

LeanIX and erwin Data Modeler are well-established in the enterprise architecture and data modeling categories, with LeanIX noted for its integration and reporting strengths, and erwin for its data visualization and modeling. LeanIX's integration versatility and reporting capabilities give it a slight edge in user satisfaction and flexibility.
Features: LeanIX offers exceptional reporting capabilities with extensive JavaScript support, seamless integration with platforms such as ServiceNow and Technopedia, and flexibility that fits both technical and non-technical users. Erwin Data Modeler is valued for its robust data visualization and modeling capabilities, offering comprehensive visualization of data relationships and extensive data manipulation tools. It is particularly suitable for handling large data models with significant customization options.
Room for Improvement: LeanIX could improve by reducing integration costs and expanding its diagramming capabilities. Enhancing its API documentation and advanced customization support are also suggested. Erwin should focus on simplifying its user interface, reducing the complexity associated with licensing and costing, and improving integration capabilities with big data platforms.
Ease of Deployment and Customer Service: LeanIX offers both cloud and hybrid deployment options, accommodating diverse infrastructure needs yet struggles with slower customer service response times due to SAP constraints. Erwin shines in on-premises deployment through concurrent licensing but faces challenges with its support system, which can complicate resolving complex queries.
Pricing and ROI: LeanIX pricing, contingent on application counts, can rise as enterprises scale, yet it delivers fast ROI through application management optimization and licensing cost savings. Erwin, although perceived as expensive, provides flexible concurrency in licensing, benefiting large teams, and justifies its investment with superior data management tools despite higher initial costs.
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.
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Regarding scalability, erwin Data Modeler is performing well; from a few tables to 100 tables, it is working effectively so far.
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.
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
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 key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
One of the best aspects of the tool is its reverse engineering capability.
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 | 10.1% |
| erwin Data Modeler | 8.3% |
| Other | 81.6% |

| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 3 |
| Large Enterprise | 33 |
| 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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