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Pentaho Data Integration and Analytics vs Precisely Connect comparison

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Comparison Buyer's Guide

Executive Summary

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

Pentaho Data Integration an...
Ranking in Data Integration
9th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
61
Ranking in other categories
No ranking in other categories
Precisely Connect
Ranking in Data Integration
46th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.8%, up from 1.6% compared to the previous year. The mindshare of Precisely Connect is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.8%
Precisely Connect0.7%
Other97.5%
Data Integration
 

Featured Reviews

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.
reviewer2667306 - PeerSpot reviewer
Data Engineer at a consultancy with 1-10 employees
AI compliance integration elevates data quality and decision-making
I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and ensure data governance Precisely has the AI Act already implemented into the data catalog, which…

Quotes from Members

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

Pros

"It's my understanding that the product can scale."
"Since we started using Pentaho Data Integration and Analytics, many of our manual tasks have become automatic, and we have increased our time for productive things."
"I would fully recommend Pentaho."
"We have seen at least 30% savings in terms of effort, which has helped us to price our service and products more aggressively in the market and win more clients."
"It allows for very quick development due to the intuitive interface."
"I can use Python, which is open-source, and I can run other scripts, including Linux scripts. It's user-friendly for running any object-based language. That's a very important feature because we live in a world of open-source."
"Using Lumada compared to using SQL manually, ETL development time is half the time it took using a basic manual transformation."
"It is easy to use, install, and start working with."
"Precisely has the AI Act already implemented into the data catalog, which allows the integration of the European Artificial Intelligence Act into our processes."
"Using Precisely improves data quality, which can lead to a 30% increase in revenue and boost net income by 20% to 25% if implemented correctly."
 

Cons

"It is difficult to process huge amounts of data."
"The stability is not great, especially when you start patching it a lot because things get broken."
"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"They could improve the logging generator. Sometimes the error description is so generic that it is not possible to detect the problem."
"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."
"Lumada could have more native connectors with other vendors, such as Google BigQuery, Microsoft OneDrive, Jira systems, and Facebook or Instagram."
"The price of the regular version is not reasonable and it should be lower."
"Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly."
 

Pricing and Cost Advice

"The price of the regular version is not reasonable and it should be lower."
"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."
"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."
"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."
"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."
"I mostly used the open-source version. I didn't work with a license."
"If a company is looking for an ETL solution and wants to integrate it with their tech stack but doesn't want to spend a bunch of money, Pentaho is a good solution"
"The pricing has been pretty good. I'm used to using everything open-source or freeware-based. I understand that organizations need to make sure that the solutions are secure, and that's basically where I hit a roadblock in my current organization. They needed to ensure that we had a license and we had a secure way of accessing it so that no outside parties could get access to our data, but in terms of pricing, considering how much other teams are spending on cloud solutions or even their existing solutions, its price point is pretty good. At this time, there are no additional costs. We just have the licensing fees."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Outsourcing Company
11%
Construction Company
8%
Educational Organization
8%
Financial Services Firm
14%
Construction Company
11%
Insurance Company
10%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise32
No data available
 

Questions from the Community

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...
What is your experience regarding pricing and costs for Precisely Connect?
Precisely has a high entry price, which is why it is not suitable for small to mid-sized organizations.
What needs improvement with Precisely Connect?
Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly.
What is your primary use case for Precisely Connect?
I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and...
 

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
DMExpress, Syncsort DMX, Syncsort Connect ETL
 

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore
Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
917,181 professionals have used our research since 2012.