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Equalum [EOL] vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 15, 2026

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
7.4
Pentaho and Lumada integration improved efficiency, reduced costs, and enhanced decision-making speed, benefiting companies' competitiveness and project wins.
I have seen a return on investment; my team was able to stay extremely small even though we had a lot of data integrations with many companies.
Principal Software Engineer at a tech vendor with 10,001+ employees
I can testify to the return on investment with metrics regarding time saved; we have increased our efficiency by about 20 to 30 percent due to the swift migration processes facilitated by the tool.
Data Integration Developer at a tech services company with 1,001-5,000 employees
I have noticed a return on investment with Pentaho Data Integration and Analytics in terms of time savings and staff reduction.
Data Analyst at Telefonica Digital
 

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
5.1
Pentaho support experiences vary; some note effectiveness, others delays, with community forums often supplementing Enterprise's speedy ticket responses.
24/7 assistance is available for the Enterprise Edition.
Data architect at a tech vendor with 10,001+ employees
take the time to understand our business requirements, offering appropriate recommendations.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Communication with the vendor is challenging
Data Architecture and Engineering Specialist at coprocenva
 

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
7.2
Pentaho Data Integration offers good scalability for moderate datasets but struggles with large volumes and cloud architectures.
It can be scaled well until you reach a point where you need to perform a lot of operations, and the issue arises when it runs out of memory to handle some data.
Data engineer at a educational organization with 1,001-5,000 employees
Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.
Data Analyst at Telefonica Digital
Pentaho Data Integration handles larger datasets better.
Data Architecture and Engineering Specialist at coprocenva
 

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
7.2
Pentaho is stable and reliable, though minor bugs and performance issues occur, especially with older or complex queries.
Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.
Data architect at a tech vendor with 10,001+ employees
I find that version 3.1 is the most stable version I have ever used.
Founder-CEO at Ubuntu Analytica
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
Data Architecture and Engineering Specialist at coprocenva
 

Room For Improvement

Equalum EOL requires improvements in notifications, connectors, documentation, UI, deployment, security, replication, and database integration.
Pentaho requires better cloud adaptability, scalability, real-time processing, modern UI, language support, performance, documentation, and environment compatibility.
We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Pentaho Data Integration and Analytics can be improved by working with different environments, specifically the possibility to change the variables, meaning I write my variables only once and can change them for different environments such as production or development.
Founder-CEO at Ubuntu Analytica
Pentaho Data Integration and Analytics could have real-time processing and automatic alerting, having alerts or automatic notifications when a job fails or when certain data doesn't meet certain rules.
Data Analyst at Telefonica Digital
 

Setup Cost

Equalum's pricing is considered reasonable and competitive, focusing on CPU and connector additions, despite perceptions of expensiveness.
Pentaho offers a cost-effective solution with appealing Community and Enterprise editions, maintaining positive sentiment despite some price increases.
I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.
Project Manager at Laberit
The setup cost was minimal, and the pricing experience was pretty good.
Data engineer at a educational organization with 1,001-5,000 employees
The company covered it and they had no problem paying for it because they saw that it was cost-effective in terms of performance afterwards.
Data Analyst at Telefonica Digital
 

Valuable Features

Equalum streamlines data flow between SQL Server and Oracle with real-time streaming, no-code interface, and intuitive monitoring features.
Pentaho offers intuitive data integration with broad connectivity, simplifying complex transformations and providing flexibility and automation across environments.
Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us.
Principal Software Engineer at a tech vendor with 10,001+ employees
It automates the data workflow, including extraction, cleansing, and loading into warehouses for BI reporting purposes, while also removing duplicates, validating data, and standardizing formats, enabling real-time decision-making.
Data Integration Developer at a tech services company with 1,001-5,000 employees
Pentaho Data Integration and Analytics has positively impacted my organization because it is easier to use, and my knowledge about this work facilitates the translation from the source to my final system.
Project Manager at Laberit
 

Categories and Ranking

Equalum [EOL]
Average Rating
9.2
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
60
Ranking in other categories
Data Integration (7th)
 

