Hevo vs StreamSets comparison

Why PeerSpot?

Hevo Data and IBM are both solutions in the Data Integration category. Hevo Data is ranked #47 with an average rating of 8.0, while IBM is ranked #30 with an average rating of 9.0. Hevo Data holds a 0.5% mindshare in DI, compared to IBM’s 1.1% mindshare. Additionally, 100% of Hevo Data users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Hevo

Read 2 Hevo reviews

1,463 Views
1,448 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

5,056 Views
3,893 Comparison Views

100% willing to recommend

Hevo

StreamSets

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Hevo and StreamSets based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Hevo vs. StreamSets Report (Updated: November 2026).

Buyer's Guide

Hevo vs. StreamSets

November 2026

Download the complete report

Helped 920,769 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

Hevo

Ranking in Data Integration

47th

Average Rating

8.0

Reviews Sentiment

2.2

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Ranking in Data Integration

30th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Hevo is 0.5%, up from 0.4% compared to the previous year. The mindshare of StreamSets is 1.1%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.1%
Hevo	0.5%
Other	98.4%

Data Integration

Featured Reviews

davidmwilliams

CIO / CTO / Head Of Data at Data Excellence

Centralizes customer data for fast analytics but has struggled with many concurrent data pipelines

Hevo could be improved as we hit limits, particularly when it couldn't keep up with the high number of databases we wanted to sync frequently—ideally updating everything hourly for near real-time analytics rather than a day behind. We found that with many pipelines, performance degraded. After discussing with Hevo engineers, I learned that Hevo is designed for fast individual pipelines, but struggles with many concurrent pipelines. They suggested that consolidating data from fewer pipelines with more fields would perform better, but even that failed when I tested it with a Business Central database that had numerous fields. Hevo does have limits on the number of pipelines it can manage concurrently and on the number of fields in a single pipeline.Additionally, the API was slower to release compared to the user interface and was not feature-complete, which was frustrating. That said, Hevo actively worked on bridging many gaps. Overall, these were significant pain points I encountered.

Read full review

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.

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

"Hevo has positively impacted my organization by ensuring excellent usage of collected data, which is utilized in various workflows, including sales and marketing and customer relationship management, ultimately helping me serve clients better."

"Hevo positively impacted my organization by allowing us to move data quickly and easily, enabling us to focus on our real challenge: performing analytics and reporting out of Snowflake with all customer data centralized despite using various applications."

"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."

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

"StreamSets is the leader in the market."

"It has helped us in moving into the data analytics world at a faster pace than any other tool would have done."

"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."

More StreamSets pros

Cons

"Hevo could be improved as we hit limits, particularly when it couldn't keep up with the high number of databases we wanted to sync frequently—ideally updating everything hourly for near real-time analytics rather than a day behind."

"There are areas where Hevo could improve, particularly regarding its cost structure, as the pricing is based on usage and the advanced features can become costly for startups that are not well-established."

"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."

"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 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."

"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."

"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."

"Visualization and monitoring need to be improved and refined."

"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."

"There are a few things that can be better."

More StreamSets cons

Pricing and Cost Advice

Information not available

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

"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."

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"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."

"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."

"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."

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

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

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Comms Service Provider

15%

Construction Company

11%

Security Firm

11%

Retailer

Financial Services Firm

10%

Outsourcing Company

Comms Service Provider

Healthcare 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

What needs improvement with Hevo?

There are areas where Hevo could improve, particularly regarding its cost structure, as the pricing is based on usage and the advanced features can become costly for startups that are not well-esta...

See all answers

What is your primary use case for Hevo?

Hevo is mainly used for data integration purposes, and I use it to form a pipeline or a gateway where data is collected from various data collection platforms or sources. Hevo is a data integration...

See all answers

What advice do you have for others considering Hevo?

I would rate this product highly based on my experience with it.

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

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

Comparisons

Fivetran vs Hevo

Compared 22% of the time

Stratio Generative AI Data Fabric vs Hevo

Compared 22% of the time

Talend Data Fabric vs Hevo

Compared 22% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Hevo

Compared 10% of the time

More Hevo Competitors

Pentaho Data Integration and Analytics vs StreamSets

Compared 9% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 6% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

Oracle Data Integrator (ODI) vs StreamSets

Compared 4% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Data Integration

October 2026

Download Hevo product report

Buyer's Guide

StreamSets

October 2026

Download StreamSets product report

Overview

Hevo is an intuitive data integration platform designed to streamline real-time data collection and analysis for businesses. It offers a seamless way to automate data pipelines, eliminating the complexities associated with data management and integration.

Hevo provides an efficient data integration service that enables organizations to connect data from a range of sources into a unified destination for better analysis and decision-making. By supporting real-time data processing, Hevo helps businesses maintain updated analytics, ensuring they can quickly react to changing trends. With its no-code platform, it helps reduce dependency on IT teams, accelerating the integration process and facilitating quicker insights. This platform is suitable for businesses looking to simplify their data workflows and empower their analytics teams.

What are the key features of Hevo?

No-Code Data Pipelines: Build without technical expertise, enabling faster deployment of workflows.
Real-Time Data Processing: Ensure timely analytics to support immediate data-driven decisions.
Seamless Integrations: Connect with a broad range of data sources effortlessly.
Automated Schema Management: Adjust to changes in data walkthrough automation, reducing manual interventions.

What benefits should users expect from using Hevo?

Improved Efficiency: Automation reduces manual tasks, freeing up resources for strategic initiatives.
Enhanced Agility: Adapt swiftly to data changes, improving response times to market dynamics.
Cost Savings: Minimized need for technical resources lowers operational expenses.
Scalable Solutions: Flexible infrastructure supports growth without compromising performance.

Hevo is widely adopted across industries such as e-commerce, finance, and healthcare, where it facilitates efficient data integration and analytics. In e-commerce, Hevo aids in real-time inventory and customer insights. Financial sectors leverage it for fraud detection and compliance analysis, while healthcare providers use it to integrate patient data for improved outcomes.

Hevo Data

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

Deliverr, Meesho, Byju's, Envato, NZXT, Kazoo, Webedia, Airwallex, Cuvva, Opploans

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

Buyer's Guide

Hevo vs. StreamSets

November 2026

Free Report: Hevo vs. StreamSets

Find out what your peers are saying about Hevo vs. StreamSets and other solutions. Updated: November 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

See our Hevo 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.