Equalum vs StreamSets comparison

Google and IBM are both solutions in the Data Integration category. Google is ranked #66, while IBM is ranked #22 with an average rating of 9.0. Google holds a 0.4% mindshare in DI, compared to IBM’s 1.5% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Equalum

Read 7 Equalum reviews

599 Views
383 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,599 Views
1,871 Comparison Views

100% willing to recommend

Equalum

StreamSets

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

StreamSets and Equalum are key players in the data integration and management sector. StreamSets appears to have the upper hand due to its extensive connectors and flexibility, although Equalum excels in user-friendly functionalities.

Features: StreamSets is noted for its no-code pipeline creation, robust data drift management, and diverse connectivity options including batch and streaming support. Equalum offers a unique combination of CDC replication, streaming ETL, and batch ETL, with a no-code interface using an Excel-like language for transformations.

Room for Improvement: StreamSets could improve in areas of integration with non-Java platforms and enhancing logging and security features. Equalum needs better database integration and documentation, along with improved user interface functionality. Both face challenges in database and source connectivity, yet Equalum promises custom development solutions.

Ease of Deployment and Customer Service: StreamSets is praised for its flexible public, hybrid, and on-premises deployment, though support response time could be better. Equalum offers easy deployment with a preference for community resources over formal support, enhancing self-service capabilities.

Pricing and ROI: StreamSets uses a CPU core-based licensing model with an open-source version, although it’s considered pricey for smaller enterprises. Equalum's component-based pricing is seen as reasonable but potentially expensive compared to local options. Both are recognized for significant ROI through efficiency improvements.

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

Buyer's Guide

Equalum vs. StreamSets

September 2025

Download the complete report

Helped 868,787 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

Equalum

Ranking in Data Integration

66th

Average Rating

9.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Replication (19th), Cloud Data Integration (30th)

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 October 2025, in the Data Integration category, the mindshare of Equalum is 0.4%, up from 0.1% compared to the previous year. The mindshare of StreamSets is 1.5%, 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	1.5%
Equalum	0.4%
Other	98.1%

Data Integration

Featured Reviews

Joel Buck

Director of Enterprise Architecture at a pharma/biotech company with 10,001+ employees

There is no better product for CDC and streaming on Kafka

The Equalum user interface is extremely easy to use. I would rank it really highly on user-friendliness. The only issue with the user interface is it doesn't supply everything that you need for somebody who has to work with Equalum. For example, when you get deep into development, there are many areas where you have to go to the command line to do things and the Equalum user interface does not have that functionality. The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy. If you have multiple projects, all working in one Equalum environment, separating out their work is something that you have to design into your implementation, as opposed to baked into the product.

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

"Equalum is real-time. If you are moving from an overnight process to a real-time process, there is always a difference in what reports and analytics show compared to what our operational system shows. Some of our organizations, especially finance, don't want those differences to be shown. Therefore, going to a real-time environment makes the data in one place match the data in another place. Data accuracy is almost instantaneous with this tool."

"The main impact for Oracle LogMiner is the performance. Performance is drastically reduced if you use the solution’s Oracle Binary Log Parser. So, if we have 60 million records, initially it used to take a minute. Now, it takes a second to do synchronization from the source and target tables."

"Equalum provides a single platform for core architectural use cases, including CDC replication, streaming ETL, and batch ETL. That is important to our clients because there is no other single-focus product that covers these areas in that much detail, and with this many features on the platform. The fact that they are single-minded and focused on CDC and ETL makes this such a rich solution. Other solutions cover these things a little bit in their multi-function products, but they don't go as deep."

"I found two features in Equalum that I consider the most valuable. One is that Equalum is a no-code tool. You can do your activities on its graphical interface, which doesn't require complex knowledge of extracting, changing, or loading data. Another feature of Equalum that I like the most is that it monitors the data transfers and tells you if there's any issue so that you can quickly check and correct it. Equalum also tells you where the problem lies, for example, if it's a hardware or communication issue."

"Equalum has resulted in system performance improvements in our organization. Now, I am ingressing data off of multiple S3 sources, doing data processing, and formatting a schema. This would usually take me a couple of days, but now it takes me hours."

"It's got it all, from end-to-end. It's the glue. There are a lot of other products out there, good products, but there's always a little bit of something missing from the other products. Equalum did its research well and understood the requirements of large enterprise and governments in terms of one tool to rule them all, from a data migration integration perspective."

