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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
7th
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 May 2026, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.7%, up from 1.6% compared to the previous year. The mindshare of Python Connectors is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Pentaho Data Integration and Analytics1.7%
Python Connectors0.6%
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

"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it, and after the optimization of the data, it took about one to two hours to do the whole process."
"It allows for very quick development due to the intuitive interface."
"It is easy to use, install, and start working with."
"Provides a good open source option."
"Pentaho Data Integration and Analytics has positively impacted my organization by saving costs, managing large data sets, and integrating multiple sources."
"I find the drag and drop feature in Pentaho Data Integration very useful for integration."
"It has made a world of difference."
"Overall it is an awesome tool."
"Since we started to use Python Connectors, we found it very reliable, and there are many measurable benefits of this."
 

Cons

"I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"In the Community edition, it would be nice to have more modules that allow you to code directly within the application."
"Some of the scheduling features about Lumada drive me buggy."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"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 and it was kind of buggy sometimes."
"The support from Hitachi is not the greatest, the fixing of bugs can take a really long time."
"Their technical support is not good. I would rate them 2 out of 10 because they don't have good technical skills to solve problems."
"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

"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."
"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 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."
"For most development tasks, the Enterprise edition should be sufficient. It depends on the type of support that you require for your production environment."
"I mostly used the open-source version. I didn't work with a license."
"There is a good open source option (Community Edition)​."
"I primarily work on the Community Version, which is available to use free of charge."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Educational Organization
8%
Government
7%
Manufacturing Company
6%
Financial Services Firm
14%
Construction Company
11%
Manufacturing Company
11%
Healthcare Company
9%
 

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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