No server to provision, no Windows client to install, no DBA to support the modeling tool itself. Teams in different geographies access the same models from any browser.
Two different eras of data modeling
2018
Ellie founded. Cloud-native from day one, AI powered since 2023. Conceptual modeling philosophy similar to Merise approach developed in France.
1989
SAP PowerDesigner, originally AMC*Designor is based on French modeling methodology Merise. Acquired by Sybase and later by SAP in 2014.
SaaS vs On-Premise
Ellie.ai is fully cloud based platform with real-time collaboration. PowerDesigner is a desktop installed client/server architecture.
Real-time collaboration with AI
Ellie.ai helps you:
Model key domains (e.g. Customer, Consent, Account, Transaction)
Link definitions and policies to entities/attributes
Maintain reviewable change history and ownership
Simplify deployments
No more desktop applications
Fast migration as ellie.ai provides import tooling for SAP PowerDesigner file formats (.pdm, .cdm, .ldm). Some organizations run a parallel period maintaining PowerDesigner for legacy physical model generation while migrating active modeling work to ellie.ai.
SAP PowerDesigner is being deprecated
Built for how modern data teams work
Zero infrastructure overhead
Concurrent collaborative editing
Multiple architects work on the same model simultaneously, similar to Google Docs. PowerDesigner's checkout/lock model serializes access and creates bottlenecks in distributed teams.
AI modeling assistance
AI-assisted suggestions for entities, attributes, and relationships reduce modeling time on greenfield work. Available in the core product, not as an add-on.
Integrated business glossary
Business terms and technical model artifacts live in the same workspace. Data stewards and architects maintain one consistent definition, surfaced directly on entities and attributes.
Modern integration surface
REST API, webhooks, native dbt and GitHub connectors mean models can participate in automated data pipelines and documentation workflows without manual export steps.
Audit trail and compliance
Every model change is stored and managed. ISO27001 compliance provides assurance for regulated industries without additional tooling.
Migrating from SAP PowerDesigner
ellie.ai provides import tooling for SAP PowerDesigner export formats (.pdm, .cdm, .ldm). Most organizations run a parallel period — maintaining PowerDesigner for legacy physical model generation while migrating active modeling work to ellie.ai.
The REST API allows model metadata to be synchronized with downstream catalogs during transition.
The REST API allows model metadata to be synchronized with downstream catalogs during transition.
1
CDM / LDM / PDM
PowerDesigner formats supported for import. Ellie migration app allows you to read native PD file formats and convert them to ellie.ai models.
2
API and MCP Server
Models accessible via REST API or AI driven MCP Server during and after migration. Enable immediate access to business users and Agentic BI.
3
Painless and Validated
Run in parallel if needed. Migration can be lift and shift or run in parallel during model validation. Fast and simple with improved collaboration and governance.
Feature and Capability Comparison
Capability
ellie.ai, Cloud-native SaaS platform
SAP PowerDesigner, Client/Server Desktop
Deployment
Installation & infrastructure
Browser-based SaaS. No desktop client, no server provisioning, no DBA needed to run the tool itself.
Requires Windows workstation installation. Optional repository server (SAP ASE or Oracle) for team-sharing.
Governance
Version control & model history
Every save creates a versioned snapshot. Branches, diffs, and merge history are native, accessible from the browser.
Versioning requires the repository server component. File-based (local) mode has no version history.
Collaboration
Real-time multi-user editing
Multiple architects can edit the same model simultaneously. Presence indicators and conflict resolution are built in.
Repository objects are checked out and locked. Concurrent editing of the same object is not supported.
Modeling
Conceptual, logical, physical models
CDM, LDM, and PDM supported with automated propagation between levels. Models link to a shared glossary.
CDM, LDM, PDM supported. Considered the gold standard for comprehensive physical model generation across 60+ DBMS targets.
Modeling
Target database / DBMS support
Covers major modern platforms: Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, MySQL, SQL Server, dbt. Cloud-first focus. Additional 170+ source systems for reverse engineering
60+ DBMS targets including legacy systems (DB2, Sybase, Teradata, Informix). Industry depth unmatched for on-premise estates.
