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Equalum [EOL] vs StreamSets comparison

Google and IBM are both solutions in the Data Integration category. Google is ranked #62, while IBM is ranked #22 with an average rating of 9.0. Google holds a 0.6% mindshare in DI, compared to IBM’s 1.2% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.
Equalum [EOL]
Read 7 Equalum [EOL] reviews
  • 952 Views
  • 628 Comparison Views
100% willing to recommend
StreamSets
Read 21 StreamSets reviews
  • 2,665 Views
  • 1,919 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 15, 2026

StreamSets and Equalum [EOL] are competitive products in the ETL and data integration market. StreamSets is known for its GUI and connector range, while Equalum [EOL] has an edge in backend performance for real-time processing.

Features: StreamSets is equipped with a user-friendly GUI, extensive built-in features for batch and streaming ETL processes, and a wide array of connectors requiring minimal coding. Equalum [EOL] integrates technologies like Kafka and Spark, offering no-code solutions with robust CDC capabilities and fast data delivery, making it suitable for users needing efficient streaming functionalities.

Room for Improvement: StreamSets could improve integration with non-Java platforms, enhance logging and visualization, and update its security model. Users have highlighted issues with memory and a steep learning curve. Equalum [EOL] needs more native connector support and better documentation. Users desire more straightforward database integrations and an intuitive UI.

Ease of Deployment and Customer Service: StreamSets is commonly used in diverse environments, including public and hybrid clouds, receiving positive feedback on technical support despite delays. Users often alternate between self-learning and community support. Equalum [EOL] provides flexible deployment but often relies on community and online resources for technical help, with occasional intervention needed.

Pricing and ROI: StreamSets offers competitive pricing with its open-source option, but its paid support is seen as expensive. Users report significant ROI through time savings and operational efficiencies. Equalum [EOL]'s pricing, while reasonable, may be costly compared to rivals, yet its efficiency in data processing justifies the expense. StreamSets attracts cost-conscious users, whereas Equalum [EOL] is favored for effectively enhancing productivity.

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Buyer's Guide
Equalum [EOL] vs. StreamSets
January 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:
 

ROI

Sentiment score
6.9
Equalum EOL accelerates data delivery, reduces development needs, enhances integration speed, and offers cost-saving by streamlining processes.
Sentiment score
8.1
StreamSets speeds up data processing, boosts efficiency and revenue, simplifies tasks, enhances security, and reduces costs significantly.
 

Customer Service

Sentiment score
8.2
Equalum's customer service is praised for responsiveness, technical expertise, multilingual support, and significant upgrades enhancing user experience.
Sentiment score
6.7
StreamSets support is responsive and knowledgeable, offering effective solutions, though response times and technical handling could improve.
No quotes available
For more quotes and insights, download the Equalum [EOL] report
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
SrinivasanSankar
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
For more quotes and insights, download the StreamSets report
 

Scalability Issues

Sentiment score
7.7
Equalum provides scalable data flow solutions with controllable environments, supporting both vertical and horizontal expansion for growing businesses.
Sentiment score
7.6
StreamSets is scalable and flexible, favored for cloud use but could improve auto-scaling for large data migrations.
 

Stability Issues

Sentiment score
7.5
Equalum offers strong stability and performance, with rare network issues, while navigating initial phases presents minor challenges.
Sentiment score
7.8
StreamSets is praised for stability and reliability, despite minor memory issues, with high user ratings and market competitiveness.
 

Room For Improvement

Equalum EOL requires improvements in notifications, connectors, documentation, UI, deployment, security, replication, and database integration.
StreamSets struggles with integration, real-time processing, clarity in UI, memory issues, security, documentation, and cloud storage performance.
No quotes available
For more quotes and insights, download the Equalum [EOL] report
It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
SrinivasanSankar
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
For more quotes and insights, download the StreamSets report
 

Setup Cost

Equalum's pricing is considered reasonable and competitive, focusing on CPU and connector additions, despite perceptions of expensiveness.
StreamSets provides flexible pricing models, with varied user satisfaction, favoring larger enterprises over smaller companies due to cost.
 

Valuable Features

Equalum streamlines data flow between SQL Server and Oracle with real-time streaming, no-code interface, and intuitive monitoring features.
StreamSets offers intuitive interface, extensive connectors, and features accessible to non-technical users for seamless data integration and manipulation.
No quotes available
For more quotes and insights, download the Equalum [EOL] report
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
SrinivasanSankar
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
For more quotes and insights, download the StreamSets report
 

Categories and Ranking

Equalum [EOL]
Ranking in Data Integration
62nd
Average Rating
9.2
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Data Replication (17th), Cloud Data Integration (30th)
StreamSets
Ranking in Data Integration
22nd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Equalum [EOL] is 0.6%, up from 0.1% 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 Market Share Distribution
ProductMarket Share (%)
StreamSets1.2%
Equalum0.6%
Other98.2%
Data Integration
 

Featured Reviews

JB
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.
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SS
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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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
8%
Insurance Company
8%
Computer Software Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise11
 

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

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Compared 7% of the time
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Compared 6% of the time
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Product Reports

Buyer's Guide
Equalum [EOL]
January 2026
Equalum [EOL] reportDownload Equalum [EOL] product report
Buyer's Guide
StreamSets
December 2025
StreamSets reportDownload StreamSets product report
 

Overview

Equalum EOL offers robust data replication services, focusing on CDC replication, streaming and batch ETL. It provides a user-friendly interface with no-code capabilities, integrating seamlessly with technologies like Kafka and Spark.

Equalum EOL is designed to facilitate data integration and migration processes through advanced CDC replication, streaming, and batch ETL capabilities. Its intuitive interface supports complex data processes without requiring extensive technical skills. Enhanced with automated self-healing and performance monitoring, the platform provides fast data streaming services. Equalum integrates effectively with Kafka and Spark, allowing unique functionality enhancements. The graphical interface is advantageous for users needing command-line features for workflow deployment while offering intuitive monitoring for quick issue resolution.

What are the most important features of Equalum EOL?
  • CDC Replication: Ensures seamless data synchronization across systems.
  • Streaming ETL: Provides real-time data processing for timely insights.
  • Batch ETL: Supports large-scale data aggregation for comprehensive analysis.
  • No-Code Interface: Simplifies complex processes for non-technical users.
  • Integration with Kafka and Spark: Enhances data processing capabilities.
  • Automated Self-Healing: Reduces downtime and system latency.
What benefits should users look for in reviews of Equalum EOL?
  • Improved Data Sync: Efficient data replication minimizes lag.
  • Performance Monitoring: Keeps data processes running smoothly.
  • Flexible Integration: Adapts to various data sources and platforms.
  • Real-Time Data Access: Facilitates on-the-fly decision-making with streaming ETL.

Equalum EOL is implemented across industries for data replication tasks such as moving databases and SQL Server data to Oracle. It effectively integrates legacy and siloed data for applications, transactions, and BI dashboards, operating both on-premises and in the cloud. With features like the micro-batching of Kafka topics and transforming large XML files into Snowflake, Equalum EOL supports consultants offering SaaS and on-premises solutions, catering to real-time Change Data Capture needs in cloud environments.

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 [EOL] vs. StreamSets
January 2026
Free Report: Equalum [EOL] vs. StreamSets
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