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SAP Analytics Hub vs StreamSets 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
6.5
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (30th)
StreamSets
Ranking in Data Integration
22nd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.5%, up from 0.1% compared to the previous year. The mindshare of StreamSets is 1.2%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
StreamSets1.2%
SAP Analytics Hub0.5%
Other98.3%
Data Integration
 

Featured Reviews

Nitesh Agrawal - PeerSpot reviewer
Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.
Integration and security have improved, but search functionality and clarity of future direction need enhancement
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.
SS
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
Enables effective batch loading with visual interface and enterprise support
One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

Quotes from Members

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

Pros

"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."
"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."
"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."
"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."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."
"This product provides good reports using a single pane of glass."
"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."
"It is really easy to set up and the interface is easy to use."
"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."
"The best feature that I really like is the integration."
"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."
"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
 

Cons

"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"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."
"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."
"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."
"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."
"The interface can be simplified because it is not a user-friendly experience."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."
"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."
"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."
"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."
 

Pricing and Cost Advice

"The product is expensive."
"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"The pricing is reasonable."
"It is an expensive solution."
"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."
"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
"We are running the community version right now, which can be used free of charge."
"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."
"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."
"I believe the pricing is not equitable."
"It's not so favorable for small companies."
"The pricing is affordable for any business."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Transportation Company
7%
Retailer
7%
Financial Services Firm
7%
Insurance Company
8%
Financial Services Firm
8%
Manufacturing Company
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise11
 

Questions from the Community

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 search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data l...
What advice do you have for others considering SAP Analytics Hub?
When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics ...
What do you like most about StreamSets?
The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...
What needs improvement with StreamSets?
One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infr...
What is your primary use case for StreamSets?
We are using StreamSets for batch loading.
 

Overview

 

Sample Customers

STIB-MIVB
Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Find out what your peers are saying about SAP Analytics Hub vs. StreamSets and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.