SAP Analytics Hub vs StreamSets comparison

SAP and IBM are both solutions in the Data Integration category. SAP is ranked #45 with an average rating of 7.0, while IBM is ranked #21 with an average rating of 9.0. SAP holds a 0.6% mindshare in DI, compared to IBM’s 1.2% mindshare. Additionally, 71% of SAP users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

SAP Analytics Hub

Read 8 SAP Analytics Hub reviews

1,427 Views
599 Comparison Views

71% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,863 Views
2,090 Comparison Views

100% willing to recommend

SAP Analytics Hub

StreamSets

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

StreamSets and SAP Analytics Hub are competing in the data integration and analytics space. StreamSets is favored for real-time data integration, while SAP Analytics Hub is preferred for comprehensive analytics and integration capabilities within SAP environments.

Features:StreamSets provides real-time data processing, extensive data pipeline automation, and flexibility in handling various data sources. SAP Analytics Hub offers strong features for accessing, managing, and visualizing analytics within the SAP ecosystem. The key difference lies in the focus: StreamSets targets data pipeline efficiency, whereas SAP Analytics Hub emphasizes data analysis and visualization in a business context.

Room for Improvement:StreamSets could improve on simplifying its portal experience, processing large volumes of data faster, and enhancing its overall integration experience. SAP Analytics Hub might focus on reducing the complexity of deployment for non-SAP environments, expanding non-SAP analytics connector options, and improving intuitive user interface design.

Ease of Deployment and Customer Service:StreamSets offers a straightforward deployment experience with various options, known for responsive customer service. SAP Analytics Hub's deployment is more complex due to integration with other SAP products but offers seamless experiences for existing SAP customers, with extensive support within the SAP framework.

Pricing and ROI:StreamSets is known for competitive pricing, offering a good ROI for companies focusing on data integration with lower upfront costs. SAP Analytics Hub may have higher setup costs but provides significant ROI through its comprehensive analytics capabilities for organizations needing deep insights and connections within SAP's ecosystem.

To learn more, read our detailed SAP Analytics Hub vs. StreamSets Report (Updated: February 2026).

Buyer's Guide

SAP Analytics Hub vs. StreamSets

February 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

SAP Analytics Hub

Ranking in Data Integration

45th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (29th)

StreamSets

Ranking in Data Integration

21st

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.6%, 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
Product	Market Share (%)
StreamSets	1.2%
SAP Analytics Hub	0.6%
Other	98.2%

Data Integration

Featured Reviews

Nitesh Agrawal

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.

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SrinivasanSankar

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.

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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

"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."

"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."

"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."

"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."

"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."

"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."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."

"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."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"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."

"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."

"StreamSets is the leader in the market."

More StreamSets pros

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."

"The interface can be simplified because it is not a user-friendly experience."

"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."

"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."

"The technical support for Analytics Hub is limited and could be improved."

"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."

"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"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."

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"We've seen a couple of cases where it appears to have a memory leak or a similar problem."

More StreamSets cons

Pricing and Cost Advice

"It is an expensive solution."

"The pricing is reasonable."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

"The product is expensive."

"It has a CPU core-based licensing, which works for us and is quite good."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"I believe the pricing is not equitable."

"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."

"StreamSets is an expensive solution."

"It's not so favorable for small companies."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

15%

Retailer

Transportation Company

Financial Services Firm

Insurance Company

Financial Services Firm

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

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.

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What needs improvement with SAP Analytics Hub?

See all answers

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 ...

See all answers

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...

See all answers

What needs improvement with StreamSets?

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

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Compared 11% of the time

Teradata vs SAP Analytics Hub

Compared 11% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 11% of the time

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webMethods.io vs StreamSets

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Matillion Data Productivity Cloud vs StreamSets

Compared 6% of the time

Informatica PowerCenter vs StreamSets

Compared 5% of the time

Oracle GoldenGate vs StreamSets

Compared 5% of the time

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Product Reports

Buyer's Guide

SAP Analytics Hub

January 2026

Download SAP Analytics Hub product report

Buyer's Guide

StreamSets

January 2026

Download StreamSets product report

Overview

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

SAP

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

IBM

Sample Customers

STIB-MIVB

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

SAP Analytics Hub vs. StreamSets

February 2026

Free Report: SAP Analytics Hub vs. StreamSets

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