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Data Hub vs SAP PowerDesigner comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 8, 2026

Review summaries and opinions

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

ROI

Sentiment score
2.9
Data Hub boosts efficiency via time savings and error reduction, but Atlan is quicker for specific tasks, with mixed ROI feedback.
Sentiment score
3.0
Users find SAP PowerDesigner cost-effective, enhancing efficiency and time savings, with some reporting a 43% return on investment.
Atlan has a better approach compared to Data Hub.
Data Quality Engineer at truelogic
Data Hub centralizes data cataloging and classification, saving us from having to disclose PII column information to teams not utilizing it.
Software Engineer L2 at a tech vendor with 1,001-5,000 employees
It is very helpful in building data quality for the company, leading to approximately thirty percent improvement in efficiency.
Finance Feedback Committee at MB Shinsei Finance Limited Liability Company
I cannot put a number on it, but if you think about developing software manually or using a tool to generate software and considering the license cost of SAP PowerDesigner, the ROI is pretty positive relatively quick because it's not that expensive.
Data Solution Consultant | Owner at a non-tech company with 1-10 employees
 

Customer Service

Sentiment score
3.8
Data Hub's customer service is responsive and helpful, with useful forums and webinars, though some report occasional setup challenges.
Sentiment score
5.9
SAP PowerDesigner support is valued for expertise but hindered by response delays and regional challenges, affecting overall satisfaction.
When I was working with Atlan, and needed support, they were very good at attending to my requests directly.
Data Quality Engineer at truelogic
Customer support for Data Hub is quite good.
Manager - Projects at Cognizant
Customer support for Data Hub is very genuine, and they are responsive and attentive.
Senior Software Engineer 2 at Porch
I rate SAP's technical support a 9 out of 10 due to their responsiveness and the quality of assistance provided.
Manager at Saama
It relies heavily on VBScript, which is something that will be end of life in a few years in Windows.
Data Solution Consultant | Owner at a non-tech company with 1-10 employees
Regarding technical support, after a recent licensing issue caused a temporary halt, we realized the importance of tracking licensing and version updates to avoid future disruptions in service.
Engineer at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
5.4
Data Hub scales efficiently, handling diverse data sources, though optimization is needed for extensive datasets, supporting data mesh.
Sentiment score
7.1
SAP PowerDesigner is scalable, efficiently handling large teams and projects, though some users have licensing concerns.
We have successfully onboarded over 1000 datasets from various sources without any issues.
Senior Software Engineer 2 at Porch
Data Hub's scalability is advantageous, as we onboard data from over one hundred fifty tables in SQL Server to Snowflake, and adding new tables to Data Hub is not time-consuming.
Manager - Projects at Cognizant
Data Hub's scalability is very easy, as we were able to add users and new datasets very quickly and smoothly.
Data Quality Engineer at truelogic
Currently, there are no scalability limitations in SAP PowerDesigner, allowing us to create numerous data models for various projects.
Engineer at a tech vendor with 10,001+ employees
The scalability of SAP PowerDesigner is very good.
Senior Advisor-Data Modeling at Suncor Energy
Our main objective is to upgrade to the supported version and be able to do whatever we are doing at the moment.
Principal Architect at Sopra Steria
 

Stability Issues

Sentiment score
8.0
Data Hub and Acryl Data are highly stable, reliable, and comparable to Oracle with minimal downtime and rare minor issues.
Sentiment score
7.0
SAP PowerDesigner is stable, rated 7-8/10, but faces challenges with complex, remote, or customized environments affecting performance.
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
Data Quality Engineer at truelogic
It is quite reliable and on par with what is created using the Oracle database.
Lead Business Analyst at a tech vendor with 10,001+ employees
When I used Data Hub, I did not experience any lagging, crashing, or downtime.
Senior Data Engineer at a tech services company with 1-10 employees
If you use a lot of customizations, especially using VBScript, it becomes less stable.
Data Solution Consultant | Owner at a non-tech company with 1-10 employees
This may lead to frequent downtimes requiring server maintenance; thus, it is not suitable for highly complex solutions, but moderate complexities can be handled.
Engineer at a tech vendor with 10,001+ employees
The product is reliable.
Principal Architect at Sopra Steria
 

