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SAP Data Hub vs SSIS comparison

 

Comparison Buyer's Guide

Executive Summary

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

SAP Data Hub
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Data Governance (32nd), Metadata Management (15th)
SSIS
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
76
Ranking in other categories
Data Integration (1st)
 

Mindshare comparison

SAP Data Hub and SSIS aren’t in the same category and serve different purposes. SAP Data Hub is designed for Data Governance and holds a mindshare of 1.1%, up 1.0% compared to last year.
SSIS, on the other hand, focuses on Data Integration, holds 4.0% mindshare, down 7.7% since last year.
Data Governance Market Share Distribution
ProductMarket Share (%)
SAP Data Hub1.1%
Microsoft Purview Data Governance13.8%
Collibra Platform9.2%
Other75.9%
Data Governance
Data Integration Market Share Distribution
ProductMarket Share (%)
SSIS4.0%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
Informatica PowerCenter3.7%
Other88.6%
Data Integration
 

Featured Reviews

VM
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.
Chris Farris - PeerSpot reviewer
Manager, Data Operations at a manufacturing company with 5,001-10,000 employees
User-friendly interface facilitates efficient data migration and reduces operational overhead
Its usability and ease of use are standout features. It is really easy to use - almost too easy at times. Users don't have to be experts to use their tool set and utilize the clicking mechanisms, drop down boxes, and other features to build a package and run it. The configuration is very easy and the system is very stable. I would rate it at a 10 as it is highly reliable; we have never had any problems with it. Very little maintenance is required on my side. While you need to keep the product up to date, the maintenance requirements are minimal. SSIS integrates with all Microsoft tools seamlessly. We have used it against Oracle, DB2 and SQL. It integrates and can move data around from any data platforms, making it very diverse in that standpoint. It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.

Quotes from Members

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

Pros

"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."
"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"
"Overall, it's a good product."
"The return on investment has been very high; the tool has made us tremendously more efficient and saved us a significant amount of money, though I cannot put an exact figure on it."
"The performance is good."
"The initial setup was easy."
"The data reader is the most valuable feature."
"The most valuable feature of SSIS is that it can handle real complex transformations."
"It is easy to set up the product."
"We like that this solution includes a developer edition, free of charge, to allow for training."
 

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."
"The company has everything offshore."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"It's a legacy tool, that is nearing the end of its useful life."
"We're in the process of switching to Informatica, and we need to work out data lineage and data profiling and to improve the quality of our data. SSIS, however, is not that compatible with Informatica. We managed to connect it to Informatica Metadata Manager, but we don't get good lineage, so we have to redo all our ETLs using the Informatica process in order to accept the proper data lineage."
"SSIS can improve in handling different data sources like Salesforce connectivity, Oracle Cloud's connectivity, etc."
"It would be nice if you could run SSIS on other environments besides Windows."
"We'd like them to develop data exploration more."
"The logging capabilities could be improved, particularly for error logging."
"SSIS could be integrated with more services, such as Power BI, to make the reporting structures more user-friendly."
"Performance could be better."
 

Pricing and Cost Advice

"The Cloud is very expensive, but SAP HANA previous service is okay."
"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."
"SSIS is a cheaper option compared to the cost of other ETL tools."
"We have an enterprise license for this solution."
"The solution comes free of cost."
"Our license with SSIS is annual."
"This solution is included with the MSSQL server package."
"Depending on the arrangement that a certain company has with Microsoft, it may supply the permanent license that is included in the SQL server license, or it may be a time-bound license if it is a partner license or other enterprise license."
"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
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Comparison Review

it_user90069 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Manufacturing Company
18%
Financial Services Firm
14%
Computer Software Company
11%
Government
10%
Financial Services Firm
17%
Computer Software Company
9%
Government
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise19
Large Enterprise57
 

Questions from the Community

Ask a question
Earn 20 points
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...
What do you like most about SSIS?
The product's deployment phase is easy.
What is your experience regarding pricing and costs for SSIS?
It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.
 

Also Known As

No data available
SQL Server Integration Services
 

Overview

 

Sample Customers

Kaeser Kompressoren, HARTMANN
1. Amazon.com 2. Bank of America 3. Capital One 4. Coca-Cola 5. Dell 6. E*TRADE 7. FedEx 8. Ford Motor Company 9. Google 10. Home Depot 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Foods 15. Lockheed Martin 16. McDonald's 17. Microsoft 18. Morgan Stanley 19. Nike 20. Oracle 21. PepsiCo 22. Procter & Gamble 23. Prudential Financial 24. RBC Capital Markets 25. SAP 26. Siemens 27. Sony 28. Toyota 29. UnitedHealth Group 30. Visa 31. Walmart 32. Wells Fargo
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: December 2025.
879,853 professionals have used our research since 2012.