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Pentaho Data Integration and Analytics vs Python Connectors comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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
8th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
60
Ranking in other categories
No ranking in other categories
Python Connectors
Ranking in Data Integration
33rd
Average Rating
10.0
Reviews Sentiment
8.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.6%, up from 1.4% compared to the previous year. The mindshare of Python Connectors is 0.7%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.6%
Python Connectors0.7%
Other97.7%
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.
reviewer2761659 - PeerSpot reviewer
Product Engineer at a tech vendor with 10,001+ employees
Has improved data integration speeds and strengthened security through secure authentication
In my experience, the best features Python Connectors offers are easy database connectivity, support for secure authentication, and encryption options. We have used encrypted connections and secure authentication methods, so no plain text credentials have helped us, and we found it effective. We found that Python Connectors is compliance-friendly, very secure, and has no plain text passwords or anything.

Quotes from Members

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

Pros

"Pentaho Data Integration and Analytics positively impacted my organization by organizing data that was scattered across many different databases and APIs, reducing a lot of manual work and centralizing it into one data warehouse."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"Pentaho Data Integration and Analytics has had a notably positive impact on my organization, enabling us to complete several projects efficiently."
"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."
"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."
"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 can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."
"Since we started to use Python Connectors, we found it very reliable, and there are many measurable benefits of this."
 

Cons

"I experience difficulties when handling millions of rows, as the data movement from one source to another becomes challenging."
"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..."
"The support for the Enterprise Edition is okay, but what they have done in the last three or four years is move more and more things to that edition. The result is that they are breaking the Community Edition. That's what our impression is."
"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."
"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 product needs more plugins."
"Larger data jobs take more time to execute."
"​There is not a data quality or MDM solution in the Pentaho DI suite.​"
"Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool."
 

Pricing and Cost Advice

"There is a good open source option (Community Edition)​."
"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."
"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."
"I believe the pricing of the solution is more affordable than the competitors"
"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."
"I use it because it is free. I download from their page for free. I don't have to pay for a license. With other tools, I have to pay for the licenses. That is why I use Pentaho."
"I think Lumada's price is fair compared to some of the others, like BusinessObjects, which is was the other thing that I used at my previous job. BusinessObject's price was more reasonable before SAP acquired it. They jacked the price up significantly. Oracle's OBIEE tool was also prohibitively expensive."
"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%
Educational Organization
10%
Government
8%
Manufacturing Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise17
Large Enterprise31
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 needs improvement with Python Connectors?
Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool. It is much costlier than other products, but considering Python language bein...
What is your primary use case for Python Connectors?
Python Connectors are mainly used to connect between the front-end and back-end of a project. It may seem like an API or a framework. We have used Python Connectors to create an employee dashboard....
What advice do you have for others considering Python Connectors?
Python Connectors is actually very easy and user-friendly and accessible, and the most reliable feature is that it is user-friendly. The person who knows Python from top to end feels a master in it...
 

Also Known As

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

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Information Not Available
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