Featured Reviews

reviewer1525674 - PeerSpot reviewer
Managing Director at a consultancy with 11-50 employees
Frees staff to focus on data workflow and on what can be done with data, and away from the details of the technology
There are areas they can do better in, like most software companies that are still relatively young. 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. If I had the wherewithal to create a tool that could allow for all that connectivity, it would be massive, out-of-the-box. There are all the updates every month. An open source changes constantly, so compatibility for these sources or targets is not easy. And a lot of targets are proprietary and they actually don't want you to connect with them in real time. They want to keep that connectivity for their own competitive tool. What happens is that a customer will say, "Okay, I've got Oracle, and I've got MariaDB, and I've got SQL Server over here, and I've got something else over there. And I want to aggregate that, and put it into Google Cloud Platform." Having connectors to all of those is extremely difficult, as is maintaining them. So there are major challenges to keeping connectivity to those data sources, especially at a CDC level, because you've got to maintain your connectors. And every change that's made with a new version that comes out means they've got to upgrade their version of the connector. It's a real challenge in the industry. But one good thing about Equalum is that they're up for the challenge. If there's a customer opportunity, they will develop and make sure that they update a connector to meet the needs of the customer. They'll also look at custom development of connectors, based on the customer opportunity. It's a work in progress. Everybody in the space is in the same boat. And it's not just ETL tools. It's everybody in the Big Data space. It's a challenge. The other area for improvement, for Equalum, is their documentation of the product. But that comes with being a certain size and having a marketing team of 30 or 40 people and growing as an organization. They're getting there and I believe they know what the deficiencies are. Maintaining and driving a channel business, like Equalum is doing, is really quite a different business model than the direct-sales model. It requires a tremendous amount of documentation, marketing information, and educational information. It's not easy.
Michelle Lawson - PeerSpot reviewer
Principal Software Engineer at a tech vendor with 10,001+ employees
Streamlines complex data workflows and has supported automated customer payment notifications
I haven't used Pentaho Data Integration and Analytics in a couple of years, so I don't know how it can be improved. I was pretty pleased with it and was self-taught on it, working a lot with their team at various times, but they were surprised that I was able to learn it all by myself. The documentation is not bad, and documentation is the main thing that any product can do to make themselves better because the easier it is to find examples of what you're trying to do improves the learning curve. I think it took me the longest to learn how to do the asynchronous processing and have things wait for other things to finish processing before continuing on in the workflow. I choose 8 out of 10 because the one reason that it's been rejected at T-Mobile is that everything has to go through a provisioning process and has to get approved, meaning the actual code base has to be investigated by T-Mobile before they'll allow us to use tools of that nature. For whatever reason, we just haven't been able to get that approval; I don't know if it's on Pentaho Data Integration and Analytics' side or if it's on our side. The more you can make it easier for companies to feel comfortable that your product is secure, robustly tested and bug-free, and free of any other kind of negative hacks, the more quickly it will get accepted.
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Top Industries

By visitors reading reviews
Comms Service Provider
19%
Retailer
11%
Financial Services Firm
11%
Museum Or Institution
8%
Financial Services Firm
15%
Educational Organization
8%
Government
7%
Manufacturing Company
6%
 

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 Business18
Midsize Enterprise17
Large Enterprise31
 

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...
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 ...
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...
Which ETL tool would you recommend to populate data from OLTP to OLAP?
Hi Rajneesh, yes here is the feature comparison between the community and enterprise edition : https://www.hitachivantara.com/en-us/pdf/brochure/leverage-open-source-benefits-with-assurance-of-hita...
What do you think can be improved with Hitachi Lumada Data Integrations?
In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, ...
What do you use Hitachi Lumada Data Integrations for most frequently?
My company has used this product to transform data from databases, CSV files, and flat files. It really does a good job. We were most satisfied with the results in terms of how many people could us...
 

Also Known As

No data available
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

SIEMENS, GSK, Wal-Mart, T Systems
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Informatica, Microsoft, Qlik and others in Data Integration. Updated: May 2026.
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