ETL Solutions Transformation Manager vs StreamSets comparison

ETL Solutions and IBM are both solutions in the Data Integration category. ETL Solutions is ranked #55, while IBM is ranked #25 with an average rating of 9.0. ETL Solutions holds a 0.9% mindshare in DI, compared to IBM’s 1.2% mindshare. Additionally, 100% of ETL Solutions users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

ETL Solutions Transformatio...

Read 3 ETL Solutions Transformation Manager reviews

1,352 Views
906 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,948 Views
2,152 Comparison Views

100% willing to recommend

ETL Solutions Transformatio...

StreamSets

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

ETL Solutions Transformation Manager and StreamSets are data integration tools. StreamSets often has the upper hand in feature richness, while ETL Solutions Transformation Manager shows potential advantages in cost and supportive services.

Features: ETL Solutions Transformation Manager is known for robust transformation capabilities and advanced customization options. It supports complex integrations with ease. StreamSets focuses on real-time data processing and a scalable architecture. It offers advanced data lineage tracking and hybrid cloud environment support.

Ease of Deployment and Customer Service: StreamSets provides flexibility with a browser-based interface that supports cloud, on-premises, and hybrid deployments. It has strong documentation and active community forums. ETL Solutions Transformation Manager might require in-depth initial training, but offers dedicated customer support to resolve complex issues quickly.

Pricing and ROI: ETL Solutions Transformation Manager is generally more cost-effective with a focus on efficient data handling. StreamSets requires a higher initial investment but offers greater long-term ROI through scalable, adaptive features.

To learn more, read our detailed ETL Solutions Transformation Manager vs. StreamSets Report (Updated: March 2026).

Buyer's Guide

ETL Solutions Transformation Manager vs. StreamSets

March 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

ETL Solutions Transformatio...

Ranking in Data Integration

55th

Average Rating

9.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Ranking in Data Integration

25th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of ETL Solutions Transformation Manager is 0.9%, up from 0.2% 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 Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.2%
ETL Solutions Transformation Manager	0.9%
Other	97.9%

Data Integration

Featured Reviews

Ravi Kuppusamy

CEO and Founder at BAssure Solutions

It lets us create models so we can generate real-time predictions and insights for a our clients

Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing. I would like it if we could set the solution up to process and respond to real-time events. For example, say I want to configure an app to run based on the mileage a car has driven, and I configure the metering system, so the event occurs every 15 days. Let's say we want to automatically send an alert to EMS, police, etc. if a car gets into an accident. Transformation Manager is more of a conventional tool for reporting, extracting volume, bulk loading, etc. but there should be more provisions for dealing with real-time events, creating some insights, and dealing with perishable data. Ten minutes after the accident, the data doesn't have value. It has value before you saved the person.

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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

"Transformation Manager is the backbone of every data pipeline these days because the solution has been on the market for 20 to 30 years, and we use it for various industries, including financial services, manufacturing, healthcare, etc."

"Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We generate models and then give them to the clients, so they can come up with real-time predictions and recommendations in addition to reporting."

"It is among the best, even if not widely known."

"It is a reliable solution."

"The best feature that I really like is the integration."

"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."

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"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 most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages, completing processes that previously took approximately an hour to an hour and a half with Hadoop in just 15 minutes and saving us around 45 minutes per data pipeline or table that we migrate."

"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."

More StreamSets pros

Cons

"There is room for improvement in the solution's visualization tool."

"They should build a functional architecture based on queuing."

"We get decent support. It's okay but not great."

"Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

"The logging mechanism could be improved. Now, it is a bit difficult to understand and filter the logs."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"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."

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."

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

"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."

More StreamSets cons

Pricing and Cost Advice

"It is an expensive solution."

"I believe the pricing is not equitable."

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

"StreamSets is an expensive solution."

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

"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."

"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."

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

15%

Computer Software Company

13%

Outsourcing Company

12%

Retailer

Financial Services Firm

Manufacturing Company

Insurance Company

Real Estate/Law Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

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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...

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What needs improvement with StreamSets?

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What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

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Product Reports

Buyer's Guide

Data Integration

March 2026

ETL Solutions Transformation Manager report

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Buyer's Guide

StreamSets

March 2026

Download StreamSets product report

Also Known As

Transformation Manager

No data available

Overview

Transformation Manager is an integrated development toolkit that is used to build data migration and data integration solutions more efficiently. A metadata-driven code generator, Transformation Manager provides users with the ability to generate lightweight, easy-to-deploy code. It combines a Graphical User Interface with a statement-driven mapping language. The Transformation Manager software derives metadata from the elements, attributes and relationships in a source and target model. Transformation Manager then uses rules specified by Simple Mapping Language (SML), which is specifically designed for implementing data transformation projects, to generate code written in Java.

ETL Solutions

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

Honda, BNP Paribas, RBS, JPMorgan, Volkswagen, Thorn Lighting, OpenSpirit, Rolls-Royce, Ulster Bank

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

Buyer's Guide

ETL Solutions Transformation Manager vs. StreamSets

March 2026

Free Report: ETL Solutions Transformation Manager vs. StreamSets

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