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Equalum vs Pentaho Data Integration and Analytics comparison

Google and Hitachi Vantara are both solutions in the Data Integration category. Google is ranked #66, while Hitachi Vantara is ranked #18 with an average rating of 7.7. Google holds a 0.4% mindshare in DI, compared to Hitachi Vantara’s 1.7% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.
Equalum
Read 7 Equalum reviews
  • 599 Views
  • 383 Comparison Views
100% willing to recommend
Pentaho Data Integration an...
Read 53 Pentaho Data Integration and Analytics reviews
  • 2,447 Views
  • 1,884 Comparison Views
94% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and Analytics and Equalum are both competitors in the data integration and ETL space, focusing on offering solutions for data replication and transformation. Pentaho has an advantage in terms of community support and cost-effectiveness, while Equalum is praised for its comprehensive platform with CDC replication and streaming ETL capabilities.

Features: Pentaho supports a wide range of databases, files, and big data technologies. It features a drag-and-drop interface and is open-source, allowing for custom solutions. Equalum combines CDC replication, streaming ETL, and batch ETL, leveraging technologies like Kafka and Spark for superior speed and efficiency.

Room for Improvement: Pentaho users highlight the need for enhanced performance with big data, better logging, and improved database support. Equalum would benefit from more comprehensive documentation and robust deployment strategies for multiple projects. Expanding compatibility with additional databases could improve its flexibility.

Ease of Deployment and Customer Service: Pentaho offers versatile deployment models, including on-premises and hybrid cloud. Its customer service is highly community-driven for the free version, with mixed reviews from enterprise users. Equalum supports similar deployment models but faces challenges in integrating with other vendors' products. Its customer service is responsive, although documentation could be more extensive.

Pricing and ROI: Pentaho offers significant value with a free community edition and competitive enterprise pricing, reducing ETL development time. Equalum has a higher price point but justifies it with time-saving features for larger projects, providing a clear return on investment and an uncomplicated licensing model.

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Buyer's Guide
Equalum vs. Pentaho Data Integration and Analytics
September 2025
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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

Equalum
Ranking in Data Integration
66th
Average Rating
9.2
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Data Replication (19th), Cloud Data Integration (30th)
Pentaho Data Integration an...
Ranking in Data Integration
18th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
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 Pentaho Data Integration and Analytics is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Pentaho Data Integration and Analytics1.7%
Equalum0.4%
Other97.9%
Data Integration
 

Featured Reviews

JB
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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Aqeel UR Rehman - PeerSpot reviewer
Transform data efficiently with rich features but there's challenges with large datasets
Currently, I am using Pentaho Data Integration for transforming data and then loading it into different platforms. Sometimes, I use it in conjunction with AWS, particularly S3 and Redshift, to execute the copy command for data processing Pentaho Data Integration is easy to use, especially when…
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"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."
"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."
"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 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."
"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 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."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"We can schedule job execution in the BA Server, which is the front-end product we're using right now. That scheduling interface is nice."
"Pentaho Data Integration is easy to use, especially when transforming data."
"The fact that it enables us to leverage metadata to automate data pipeline templates and reuse them is definitely one of the features that we like the best. The metadata injection is helpful because it reduces the need to create and maintain additional ETLs. If we didn't have that feature, we would have lots of duplicated ETLs that we would have to create and maintain. The data pipeline templates have definitely been helpful when looking at productivity and costs."
"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."
"The product is user-friendly and intuitive"
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
More Pentaho Data Integration and Analytics pros
 

Cons

"The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy."
"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."
"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."
"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."
"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."
"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."
"I was not happy with the Pentaho Report Designer because of the way it was set up. There was a zone and, under it, another zone, and under that another one, and under that another one. There were a lot of levels and places inside the report, and it was a little bit complicated. You have to search all these different places using a mouse, clicking everywhere... each report is coded in a binary file... You cannot search with a text search tool..."
"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."
"Its basic functionality doesn't need a whole lot of change. There could be some improvement in the consistency of the behavior of different transformation steps. The software did start as open-source and a lot of the fundamental, everyday transformation steps that you use when building ETL jobs were developed by different people. It is not a seamless paradigm. A table input step has a different way of thinking than a data merge step."
"The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case, it's hard to find a way to execute step by step in the debugging mode."
"The testing and quality could really improve. Every time that there is a major release, we are very nervous about what is going to get broken. We have had a lot of experience with that, as even the latest one was broken. Some basic things get broken. That doesn't look good for Hitachi at all. If there is one place I would advise them to spend some money and do some effort, it is with the quality. It is not that hard to start putting in some unit tests so basic things don't get broken when they do a new release. That just looks horrible, especially for an organization like Hitachi."
"​I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse​."
"I have been facing some difficulties when working with large datasets. It seems that when there is a large amount of data, I experience memory errors."
"If you're working with a larger data set, I'm not so sure it would be the best solution. The larger things got the slower it was."
More Pentaho Data Integration and Analytics cons
 

Pricing and Cost Advice

"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."
"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."
"Equalum licensing costs vary, but I won't be able to give information on its fees."
"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."
"The cost of these types of solutions are expensive. So, we really appreciate what we get for our money. Though, we don't think of the solution as a top-of-the-line solution or anything like that."
"You need to go through the paid version to have Hitachi Lumada specialized support. However, if you are using the free version, then you will have only the community support. You will depend on the releases from Hitachi to solve some problem or questions that you have, such as bug fixes. You will need to wait for the newest versions or releases to solve these types of problems."
"I primarily work on the Community Version, which is available to use free of charge."
"You don't need the Enterprise Edition, you can go with the Community Edition. That way you can use it for free and, for free, it's a pretty good tool to use."
"The solution reduced our ETL development time by a lot because a whole project used to take about a month to get done previously. After having Lumada, it took just a week. For a big company in Brazil, it saves a team at least $10,000 a month."
"There was a cost analysis done and Pentaho did favorably in terms of cost."
"We are using the Community Edition. We have been trying to use and sell the Enterprise version, but that hasn't been possible due to the budget required for it."
"There is a good open source option (Community Edition)​."
More Pentaho Data Integration and Analytics pricing and cost advice
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
18%
Computer Software Company
11%
Government
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 Business17
Midsize Enterprise16
Large Enterprise25
 

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
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...
See all answers
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, ...
See all answers
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...
See all answers
 

Comparisons

No data available
Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics Logo
Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics
Compared 14% of the time
Informatica PowerCenter vs Pentaho Data Integration and Analytics Logo
Informatica PowerCenter vs Pentaho Data Integration and Analytics
Compared 10% of the time
SSIS vs Pentaho Data Integration and Analytics Logo
SSIS vs Pentaho Data Integration and Analytics
Compared 9% of the time
SnapLogic vs Pentaho Data Integration and Analytics Logo
SnapLogic vs Pentaho Data Integration and Analytics
Compared 9% of the time
Talend Open Studio vs Pentaho Data Integration and Analytics Logo
Talend Open Studio vs Pentaho Data Integration and Analytics
Compared 8% of the time
More Pentaho Data Integration and Analytics Competitors
 

Product Reports

Buyer's Guide
Equalum
October 2025
Equalum reportDownload Equalum product report
Buyer's Guide
Pentaho Data Integration and Analytics
September 2025
Pentaho Data Integration and Analytics reportDownload Pentaho Data Integration and Analytics product report
 

Also Known As

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

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

Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.

Hitachi Vantara
 

Sample Customers

SIEMENS, GSK, Wal-Mart, T Systems
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Buyer's Guide
Equalum vs. Pentaho Data Integration and Analytics
September 2025
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