Room For Improvement

Data Hub needs better integration, automation, UI, analytics, and security, with enhancements in metadata, memory, and AI functions.
SAP PowerDesigner needs better database synchronization, UI improvements, enhanced collaboration, and integration with open-source technologies, plus reduced costs.
Providing consulting or support with professionals who are qualified to use Data Hub would be interesting, along with providing training and certifications for the tool so that those who are implementing it can specialize increasingly in its features.
Data Quality Engineer at truelogic
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general.
Software Engineer at a tech vendor with 10,001+ employees
I wonder if it can automate the classification exercise, possibly using AI to auto-classify PII direct and indirect items.
Director at a university with 1-10 employees
SAP PowerDesigner does not have a cloud option. It's only on-premise.
Data Solution Consultant | Owner at a non-tech company with 1-10 employees
I would like to see a feature added to SAP PowerDesigner where, upon extracting data from a source, it automatically identifies relationships between tables.
Engineer at a tech vendor with 10,001+ employees
The web portal is unstable and does not work. It freezes up all the time.
Senior Advisor-Data Modeling at Suncor Energy
 

Setup Cost

Enterprise users find Data Hub affordable and effective, connecting multiple data sources with a $100,000 budget, with favorable feedback.
SAP PowerDesigner is costly and mainly for large enterprises, with high fees and annual support costs, limiting affordability.
Regarding experience with pricing, setup cost, and licensing, I think if we have a budget of one hundred thousand US dollars, we will be able to deploy a reasonable version and connect to a number of data sources.
Director at a university with 1-10 employees
It costs about zero since, if we win the setup, it probably results in no cost.
Finance Feedback Committee at MB Shinsei Finance Limited Liability Company
One issue is the cost, as it is a high-priced tool coming from SAP.
Engineer at a tech vendor with 10,001+ employees
 

Valuable Features

Data Hub enhances data exploration, collaboration, and governance with seamless integrations, metadata management, and user-friendly interface, boosting efficiency.
SAP PowerDesigner enhances data management with modeling features, collaboration tools, and integration support, streamlining processes and improving consistency.
Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.
Software Engineer at a tech vendor with 10,001+ employees
Data Hub has positively impacted our organization by bringing the tribal knowledge that resides with team members into a single place where users can discover and understand the data elements before they make use of it.
Director at a university with 1-10 employees
Having a tool that shows the data lineage from the source until the target tables helps us a lot.
Data Quality Engineer at truelogic
The best features of SAP PowerDesigner, from my perspective, are its ability to keep the connectivity between the source database and the new system, data redundancy and availability, and impact analysis.
Engineer at a tech vendor with 10,001+ employees
It allows for a single source of truth for data standardization and consistency in data definitions, helping align business requirements with technical solutions.
Manager at Saama
SAP PowerDesigner doesn't only allow you to model the structure of your database, but you can also model data mappings or data flows or lineage.
Data Solution Consultant | Owner at a non-tech company with 1-10 employees
 

Categories and Ranking

Data Hub
Ranking in Metadata Management
4th
Average Rating
8.2
Reviews Sentiment
4.8
Number of Reviews
22
Ranking in other categories
AI Observability (8th)
SAP PowerDesigner
Ranking in Metadata Management
6th
Average Rating
8.0
Reviews Sentiment
6.2
Number of Reviews
40
Ranking in other categories
Enterprise Architecture Management (2nd)
 

Mindshare comparison

As of August 2026, in the Metadata Management category, the mindshare of Data Hub is 2.7%, up from 0.6% compared to the previous year. The mindshare of SAP PowerDesigner is 3.2%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Data Hub2.7%
SAP PowerDesigner3.2%
Other94.1%
Metadata Management
 

