL, with no separate diagram, glossary, or physical-model tool.
Push it live, and keep AI honest
Generate DDL or YAML straight to Github, Gitlab, or Azure DevOps, with AI-specific metadata on every model that agents can query via API, MCP, or YAML.
What You Can Do
Every Layer, One Place to Work
Take a model from sketch to schema
Arrive at a physical model from your conceptual or logical design, link tables to glossary entities, and generate a SQL presentation of the model directly from the canvas.
Map your business, not just your tables
Organize models and entities into a folder structure by business domain: Finance, Operations, Technology, Supply Chain, each with its own dedicated glossary for tighter definitions.
Reverse-engineer any source, with AI doing the tedious part
Ingest tables from 170+ systems and public APIs, and let AI generate semantic names, descriptions, and logical attribute groups, on sample data for accuracy, or metadata-only for sensitive datasets. You stay in control of what AI sees.
Give your AI agents real context, not a guess
The Ellie MCP Server lets AI assistants like Claude Desktop, Cursor, or Windsurf interact directly with your models, not just talk about them. Ask it to explain a model, and it answers from the model itself.
What Practitioners Say
“Ellie is a foundational platform. It helped us onboard hundreds of tables and thousands of columns from Microsoft Fabric while maintaining business context, and it helps AI agents understand how your data is structured and build better data products with a real understanding of what lives where.”
Integrations & Open API
Connects to 160+ Business Data Solutions & Source Systems
Is Ellie the Right Fit?
- You're modeling an enterprise estate, not a single diagramEllie covers conceptual through physical, with a shared glossary across every domain.
- You need business and data teams to agree in one placeReal-time collaboration replaces the handoff between a diagram tool and a spreadsheet glossary.
- You're feeding AI agents and need them rightEvery model carries metadata your agents can query via API, MCP, or YAML.
- You just need a quick ER diagram for one projectA lightweight sketching tool gets you there faster for a single, throwaway diagram.
- Your team has no plan to connect the model to a real pipelineEllie's value compounds once DDL or YAML feed a live warehouse. It's overkill for a slide.
- You need runtime data governance, not modelingEllie feeds catalogs like Collibra and Purview; it isn't a replacement for them.
Questions About the Platform
Ellie connects to 170+ source systems and integrates with tools like Snowflake, Microsoft Fabric, Collibra, Purview, dbt, and Azure Active Directory, with open API access to build more.
Ellie is ISO 27001:2022 certified. AI features are opt-in, and Ellie never trains on or retains your customer data. Everything is encrypted in transit and at rest.
Solo starts at EUR49/month for a single user. Enterprise starts at EUR1,200/month billed annually and adds team collaboration, SSO, API access, and a dedicated Customer Success Manager. Talk to us for team pricing.
Enterprise plans include premium support, SLAs, and a dedicated Customer Success Manager.
Most diagram tools stop at a picture. Ellie covers conceptual through physical modeling, a shared business glossary, and AI-ready metadata on every model, in one canvas your whole team works in together.
Yes. Ellie defaults to OpenAI, but you can switch to Anthropic Claude, AWS Bedrock, Mistral, or Azure AI at the organization level.
Ellie supports admin, write, read, and contributor roles, plus SSO on Enterprise plans.
See Every Layer, Live
Connects to 170+ systems and 10,000+ models already in production. A 45-minute call with a data modeling expert, not a sales pitch.