CloverETL vs StreamSets comparison

Javlin and IBM are both solutions in the Data Integration category. Javlin is ranked #60, while IBM is ranked #22 with an average rating of 9.0. Javlin holds a 0.5% mindshare in DI, compared to IBM’s 1.4% mindshare. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

CloverETL

Read 2 CloverETL reviews

550 Views
358 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,717 Views
1,983 Comparison Views

100% willing to recommend

CloverETL

StreamSets

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

CloverETL and StreamSets compete in the data integration market, each designed for complex data tasks. StreamSets has the upper hand due to its advanced real-time processing and integration features, although CloverETL is more budget-friendly.

Features: CloverETL offers strong data transformation capabilities, robust scheduling tools, and adaptable integration. StreamSets focuses on real-time data processing, scalable architecture, and advanced integration suited for cloud-native applications.

Ease of Deployment and Customer Service: StreamSets provides a flexible deployment model supporting both on-premises and cloud environments, easing integration with existing systems, along with comprehensive customer support. CloverETL uses a traditional deployment method requiring setup but provides attentive service to customers.

Pricing and ROI: CloverETL is seen as more cost-effective with lower initial setup costs, appealing to budget-conscious organizations seeking predictable ROI. StreamSets, while having higher investment costs, justifies the price with features that appeal to businesses looking for scalability and improved operational efficiency.

To learn more, read our detailed CloverETL vs. StreamSets Report (Updated: September 2025).

Buyer's Guide

CloverETL vs. StreamSets

September 2025

Download the complete report

Helped 867,445 peers since 2012

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

CloverETL

Ranking in Data Integration

60th

Average Rating

7.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (38th)

StreamSets

Ranking in Data Integration

22nd

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of CloverETL is 0.5%, up from 0.2% compared to the previous year. The mindshare of StreamSets is 1.4%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
StreamSets	1.4%
CloverETL	0.5%
Other	98.1%

Data Integration

Featured Reviews

it_user856614

Lead Programmer at a healthcare company with 10,001+ employees

Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation

Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…

Read full review

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Useful for data transformation and helps with column encryption

We use various tools and alerting systems to notify us of pipeline errors or failures. StreamSets supports data governance and compliance by allowing us to encrypt incoming data based on specified rules. We can easily encrypt columns by providing the column name and hash key. If you're considering using StreamSets for the first time, I would advise first understanding why you want to use it and how it will benefit you. If you're dealing with change tracking or handling large amounts of data, it could be cost-effective compared to services like Amazon. It's easy to schedule and manage tasks with the tool, and you can enhance your skills as an ETL developer. You can easily migrate traditional pipelines built on platforms like Informatica or Talend to StreamSets. I rate the overall solution an eight out of ten.

Read full review

Quotes from Members

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

Pros

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"No dependence on native language and ease of use."

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."

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

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"It is really easy to set up and the interface is easy to use."

"In StreamSets, everything is in one place."

"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."

"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."

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"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."

More StreamSets pros

Cons

"Its documentation could be improved."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"Needs: easier automated failure recovery; more, and more intuitive auto-generated/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"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."

"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."

"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"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."

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

"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."

More StreamSets cons

Pricing and Cost Advice

Information not available

"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."

"StreamSets is an expensive solution."

"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."

"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."

"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."

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

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

More StreamSets pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

867,445 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

11%

Financial Services Firm

Manufacturing Company

Insurance Company

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

Ask a question

Earn 20 points

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?

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...

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

Comparisons

SAS Visual Analytics vs CloverETL

Compared 52% of the time

Pentaho Data Integration and Analytics vs CloverETL

Compared 48% of the time

More CloverETL Competitors

Informatica PowerCenter vs StreamSets

Compared 13% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 9% of the time

webMethods.io vs StreamSets

Compared 9% of the time

Confluent vs StreamSets

Compared 6% of the time

Qlik Replicate vs StreamSets

Compared 6% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Data Integration

August 2025

Download CloverETL product report

Buyer's Guide

StreamSets

August 2025

Download StreamSets product report

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

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

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA

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

Buyer's Guide

CloverETL vs. StreamSets

September 2025

Free Report: CloverETL vs. StreamSets

Find out what your peers are saying about CloverETL vs. StreamSets and other solutions. Updated: September 2025.

DOWNLOAD NOW

867,445 professionals have used our research since 2012.

See our CloverETL vs. StreamSets report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.