SAP Data Hub vs erwin Data Modeler comparison

Quest Software and SAP are both solutions in the Data Governance category. Quest Software is ranked #14 with an average rating of 8.5, while SAP is ranked #30 with an average rating of 7.0. Quest Software holds a 0.0% mindshare in DG, compared to SAP’s 1.0% 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 40 erwin Data Modeler reviews

4,967 Views
0 Comparison Views

95% willing to recommend

SAP Data Hub

Read 3 SAP Data Hub reviews

1,083 Views
455 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 erwin Data Modeler and SAP Data Hub 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: September 2025).

Buyer's Guide

SAP Data Hub vs. erwin Data Modeler

September 2025

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Helped 869,566 peers since 2012

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

14th

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (3rd), Business Process Design (9th)

SAP Data Hub

Ranking in Data Governance

30th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (12th)

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of erwin Data Modeler is 0.0%. The mindshare of SAP Data Hub is 1.0%, down from 1.2% 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	0.0%
SAP Data Hub	1.0%
Other	99.0%

Data Governance

Featured Reviews

JorgeSanz

Data Governance Senior Advisor at Abu Dhabi National Oil Company

Streamline data modeling and automate network changes for increased efficiency

The initial setup depends on the tool if you are using the data model environment. Stopping the server could be complex and require strong expertise. If you have everything set up and configured, Erwin is straightforward. You can deploy it in a few hours. In our case, it took a couple of months to address internal conditions, assign machines, and set up everything for the services. I rate the initial setup a six out of ten, where one is difficult and ten is easy.

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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

"Quest can create conceptual and physical data models to facilitate effective communication between business and IT. It can also integrate expertise from various engineering and database systems within your organization to enhance data management and administration."

"What has been useful, I have been able to reverse engineer our existing data models to document explicitly referential integrity relationships, primary/foreign keys in the model, and create ERDs that are subject area-based which our clients can use when working with our databases. The reality is that our databases are not explicitly documented in the DDL with primary/foreign key relationships. You can't look at the DDL and explicitly understand the primary/foreign key relationships that exist between our tables, so the referential integrity is not easily understood. erwin has allowed me to explicitly document that and create ERDs. This has made it easier for our clients to consume our databases for their own purposes."

"The generation of DDL saved us having to write the steps by hand. You still had to go in and make some minor modifications to make it deployable to the database system. However, for the data lineage, it is very valuable for tracing our use of data, especially personal confidential data through different systems."

"The modeling portion of the tool is the most valuable. There are some notes, naming standards, and other functions that we use as well. There's a whole boatload of functionality in this thing and we use maybe 10% of it. It seems to be pretty common that not all the functionality is fully utilized. But it's just got gobs and gobs of stuff that you can implement if you so choose to."

"It has centralized storage so that a data model can be shared by different teams."

"There is absolutely no problem with the stability."

"I have worked with erwin Data Modeler for quite some time and familiarity is its most valuable feature."

"We had some data integration projects, where we needed to integrate it for about 100 databases. Doing that manually is crazy; we can't do that. With erwin, it was much easier to identify which tables and columns could be used for the integration. That means a lot in terms of time and effort as well as my image to the customer, because they can see that we are providing value in a very short time."

More erwin Data Modeler pros

"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."

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

Cons

"Complete Compare is set up only to compare properties that are of interest to us, but some of the differences cannot be brought over from one version of the model to another. This is despite the fact that we are clicking to bring objects from one place to another. Therefore, it's hard to tell at times if Complete Compare is working as intended without having to manually go into the details and check everything. If it could be redesigned to a degree where it is easier to use when we bring things over from one site to another and be sure that it's been done correctly, that would be nice to have. We would probably use the tool more often if the Complete Compare were easier to use."

"The report generation has room for improvement. I think it was version 8 where you had to use Crystal Reports, and it was so painful that the company I was with just stayed on version 7 until version 9 came out and they restored the data browser. That's better than it was, but it's still a little cumbersome. For example, you run it in erwin, then export it out to Excel, and then you have to do a lot of cosmetic modification. If you discover that you missed a column, then you would have to rerun the whole thing. Sometimes what you would do is just go ahead and fix it in the report, then you have to remember to go back and fix it in the model. Therefore, I think the report generation still could use some work."

"erwin is not as robust as a data warehousing project I've been on in the past."

"Sometimes when I want to open the attribute editor, it stops working and the whole application freezes."

"The navigation is a little bit of a challenge. It's painful. For example, if you've got a view open and you want to try to move from side to side, the standard today is being able to drag and drop left and right. You can't really do that in the model. Moving around the model is painful because it doesn't follow the Windows model today."

"In terms of new features, it would be great to have a cloud base. We should be able to put it on the cloud for better collaboration and data models sharing."

"I'd really like to see the PDF function become available. It would make my life much easier than what it is at the moment because whenever I need to collaborate with people that do not have erwin, I have to go through the wonkiness of going to Word and then save it from Word into PDF. There's a lot of differences between erwin 4.4 and 2020."

"I would like to see the ability to support more NoSQL platforms more quickly. In addition, enhancing the graphics to render more quickly would be beneficial for any user."

More erwin Data Modeler cons

"The company has everything offshore."

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

"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."

Pricing and Cost Advice

"The tool is expensive."

"Likewise, the solution is a little pricey."

"It is not a very expensive solution. Only the licensing and maintenance fee needs to be paid."

"An issue right now would be that erwin doesn't have a freely available browser (that I am aware of) for people who are not data modelers or data engineers that a consumer could use to look at the data models and play with it. This would not be to make any changes, but just to visually look at what exists. There are other products out there which do have end user browsers available and allow them to access data models via the data modeling tool."

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

"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."

"Pricing is very high compared to any other product."

"The price should be lower in order to be on the same level as its competitors."

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%

Manufacturing Company

Government

Computer Software Company

Manufacturing Company

17%

Financial Services Firm

14%

Government

11%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	3
Large Enterprise	29

No data available

Questions from the Community

What do you like most about erwin Data Modeler by Quest?

Forward engineering, DDL generation, reverse engineering, and reporting are the most valuable features of the solution.

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

I do not recall the pricing from about a year and a half ago, but it seems reasonable.

See all answers

What needs improvement with erwin Data Modeler by Quest?

erwin Data Modeler could improve its UI as it still feels old school and not very modern. There are many features, and I would expect good documentation detailing each feature, including when and h...

See all answers

What do you like most about SAP Data Hub?

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

See all answers

What needs improvement with SAP Data Hub?

We moved from Oracle. If you're aware of your monitoring system, the RPU market, and the managed system, you should move to HANA, which is an innovative database built by SAP itself. However, this ...

See all answers

What is your primary use case for SAP Data Hub?

I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on the retention periods. We have to move the data to some secure storage rather t...

See all answers

Comparisons

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Compared 39% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 18% of the time

Lucidchart vs erwin Data Modeler

Compared 12% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 6% of the time

Visio vs erwin Data Modeler

Compared 6% of the time

More erwin Data Modeler Competitors

Microsoft Purview Data Governance vs SAP Data Hub

Compared 31% of the time

Palantir Foundry vs SAP Data Hub

Compared 22% of the time

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

Compared 13% of the time

IBM InfoSphere DataStage vs SAP Data Hub

Compared 9% of the time

Oracle Data Integrator (ODI) vs SAP Data Hub

Compared 7% of the time

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Product Reports

Buyer's Guide

erwin Data Modeler

October 2025

Download erwin Data Modeler product report

Buyer's Guide

Data Governance

September 2025

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

September 2025

Free Report: SAP Data Hub vs. erwin Data Modeler

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