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FME vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

ROI

No sentiment score available
Sentiment score
7.9
Pentaho Data Integration cuts ETL time and costs significantly, offering substantial savings and competitive advantages through open-source efficiency.
 

Scalability Issues

Sentiment score
7.6
FME excels in enterprise scalability and performance, efficiently handling large datasets with high user satisfaction, despite some resource limits.
No sentiment score available
 

Stability Issues

Sentiment score
7.3
FME's 2022 version is favored for stability, while the 2023 update receives mixed reviews due to interface changes.
No sentiment score available
 

Room For Improvement

FME is costly and complex, needs online workspace creation, and lacks simplified loop functions for African users.
 

Setup Cost

FME pricing varies, with some users finding it cost-effective and others criticizing significant price increases due to rebranding.
Pentaho offers a free Community Edition, while the Enterprise Edition has more features but increased costs post-Hitachi acquisition.
 

Valuable Features

FME offers a user-friendly interface, strong spatial tools, smooth integrations, and quick results, minimizing coding and development time.
 

Categories and Ranking

FME
Ranking in Data Integration
26th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
5
Ranking in other categories
No ranking in other categories
Pentaho Data Integration an...
Ranking in Data Integration
24th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
52
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of FME is 2.0%, up from 1.6% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.5%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Alan Bloor - PeerSpot reviewer
Great for handling large volumes of data, but it is priced a bit high
When I do coding, I think about every single function. Some of these functions can be very elementary, like doing a substring or some capitalization. But FME removes all that coding because it's a transformer, so the time to develop an application to get to a point where you're producing results is decreased massively. It used to take weeks and months to develop software, and now I can use something like FME, and within one day, we get results. We can look at and validate data. We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.
Ryan Ferdon - PeerSpot reviewer
Low-code makes development faster than with Python, but there were caching issues
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. It was kind of buggy sometimes. And when we ran the flow, it didn't go from a perceived start to end, node by node. Everything kicked off at once. That meant there were times when it would get ahead of itself and a job would fail. That was not because the job was wrong, but because Pentaho decided to go at everything at once, and something would process before it was supposed to. There were nodes you could add to make sure that, before this node kicks off, all these others have processed, but it was a bit tedious. There were also caching issues, and we had to write code to clear the cache every time we opened the program, because the cache would fill up and it wouldn't run. I don't know how hard that would be for them to fix, or if it was fixed in version 10. Also, the UI is a bit outdated, but I'm more of a fan of function over how something looks. One other thing that would have helped with Pentaho was documentation and support on the internet: how to do things, how to set up. I think there are some sites on how to install it, and Pentaho does have a help repository, but it wasn't always the most useful.
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Top Industries

By visitors reading reviews
Government
28%
Energy/Utilities Company
12%
Computer Software Company
7%
Manufacturing Company
5%
Financial Services Firm
23%
Computer Software Company
15%
Government
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about FME?
We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else.
What is your experience regarding pricing and costs for FME?
The pricing is really bad. Last year, they rebranded the whole pricing structure. It used to be moderately priced at about £400 per user per year. Now they've changed the whole thing, and it's expe...
What needs improvement with FME?
The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point. There must be a technical or comm...
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

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about FME vs. Pentaho Data Integration and Analytics and other solutions. Updated: November 2024.
824,067 professionals have used our research since 2012.