AI / Automation
AI-assisted modeling
AI-assisted entity suggestions, relationship inference, and data description generation are part of the core product.
No native AI modeling features in PowerDesigner itself. AI capabilities depend on SAP BTP or third-party integrations.
Governance
Business glossary & data dictionary
Business terms are linked directly to model entities and attributes. One source of truth for both business and technical definitions.
Enterprise Architecture and business vocabulary features exist but are managed as separate model types, not inline with physical models.
Governance
Data lineage & impact analysis
Cross-model impact analysis and lineage tracing within ellie.ai's model graph. Linkage to upstream/downstream systems is tracked.
Impact analysis available within the repository scope. Full enterprise lineage requires SAP Metadata Management or third-party tools.
Integration
API and integration ecosystem
Full REST API for CRUD operations on models. Native integrations with GitHub, GitLab, dbt, Confluence, and Slack.
Extensibility via VBScript macros and COM API. No native REST API. Integration with SAP Landscape Management available.
Security
Access control & SSO
Role-based access control, SAML 2.0 and OIDC SSO, SOC 2 Type II compliance. Granular model-level permissions.
Repository-based permissions, Windows AD integration. Access control tied to the repository server configuration.
Commercials
Pricing model
Per-user or workspace pricing. No perpetual license. Infrastructure costs are included. Transparent pricing tiers available.
Per-user or workspace pricing. No perpetual license. Infrastructure costs are included. Transparent pricing tiers available.
Commercials
Time to first model
Sign up, invite team, start modeling. No infrastructure provisioning required. Typical onboarding is measured in hours.
Procurement, server provisioning, Windows installation, and repository setup typically take 4–12 weeks in enterprise environments.
Frequently Asked Questions
What exactly is Ellie.ai?
Ellie.ai is a collaborative ai-powered full-stack data modeling tool. Think of it as "The Snowflake for Data Modeling." It provides a shared canvas where business experts define requirements and data architects build the technical blueprints (conceptual, logical, and physical models) in one unified environment.
Who is Ellie.ai for?
It is a bridge tool designed for three primary groups:
- For the CDO/CTO: It ensures data initiatives are tied to business value and provides a clear map of the enterprise data landscape.
- For Data Architects: It replaces manual, siloed tools with a modern, automated platform for building scalable data structures.
- For Business Leadership: It offers a non-tech-friendly way to define what they need from data without needing to know a single line of code.
Is Ellie.ai just another data catalog?
No. A Data Catalog tells you what you already have (the past).
Ellie.ai is a full-stack data modeling tool that helps you design what
you need in the future. Ellie sits upstream, allowing you to model
data products correctly before they are even built, which reduces
rework and ensures the final product actually meets business needs.
Why do we need this if we already have a modern data stack (Snowflake, dbt, etc.)?
Even the best tech stack can’t fix bad logic. Building data transformations
without a clear model is like building a house without a blueprint.
It leads to "semantic entropy" where different teams define "Customer"
or "Revenue" differently. Ellie ensures semantic alignment across your entire stack,
that remains consistent throughout the logical and physical layer, and eventually
sql that is traceable to the conceptual layer.
When is the right time to bring in Ellie.ai?
The best time is during high-stakes transitions, structuring, and organizing data chaos.
For example:
- Migrating from legacy systems to a modern cloud warehouse.
- Creating a federated governance environment
- Implementing a Data Mesh or Data Contract strategy.
- Launching a new Data Product that requires cross-functional alignment.
How does it integrate with our engineering workflow?
Ellie isn't a silo. It integrates natively with the tools your developers love:
- Upstream: Pulls metadata from 170+ systems via CData.
- Downstream: Pushes validated models directly to GitHub, Azure DevOps, and dbt.
- Governance: Syncs with enterprise catalogs like Collibra or Microsoft Purview to ensure your definitions are consistent everywhere.
