Informatica PowerCenter vs SAP Data Hub [EOL] comparison

Why PeerSpot?

The compared Informatica and SAP solutions aren't in the same category. Informatica is ranked #4 in DI , with an average rating of 8.4, and holds a 3.7% mindshare in the category. Additionally, 91% of Informatica users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

Informatica PowerCenter

Read 85 Informatica PowerCenter reviews

17,332 Views
12,999 Comparison Views

91% willing to recommend

SAP Data Hub [EOL]

Read 3 SAP Data Hub [EOL] reviews

66% willing to recommend

Informatica PowerCenter

SAP Data Hub [EOL]

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Informatica PowerCenter and SAP Data Hub [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2026).

Buyer's Guide

Data Integration

October 2026

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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

Informatica PowerCenter

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (4th), Data Visualization (13th)

SAP Data Hub [EOL]

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Hemanthreddy Vakiti

Data Engineer at a tech vendor with 10,001+ employees

Streamlined daily sales workflows have reduced team size and enabled earlier, accurate reporting

One of the best features I appreciate about Informatica PowerCenter is that anyone with minimal knowledge of ETL can easily use it. It has four different interfaces: Monitor, Repository, Designer, and Workflow Manager. With our use case, we can easily go to that particular interface and use it. Another valuable feature is the use of Mapplets; if we have one mapping created that we want to use again and again for other workflows, we can create a Mapplet and save it so that we can reuse the mapping, reducing our workload. Informatica PowerCenter has positively impacted my organization because, as I mentioned previously, the development team has been reduced to half since we moved to it due to its easy interface and the reusability of Mapplets. It has also saved us a lot of time; for example, it has saved nearly one hour per day on monitoring and workflow tasks. Saving one hour a day is key because it has led us to report the data to business users one hour earlier than the usual time. If there are any anomalies or defects in the data, we can easily rectify them within that hour, which reduces the chance of errors in the data. Regarding cost, the number of people working on the project has been reduced to half, thus significantly decreasing costs for our organization since we moved to Informatica PowerCenter.

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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

"Informatica PowerCenter is one of the best solutions or products in the data integration space."

"Technical support is great. It's one of the reasons we really like them. When you compare support from IBM and support from Informatica, Informatica is much better."

"To me, what's most valuable in Informatica PowerCenter is the flexibility in building the integration pipeline. Usually, you need to have a platform to be able to integrate with different technologies, including legacy data such as the mainframe. The platform should also be rich enough to transform the data per your business requirement, with no restrictions. Rich integration and rich transformation capabilities are the two key capabilities in Informatica PowerCenter. The solution also offers ease of use. Another valuable feature of Informatica PowerCenter is the drag-and-drop integration because it's GUI-based, similar to IBM and Oracle."

"Deployment was simple and straightforward."

"This is an old and reliable product, and I like the visual tool for data mapping and the workflow manager."

"Error handling capability is quite good in Informatica PowerCenter because it provides a very detailed session log, which is really helpful to identify errors."

"The number of docs has been reduced drastically, which is very good."

"In terms of the capability of data loading features, Informatica products are better."

More Informatica PowerCenter pros

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

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

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

"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

"Integration with Artificial Intelligence would benefit this solution."

"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."

"I would like to see it be able to import data from NoSQL."

"While Informatica is great for data-integration, it does not have any analytics features. Thus, organizations have to always look for another product for their BI needs."

"The licensing cost for Informatica is very high. Other all-in-one solutions have much lower prices than Informatica."

"Support could be better."

"The cloud-based solution mostly focuses on continuous data stream processing, but not on batch processing."

"Informatica are very rigid when it comes to cloud migrations which discourages customers in moving their solution to the cloud."

More Informatica PowerCenter cons

"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."

"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."

"The company has everything offshore."

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

Pricing and Cost Advice

"The licensing fees are paid on a yearly basis."

"Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it."

"The license model is CPU based."

"A basic setup can be from $100,000 and up annually."

"We are satisfied with the pricing."

"Our customers pay a licensing fee yearly."

"Compared to other tools, I think PowerCenter is a bit expensive. When I compare it to Oracle, if you want to use Oracle databases, you can easily get an ODI tool, so it's easier to handle. Informatica is a standalone tool—it's an independent company—and there are no databases around them, so it's quite expensive to use. Generally, large companies use PowerCenter because of the price. If companies want to expand their usage areas, they try to consider if it's easy to implement and easy to understand the pricing. I think the pricing is a barrier for Informatica."

"The price of Informatica PowerCenter is expensive, but it does give value."

More Informatica PowerCenter pricing and cost advice

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

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Comparison Review

it_user90069

BI Expert at a healthcare company with 1,001-5,000 employees

Feb 20, 2014

Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities

Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

Outsourcing Company

Construction Company

Outsourcing Company

15%

Manufacturing Company

13%

Financial Services Firm

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	11
Large Enterprise	76

No data available

Questions from the Community

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

See all answers

Which is better - SSIS or Informatica PowerCenter?

SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...

See all answers

Which Informatica product would you choose - PowerCenter or Cloud Data Integration?

Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...

See all answers

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Comparisons

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Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerCenter

Compared 5% of the time

WhereScape RED vs Informatica PowerCenter

Compared 5% of the time

SSIS vs Informatica PowerCenter

Compared 4% of the time

Pentaho Data Integration and Analytics vs Informatica PowerCenter

Compared 4% of the time

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Compared 9% of the time

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Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub [EOL]

Compared 6% of the time

SSIS vs SAP Data Hub [EOL]

Compared 5% of the time

Zapier vs SAP Data Hub [EOL]

Compared 4% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

Informatica PowerCenter

October 2026

Download Informatica PowerCenter product report

Buyer's Guide

Data Governance

October 2026

Download SAP Data Hub [EOL] product report

Also Known As

PowerCenter

No data available

Overview

Informatica PowerCenter is known for its robust data integration, scalability, and user-friendly interfaces. It simplifies data processing with real-time capabilities, handling large datasets efficiently. Its adaptability with diverse sources makes it suitable for complex data environments.

Informatica PowerCenter offers extensive transformation options with features like flow designer, mapping, and error handling, enhancing development efficiency. Its GUI interface allows seamless integration across different platforms, making it suitable for managing extensive datasets. Traceability and support cater to evolving data requirements, while adaptability with multiple sources aids in driving strategic data outputs. Some areas for improvement include a more robust cloud strategy, better documentation, and improved API integrations. Enhanced automation and setup processes could further refine the experience.

What are the key features of Informatica PowerCenter?

Data Integration: Facilitates robust data handling across numerous platforms.
Real-Time Processing: Manages data workflows efficiently in real-time.
Transformation Options: Provides extensive options for data mapping and manipulation.
Error Handling: Enhances development through efficient error management.
Scalability: Supports growing data needs with adaptability across diverse systems.

What benefits should users look for?

Scalability: Supports growth with efficient data management and integration.
Efficiency: Offers user-friendly interfaces for streamlined workflows.
Support: Provides traceability and comprehensive support for large data handling.
Adaptability: Integrates seamlessly with various data platforms, enhancing flexibility.
Future-Preparedness: Ready for transition to cloud environments for better scalability.

Informatica PowerCenter plays a vital role in data integration and ETL processes for building data warehouses. Industries like banking, insurance, and healthcare utilize it for extracting, transforming, and loading data into target systems, supporting analytics, reporting, and compliance. Companies often transition to cloud environments for enhanced scalability and efficiency.

Informatica

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

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank

Kaeser Kompressoren, HARTMANN

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.

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