Ellie.AI
Ellie.ai is a collaborative data modeling and strategy platform that helps teams design, visualize, and manage data pipelines for analytics and decision-making.
Ellie.ai is a collaborative data modeling and strategy platform that helps teams design, visualize, and manage data pipelines for analytics and decision-making.
Ellie.ai is a collaborative, AI-assisted data modeling and product design platform that helps teams plan, visualize, and align data products with business goals. Unlike traditional data tools focused on technical schemas, Ellie enables cross-functional teams (including non-technical users) to define and manage data models through intuitive diagrams, workflows, and collaborative features. It bridges the gap between business users and data engineers by simplifying the data modeling lifecycle and reducing miscommunication.
Visual Data Modeling: Drag-and-drop UI to create logical data models without writing SQL or code.
AI-Powered Suggestions: Ellie uses AI to suggest improvements, detect redundancies, and align models with best practices.
Collaboration Tools: Built-in comments, discussions, and version control for real-time collaboration.
Glossary Management: Shared business vocabulary to ensure consistency across teams.
Data Product Design: Design and document how data products will work before building them.
Cloud-Based Access: Access Ellie from anywhere with web-based login.
Integrations: Connect with BI tools and data platforms (e.g., Snowflake, dbt, BigQuery).
Templates & Reusability: Use prebuilt templates or reuse parts of data models across projects.
Access Control: Role-based permissions for secure collaboration across teams.
Data Engineers
Product Managers
Business Analysts
Data Scientists
Enterprise Architects
BI & Analytics Teams
Startups & Data-Driven Companies
IT & Digital Transformation Teams
Collaborative data modeling between technical and non-technical teams
Designing data products before implementation
Creating a centralized business glossary for large organizations
Running workshops for data discovery and planning
Aligning business needs with data architecture
Ellie.ai offers custom pricing based on team size and requirements:
Free Trial: Available upon request (typically via a demo)
Team Plan: Suitable for SMBs with core features and limited collaborators (pricing on request)
Enterprise Plan: For large organizations with advanced security, integrations, and support
Custom Quotes: Available for educational institutions or consulting firms
Contact sales for detailed pricing at ellie.ai/contact
Vs. Lucidchart: Ellie offers a domain-specific environment for data modeling with glossary integration.
Vs. dbt: dbt focuses on transformations; Ellie is ideal for pre-build planning.
Vs. ER/Studio: ER/Studio is more technical; Ellie is better for collaborative, cross-functional modeling.
Vs. Collibra: Collibra handles governance and cataloging; Ellie focuses on design and alignment.
Vs. Miro: Miro is general-purpose; Ellie is purpose-built for data teams.
Designed for both technical and non-technical users
Encourages alignment across business and data teams
AI suggestions reduce modeling errors
Centralized glossary for organization-wide clarity
Flexible export and integration options
No open/free public version
Requires demo or sales contact to get started
Not meant for physical or code-based modeling
Smaller ecosystem compared to legacy tools
Ellie.ai is a modern solution for bridging the gap between data and business teams. Its visual-first, AI-enhanced approach to data modeling makes it ideal for organizations prioritizing collaboration and clarity in their data products. While it may not replace technical modeling tools, it excels at early-stage planning and aligning stakeholders. If you're tired of misaligned data initiatives or lost documentation, Ellie.ai brings the clarity and structure you need.
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