SAP Data Hub vs erwin Data Modeler comparison

Quest Software and SAP are both solutions in the Data Governance category. Quest Software is ranked #15 with an average rating of 8.4, while SAP is ranked #32. Quest Software holds a 0.3% mindshare in DG, compared to SAP’s 1.1% mindshare. Additionally, 95% of Quest Software users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

erwin Data Modeler

Read 46 erwin Data Modeler reviews

5,210 Views
156 Comparison Views

95% willing to recommend

SAP Data Hub

Read 3 SAP Data Hub reviews

1,165 Views
594 Comparison Views

66% willing to recommend

erwin Data Modeler

SAP Data Hub

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAP Data Hub and erwin Data Modeler based on real PeerSpot user reviews.

Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAP Data Hub vs. erwin Data Modeler Report (Updated: December 2025).

Buyer's Guide

SAP Data Hub vs. erwin Data Modeler

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

erwin Data Modeler

Ranking in Data Governance

15th

Average Rating

8.6

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (2nd), Business Process Design (8th)

SAP Data Hub

Ranking in Data Governance

32nd

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (15th)

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of erwin Data Modeler is 0.3%. The mindshare of SAP Data Hub is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
erwin Data Modeler	0.3%
SAP Data Hub	1.1%
Other	98.6%

Data Governance

Featured Reviews

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

Data modeling has transformed regulatory reporting and collaboration across cloud environments

In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.

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Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Any tool will do diagramming but I think the ability to put the stuff up in a graphical fashion, then think about it, and keep things consistent is what's valuable about it. It's too easy when you're using other methods to not have naming consistent standards and column consistent definitions, et cetera."

"The product lets us import different types of models from various databases."

"The most valuable features are being able to visualize the data in the diagrams and transform those diagrams into physical database deployments. These features help, specifically, to integrate the data. When the source data is accumulated and modeled, the target model is in erwin and it helps resolve the data integration patterns that are required to map the data to accommodate a model."

"They have a lot of features and the most up-to-date technology integration, which I haven't seen in other products."

"When you're getting down to the database level, where you're building a design and you're creating DDL out of it, or you're going in the other direction where you're reaching into system catalogs and bringing things back, that starts to really require specialization. Visio isn't going to reverse-engineer that for you. Those features in erwin are valuable."

"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."

"There is absolutely no problem with the stability."

"The principal feature that I liked is that the solution has a very graphic interface."

More erwin Data Modeler pros

"The most valuable feature is the S/4HANA 1909 On-Premise"

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

Cons

"This is a very complex product."

"The price should be reduced."

"I would like the solution to be less rigid in terms of its theory."

"As someone who has used it for a long time, I have seen stability vary from version to version."

"I would like the solution to be more user-friendly to deploy."

"One of the things I've been talking to the erwin team about through the years is that every data model should have the ability to be multi-language... When I was working at Honda, it became very difficult to work with the Japanese teams using just one model. You can have two models, one in English and one in Japanese, but that means you have to keep the updates back and forth, and that always increases the risk of something not being updated."

"Although Quest Software has made tremendous strides in recent years, they need to evolve more in the big data arena; erwin Data Modeler could use a little more work when it comes to big database designs."

"The solution's reporting side needs to be improved."

More erwin Data Modeler cons

"The company has everything offshore."

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

Pricing and Cost Advice

"Price-wise, erwin Data Modeler is okay. You can purchase a single license and it is not very expensive."

"Though the solution is not cheap, it's worth the money."

"The solution is expensive."

"erwin has this option where you pay a one-time fee and you have the license for six years, which makes sense because I don't upgrade my database engine every other year. I have an application that depends on it. This is something weird about PowerDesigner. There are no additional costs beyond the standard licensing fee."

"We've continued to use the product for many years and compared it with others on the market. The pricing is reasonable considering what the solution offers and what we pay. There are cheaper tools, but they may not be as robust and easy to use, so it's worth the money."

"There is either a one-year or three-year license. It is not a pay-as-you-go license like a SaaS solution. It’s more of a traditional licensing. They are a little bit on the pricier side."

"I don't specifically know what we're paying now. About three years ago, in another organization, I have this memory of 6,000 AUD a seat or something like that, but I am not sure. In the mid-2000s, it was something like 1,200 AUD a seat. I get the impression that there was a price jump when it was spun off from CA as a separate company, which is understandable, but it could sometimes be a barrier in some organizations picking it up. I haven't talked to erwin people yet, but I'm going to suggest to them that they could perhaps think of having an entry-level product that is priced a bit lower, and then, you can buy the extra suite."

"The tool is expensive."

More erwin Data Modeler pricing and cost advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Government

Manufacturing Company

Performing Arts

Manufacturing Company

19%

Financial Services Firm

13%

Government

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	3
Large Enterprise	34

No data available

Questions from the Community

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?

Regarding pricing, I am unsure what the exact price is for erwin Data Modeler, but I believe it is not useful for an individual. It is more targeted toward an enterprise level since organizations l...

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What needs improvement with erwin Data Modeler by Quest?

I write code and I write code accessing erwin Data Modeler's API, the Application Programming Interface, so that I can use Excel to update erwin Data Modeler and then get those updates and put them...

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What is your primary use case for erwin Data Modeler by Quest?

I work for CVS with a pretty big database as a data modeler on the PBMs, the Caremark PBM side, which is the Pharmacy Benefits Manager. There's a retail side too for all the stores, but our data wa...

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Comparisons

SAP PowerDesigner vs erwin Data Modeler

Compared 41% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 11% of the time

Lucidchart vs erwin Data Modeler

Compared 7% of the time

Visio vs erwin Data Modeler

Compared 5% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 4% of the time

More erwin Data Modeler Competitors

Microsoft Purview Data Governance vs SAP Data Hub

Compared 20% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub

Compared 15% of the time

Palantir Foundry vs SAP Data Hub

Compared 14% of the time

Collibra Platform vs SAP Data Hub

Compared 14% of the time

Oracle Data Integrator (ODI) vs SAP Data Hub

Compared 8% of the time

More SAP Data Hub Competitors

Product Reports

Buyer's Guide

erwin Data Modeler

January 2026

Download erwin Data Modeler product report

Buyer's Guide

Data Governance

January 2026

Download SAP Data Hub product report

Also Known As

erwin DM

No data available

Overview

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?

Visual Representation: Facilitates clear visualization of data models, aiding comprehension.
Versioning and Editing: Enhance usability with versioning and bulk editing capabilities.
Reverse Engineering: Offers powerful tools for reverse engineering and DDL generation.
Integration: Aligns with data intelligence to streamline database management.
Naming Standards: Enforces consistency with automated script creation.

What benefits should users consider in Erwin Data Modeler reviews?

Collaboration: Promotes team understanding and collaboration through visual tools.
Automation: Reduces manual effort through automated processes and integration.
Scalability: Handles large database management efficiently, crucial for enterprise settings.
Data Governance: Facilitates effective data governance with structured modeling.

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.

Quest Software

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

SAP

Sample Customers

Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples

Kaeser Kompressoren, HARTMANN

Buyer's Guide

SAP Data Hub vs. erwin Data Modeler

December 2025

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