Featured Reviews

Akashkhurana Hirana - PeerSpot reviewer
Senior Software Engineer 2 at Porch
Metadata management has streamlined lineage tracking and data discovery for our teams
The best features Data Hub offers include its integration capability with many popular tools like Apache Airflow, Snowflake, dbt, Looker, Apache Kafka, and BigQuery. These tools provide us with data in various places, and we commonly use Apache Airflow for the DAG, while utilizing BigQuery as our database and Apache Kafka for consuming messaging queues. Data Hub easily connects with all these tools and features excellent data discovery and visualization capabilities. We can see data visibility, where it comes from, its upstream and downstream relationships. If we remove a column, we can assess the impact of that change. Furthermore, if there are duplicate datasets being used by different teams that do not communicate regularly, onboarding all data to Data Hub allows us to identify these duplicates easily. Out of all those features, I believe data discovery and impact analysis are the most valuable for my team because when we want to add or drop a column, we can assess the impact analysis to understand the downstream effects. This helps us know who owns a dataset, and we can easily contact the owner. Tracking the data lineage back to the source table is also a key benefit. Data Hub has positively impacted my organization by significantly reducing manual work that was previously needed to identify upstream and downstream data relationships, as well as recognizing duplicate datasets. If a data contract is broken, we now easily get notified of those issues, making the process much easier and more efficient. It is particularly useful for data engineers and platform teams to check for problems directly within Data Hub. Data Hub has saved our team a lot of time. For example, in a large company like Porch, if I want to know whether a specific dataset exists, I can check Data Hub, as it serves as a centralized point for managing the metadata of our data. While it does not contain all data, it does contain the metadata necessary for understanding the dataset's origin. If a dataset does not exist, I can simply see who the owner is and reach out to them, which reduces the dependency on others by providing direct access to information in Data Hub.
Kopparapu Venkatesh Prasad - PeerSpot reviewer
Engineer at a tech vendor with 10,001+ employees
Data modeling tool improves data management and decision-making efficiency
The lineage analysis helps my organization understand data dependencies at an enterprise level. As a SAP PowerDesigner developer, I monitor data across the organization, creating data models that reflect not just one data warehouse but comprehensive organizational information. If you have a small company, lineage helps track employee data across different areas such as finance and HR. Data governance prevents duplicate records, so when tracking employee details, SAP PowerDesigner highlights where data exists in various areas, helping ensure we only use the appropriate sources. This functionality allows us to assess the impact of data deletions effectively. I utilize the reverse engineering capabilities in SAP PowerDesigner. Reverse engineering is helpful, especially since I have colleagues new to SAP PowerDesigner. They often do not know which columns are available where. In SAP PowerDesigner, we can reverse engineer existing data from its source and identify errors in production. For instance, by using Ali's example, if an error arises, I can trace it back to the table and environment it originated from using the reverse engineering feature. The best features of SAP PowerDesigner, from my perspective, are its ability to keep the connectivity between the source database and the new system, data redundancy and availability, and impact analysis. The first feature acts as a bridge between systems. The second allows us to see what data is already available and what new data can be brought in. The third, impact analysis, helps determine how many tables will be affected if a specific table is deleted. This critical point allows us to capture how much data will be lost if any table is removed. Currently, these features shape my daily work. SAP PowerDesigner primarily benefits business management units by offering three types of data modeling structures: conceptual, logical, and physical models. The conceptual model communicates high-level insights to top executives, while logical and physical models address complex queries faced by developers in analytics. SAP PowerDesigner enhances the clarity of our data management significantly, as around 80% of data can be searched quickly and maintained in our SAP systems. The tool enables mapping from end to end, making my work faster and more efficient than using other ER data modeling solutions. The interface allows easy creation of data models and searching for existing data, ensuring I can complete my tasks significantly quicker. The importance of SAP PowerDesigner's collaboration capabilities lies in fostering a unified data management approach. It acts as a unified tool, preventing the duplication of existing data in analytical processes, thus saving both effort and storage costs, which is essential for effective data management. We utilize collaboration capabilities in SAP PowerDesigner with various source systems such as PG admin, Postgres, Oracle, and Snowflake. Recently, we have added Snowflake for cloud data modeling and POC work, streamlining the collaboration process across different systems.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Outsourcing Company
13%
Construction Company
11%
Manufacturing Company
8%
Financial Services Firm
23%
Government
7%
Retailer
6%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise15
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise7
Large Enterprise18
 

Questions from the Community

What needs improvement with Data Hub?
Data Hub can be improved with easy accessibility. I think integration with other environments is needed to enhance accessibility.
What is your primary use case for Data Hub?
My main use case for Data Hub is for data governance, specifically the use of data lineage and data catalog. I use Data Hub for data governance and data lineage in my day-to-day work by checking th...
What advice do you have for others considering Data Hub?
I do not have any advice to give to others looking into using Data Hub. I found this interview valuable and do not think anything needs to change for the future. My overall review rating for Data H...
What needs improvement with SAP PowerDesigner?
Synchronization is vital since I experience multiple problems, such as mismatched models and manual DDL handling. Improving the synchronization between models and databases can enhance integration ...
What is your primary use case for SAP PowerDesigner?
I use SAP PowerDesigner for data modeling, which greatly enhances the clarity of my data management processes. I manage data across multiple databases, including cloud databases, Teradata, and Orac...
 

Also Known As

Acryl Data
Sybase PowerDesigner
 

Overview

 

Sample Customers

Information Not Available
Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone
Find out what your peers are saying about Data Hub vs. SAP PowerDesigner and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.