"It's a really powerful platform in terms of the combination of technologies they've developed and integrated together, out-of-the-box. The combination of Kafka and Spark is, we believe, quite unique, combined with CDC capabilities. And then, of course, there are the performance aspects. As an overall package, it's a very powerful data integration, migration, and replication tool."

"All our architectural use cases are on a single platform, not multiple platforms. You don't have to dump into different modules because it is the same module everywhere."

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

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

"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 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"

"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."

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

"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."

"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

"Their UI could use some work. Also, they could make it just a little faster to get around their user interface. It could be a bit more intuitive with things like keyboard shortcuts."

"They need to expand their capabilities in some of the targets, as well as source connectors, and native connectors for a number of large data sources and databases. That's a huge challenge for every company in this area, not just Equalum."

"There is not enough proven integration with other vendors. That is what needs to be worked on. Equalum hasn't tested anything between vendors, which worries our clients. We need more proven vendor integration. It is an expensive product and it needs to support a multi-vendor approach."

"The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy."

"If you need to use the basic features of Equalum, for example, you don't even need data integration, then many competitors in the market can give you basic features. For instance, if you need batch ETL, you can pick among solutions in the market that have been around longer than Equalum. What needs improvement in Equalum is replication, as it could be faster. Equalum also needs better integration with specific databases such as Oracle and Microsoft SQL Server."

"I should be able to see only my project versus somebody else's garbage. That is something that would be good in future. Right now, the security is by tenants, but I would like to have it by project, e.g., this project has this source and flows in these streams, and I have access to this on this site."

"Right now, they have a good notification system, but it is in bulk. For example, if I have five projects running and I put a notification, the notification comes back to me for all five projects. I would like the notification to come back only for one project."

"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

"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."

"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."

"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 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."

"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."

"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."

"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."

More StreamSets cons

Pricing and Cost Advice

"Equalum licensing costs vary, but I won't be able to give information on its fees."

"As soon as you have more than six users, Equalum is lower in cost [than Talend] and if the group gets bigger, it's quite a big delta. If more users want to use it, you don't end up with an increase in licensing costs, so that makes it very easy. And if you need more licenses or more sources, it's a very simple upgrade methodology."

"Equalum was reasonably priced. It is not like those million dollar tools, such as Informatica."

"Equalum is rather expensive compared to its competitors. So, you have to make up that cost in time savings, and we usually do that. If we are saving money, it is because we are reducing our development time."

"They have a very simple approach to licensing. They don't get tied up with different types of connectivity to different databases. If you need more connectors or if you need more CPU, you just add on. It's component-based pricing."

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

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

"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."

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

"I believe the pricing is not equitable."

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

868,787 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

11%

Insurance Company

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

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

Questions from the Community

Why should I use Equalum instead of LogMiner?

You'd want to use the Equalium Oracle Binary Log Parser because it's just better than the LogMiner. Sure, LogMiner is made by Oracle and probably the team knows some insight to make it efficient th...

See all answers

Is Equalum compatible with all databases?

I'm using Equalum's data replication software for Oracle because that's the one database it's designed for. While it may sound limiting, when you find out how many solutions it can provide for you ...

See all answers

Can I use Equalum for free?

No, it's not free but you can benefit from a free trial, though. There's an option to try their platform for a limited amount of time, so that may be useful to help you decide if you want to contin...

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?

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

No data available

Informatica PowerCenter vs StreamSets

Compared 12% of the time

webMethods.io vs StreamSets

Compared 9% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 9% of the time

Oracle GoldenGate vs StreamSets

Compared 7% of the time

Qlik Replicate vs StreamSets

Compared 7% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Equalum

October 2025

Download Equalum product report

Buyer's Guide

StreamSets

September 2025

Download StreamSets product report

Overview

Equalum is a fully-managed, end-to-end data integration and real-time data streaming platform, powered by industry-leading change data capture (CDC) tech and modern data transformation capabilities (streaming ETL and ELT). Equalum's enterprise-grade platform features intuitive UI allowing you to build robust, real-time data pipelines in minutes.

Google

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

SIEMENS, GSK, Wal-Mart, T Systems

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

Buyer's Guide

Equalum vs. StreamSets

September 2025

Free Report: Equalum vs. StreamSets

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

DOWNLOAD NOW

868,787 professionals have used our research since 2012.

See our Equalum vs. StreamSets report.

See our list of best Data Integration vendors and best Cloud 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.