About Ellie.ai
Ellie.ai is a comprehensive cloud-based data modeling and governance platform designed to help organizations bridge the gap between business needs and technical data structures. It provides a collaborative environment where teams can create conceptual, logical, and physical data models. By focusing on the Data Product approach, it allows users to define the business meaning of data through a robust glossary before committing to technical implementation, ensuring that data architectures are built with a clear purpose and high quality.
The platform features AI-assisted modeling capabilities that streamline the creation of entities and relationships. Users can leverage autodraw and entity grouping to visualize complex schemas quickly. Version 9 introduces an MCP (Model Context Protocol) Server, allowing developers to connect Ellie models to agentic workflows in tools like Cursor.ai, Windsurf, and n8n. This integration enables dynamic interactions where AI agents can interact directly with the established data models to assist in coding, automation, and documentation tasks.
Targeted at data architects, engineers, and business analysts, Ellie.ai is particularly useful in enterprise settings where data governance is a priority. It integrates with major governance catalogs like Collibra and Microsoft Purview, as well as development tools like DBT and Azure DevOps (ADO). For large teams, the Enterprise edition offers hierarchical folders, role-based access control, and full version history with snapshots to maintain a single source of truth for the organization’s data assets.
What sets Ellie.ai apart is its commitment to data culture and business alignment. Unlike traditional modeling tools that focus purely on technical DDL generation, Ellie emphasizes the business glossary and metadata management as core components of the modeling process. Its ability to export to various formats—including PDF for business stakeholders and DDL for database engineers—makes it a versatile communication tool that supports the entire data lifecycle from initial concept to physical implementation.
Ellie.ai FAQs
What types of data models can I create in Ellie.ai?
Ellie.ai supports full-stack modeling, allowing users to build conceptual, logical, and physical models. You can also export these models as DDL for physical implementation or as images and PDFs for business documentation.
How does the AI-assisted modeling work?
Ellie uses AI to automate parts of the modeling process, such as generating entities and mapping source tracking. With the new MCP Server, you can also connect your models to agentic workflows in external AI tools.
Does Ellie.ai integrate with data governance tools?
Yes, the Enterprise plan offers integrations with popular data governance catalogs such as Collibra and Microsoft Purview. It also supports technical integrations with DBT and Azure DevOps repositories.
Can multiple people work on models together?
The Enterprise plan includes collaboration tools and role management, supporting modeler, contributor, and read-only profiles. This allows teams to manage hierarchical folders with specific security settings.
