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SAP Analytics Hub vs SSIS comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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 Analytics Hub
Ranking in Data Integration
50th
Average Rating
7.2
Reviews Sentiment
6.4
Number of Reviews
7
Ranking in other categories
BI (Business Intelligence) Tools (31st)
SSIS
Ranking in Data Integration
3rd
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
74
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.1%, up from 0.1% compared to the previous year. The mindshare of SSIS is 7.7%, down from 7.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Hyunwook Kang - PeerSpot reviewer
Provides efficient data integration features, but the technical support services need improvement
We use the product for analytics across various business processes and sectors. It helps us analyze SAP ERP data The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity. The platform could easily integrate with other ERP data solutions.…
Sean Achim - PeerSpot reviewer
Building impactful organizational KPIs with ease and precision
Stability is rated at 10. One other important aspect I appreciate is that SSAS is included in the base installation of SQL Server. Obviously, it requires installation, but it is readily available, which is a major strength. It's all about setting it up, configuring it, and then using it. If there are additional costs associated with it or separating it as a second product, that would be a disadvantage. The area of improvement is really in education. Microsoft is trying to push everything as a Power BI solution or trying to get people to solve the problems which are solved with SSAS in another space in Power BI, or in Power Pivot, is not enough. There's not enough marketing, conversation, and support around that space. As a result, we end up with people not understanding that you need to build your models correctly, and then they try to model everything inside of Power BI, or another visualization tool, without first building the data model. That leads people to consider alternate solutions because SAP and others argue that their whole thing is in memory, and they disseminate misleading information. Additionally, what would be very helpful is local user group developments, so getting people around the table and teaching them how to use it. That is the biggest problem; it's not the technology itself. The challenge lies in Microsoft withdrawing a lot of the qualifications and watering down its emphasis, leading to a perception that this is supposed to be an elite product.

Quotes from Members

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

Pros

"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."
"This product provides good reports using a single pane of glass."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"The setup is easy to use and understand."
"In SSIS, the scope is not only to handle ETL challenges, but it will allow us to do so many other tasks, such as DBA activities, scripting, calling any .exe or scripts, etc."
"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."
"The setup was easy. All Microsoft products are easy to set up."
"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."
"It's already very user-friendly and has a good dashboard."
"It has the ability to be deployed into the cloud through Data Factory, and run completely as a software as a service in the cloud."
"The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
 

Cons

"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"The interface can be simplified because it is not a user-friendly experience."
"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
"The technical support for Analytics Hub is limited and could be improved."
"Microsoft's technical support has decreased in quality over the last few years, becoming less responsive and tending to pass problems on instead of solving them."
"The solution could improve on integrating with other types of data sources."
"We've had issues in terms of the amount of data that is transferred when we are scheduling."
"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."
"I would like to see more features in terms of the integration with Azure Data Factory."
"Generic processes should be used instead of custom code for each table."
"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."
"Tuning using this solution requires extensive expertise to improve performance."
 

Pricing and Cost Advice

"The pricing is reasonable."
"The product is expensive."
"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"It is an expensive solution."
"My advice is to look at what your configuration will be because most companies have their own deals with Microsoft."
"It comes bundled with other solutions, which makes it difficult to get the price on the specific product."
"If you don't want to pay a lot of money, you can go for SSIS, as its open-source version is available. When it comes to licensing, SSIS can be expensive."
"I'm not involved in licensing details, but SSIS provides value to our organization by simplifying data management tasks."
"The solution comes free of cost."
"The solution is available at a lesser price than that of Informatica."
"We have an enterprise license for this solution."
"People have to opt for a perpetual-based licensing model."
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Comparison Review

it_user90069 - PeerSpot reviewer
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
Computer Software Company
17%
Financial Services Firm
10%
Healthcare Company
10%
Energy/Utilities Company
9%
Financial Services Firm
19%
Computer Software Company
11%
Government
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SAP Analytics Hub?
Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually.
What is your experience regarding pricing and costs for SAP Analytics Hub?
The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.
What needs improvement with SAP Analytics Hub?
The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space.
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?
Utilizing SSIS involves no extra charges beyond the SQL Server license. It's an economical choice for my clients.
 

Also Known As

No data available
SQL Server Integration Services
 

Overview

 

Sample Customers

STIB-MIVB
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 SAP Analytics Hub vs. SSIS and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.