

LeanIX and Erwin Data Modeler are prominent tools in the enterprise architecture and data modeling category. LeanIX seems to have the upper hand in user-friendly interfaces and integration capabilities, while Erwin stands out for its robust data modeling and engineering features.
Features: LeanIX offers customizable solutions for non-technical users, with outstanding reporting and tagging capabilities, integrations with tools like ServiceNow, and comprehensive application portfolio management. Erwin Data Modeler shines with features like versioning, data synchronization, detailed diagrams, and strong forward and reverse engineering abilities supporting comprehensive data modeling needs.
Room for Improvement: LeanIX could improve its diagramming capabilities and address connector costs and API customizations. Users note support issues and inflexible pricing as concerns. Erwin faces criticism on its interface usability and integration with big data platforms, with calls for better reporting and collaboration features, as well as enhancements in reverse engineering and cloud database support.
Ease of Deployment and Customer Service: LeanIX, being cloud-based, allows quick deployment with active customer support, though users face time zone challenges and slower SAP-related support responses. Erwin’s on-premises model offers stability, but longer deployment times, with potential for improved real-time assistance and customer engagement.
Pricing and ROI: LeanIX’s application-based pricing can be high for large organizations, though it offers significant ROI through optimized management and reporting. Flexible licensing supports strategic adjustments. Erwin is seen as expensive, but its comprehensive capabilities justify the expense, despite less competitive pricing in some markets. Both tools promise considerable ROI at different paces.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
In 24 months, after you've deployed the tool and you've got a lot of good validated data, you're probably looking at consolidating and saving your organization ongoing savings that is equatable to how much the tool would cost you on a yearly basis.
The ROI is seen more on the optimization side and the ability to map applications comprehensively rather than direct cost savings.
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Quest is committed to keeping the product robust.
Erwin Data Modeler requirements function at a standard level.
The support includes engagement from Technical Advisable Management, who helps us understand and utilize new product features effectively.
Sometimes the challenges with the first level that you actually speak to, they don't understand the problem.
For support, I'll probably give them a seven.
I would rate it probably a nine, making it a leader in data modeling.
Regarding scalability, erwin Data Modeler is performing well; from a few tables to 100 tables, it is working effectively so far.
Scalability in erwin Data Modeler is good as it connects with multiple databases to pull existing table structures.
I've never seen any issues with being able to scale up or scale down the capabilities of the solution at all.
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
We've had issues where we've had to go back to SAP and ask for help with issues that we've had with core capabilities that were supposed to be there but weren't working.
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.
They should implement their ticketing system natively within the application instead of relying on email.
A default framework would provide a base that organizations can quickly adopt and customize, reducing the time and effort spent on adoption.
The challenge with support was probably the response time.
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
It cost me $91,000 a year for 300 applications.
Our usage and costs depend on the number of applications, and as the number of applications grows, so does the cost.
One of the best aspects of the tool is its reverse engineering capability.
Currently in the market, there is no competitor to erwin Data Modeler; everything is very powerful, such as performing reverse engineering from an existing database and deploying that on Databricks or Snowflake.
My favorite feature of erwin Data Modeler is that we can export and import tables directly from the databases.
It ensures cost optimization by identifying duplicate applications and stopping unnecessary application onboarding.
Being able to do the lineage all the way through so that each one of those you can pull them out into their component parts to determine exactly which areas you need to resolve, fix, plan, or build a strategy around.
When you align it or map it to your business capabilities, this is how you identify duplication of technologies in your business.
| Product | Market Share (%) |
|---|---|
| LeanIX | 12.0% |
| erwin Data Modeler | 8.3% |
| Other | 79.7% |


| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 3 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 3 |
| Large Enterprise | 13 |
Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.
Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.
What are the key features of Erwin Data Modeler?Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.
SAP LeanIX provides enterprise architecture solutions that modernize IT and transform businesses, integrating AI-enriched, SaaS tools to enhance architecture visualization and evolution.
Embracing a comprehensive approach, SAP LeanIX supports organizations globally with tools that foster IT landscape optimization and forward-looking architecture creation. It offers solutions for real-time IT overviews, risk management, and architectural planning. These capabilities ensure that enterprises have the flexibility and insights needed to maximize their business impact and align their IT strategies with their organizational goals. SAP LeanIX is recognized for its ease of use, flexible reporting, and the ability to seamlessly integrate various data sources.
What features define SAP LeanIX?SAP LeanIX is implemented across industries to enhance enterprise architecture, application portfolio management, and business capability mapping. Its use extends into cloud governance, data flow analysis, and integration architecture, allowing multiple organizations to improve operational visibility and strategic planning. It also enables cataloging systems and app rationalization while linking capabilities for improved lifecycle management.
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