Hevo vs StreamSets comparison

Why PeerSpot?

Hevo Data and IBM are both solutions in the Data Integration category. Hevo Data is ranked #49 with an average rating of 7.0, while IBM is ranked #24 with an average rating of 9.5. 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 1 Hevo review

1,137 Views
1,126 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,501 Views
3,466 Comparison Views

100% willing to recommend

Hevo

StreamSets

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Executive Summary

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

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: August 2026).

Buyer's Guide

Data Integration

August 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

Hevo

Ranking in Data Integration

49th

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

StreamSets

Ranking in Data Integration

24th

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 2026, in the Data Integration category, the mindshare of Hevo is 0.5%, up from 0.3% compared to the previous year. The mindshare of StreamSets is 1.1%, down from 1.4% 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 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."

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

"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."

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

"This product was a lot easier to use than the one we had before it, and it took us half an hour and we were set up and running it the first time."

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

"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."

"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."

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."

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

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

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

"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."

"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."

"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."

"If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."

"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."

More StreamSets cons

Pricing and Cost Advice

Information not available

"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."

"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 affordable for any business."

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

"We are running the community version right now, which can be used free of charge."

"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."

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

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Outsourcing Company

Comms Service Provider

Manufacturing 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?

See all answers

What is your primary use case for Hevo?

My main use case for Hevo is moving data from a series of different databases into a Snowflake data warehouse.I can give you a specific example of how I use Hevo to move data between databases and ...

See all answers

What advice do you have for others considering Hevo?

Hevo did not have any AI capabilities when I was using it, but I think its security is good, utilizing proper web authentication techniques with encrypted keys. However, it does not enforce governa...

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

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Compared 11% of the time

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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

Confluent vs StreamSets

Compared 4% of the time

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Product Reports

Buyer's Guide

Data Integration

August 2026

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Buyer's Guide

StreamSets

August 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

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: August 2026.

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