FME vs Pentaho Data Integration and Analytics comparison

Safe Software and Hitachi Vantara are both solutions in the Data Integration category. Safe Software is ranked #22 with an average rating of 8.5, while Hitachi Vantara is ranked #19 with an average rating of 7.7. Safe Software holds a 1.9% mindshare in DI, compared to Hitachi Vantara’s 1.8% mindshare. Additionally, 100% of Safe Software users are willing to recommend the solution, compared to 94% of Hitachi Vantara users who would recommend it.

FME

Read 6 FME reviews

2,250 Views
1,539 Comparison Views

100% willing to recommend

Pentaho Data Integration an...

Read 53 Pentaho Data Integration and Analytics reviews

1,932 Views
1,035 Comparison Views

94% willing to recommend

FME

Pentaho Data Integration an...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

Pentaho Data Integration and FME compete in data integration and transformation categories. Pentaho generally has an advantage with its pricing and customer support, while FME's feature set aligns with its premium pricing.

Features: Pentaho provides capabilities like data blending, reporting, and OLAP services, making it suitable for comprehensive data analytics. FME excels in spatial data processing, providing robust integration with geographic formats.

Room for Improvement: Pentaho could benefit from enhancing its spatial data handling capabilities, expanding its free version features, and improving its UI for more intuitive use. FME might improve by offering more flexible pricing options, simplifying its learning curve for non-technical users, and expanding its customer service options beyond self-support.

Ease of Deployment and Customer Service: Pentaho features a flexible deployment that integrates easily with existing systems and offers supportive customer service for troubleshooting. FME's deployment is streamlined, particularly for geographic systems, but leans on self-service support.

Pricing and ROI: Pentaho is more affordable, offering strong ROI for extensive data integration on a budget, appealing to small to medium enterprises with cost-effective licensing. FME, despite its higher cost, delivers substantial ROI for industries with complex spatial data needs, justifying its premium through advanced features and integration options.

To learn more, read our detailed FME vs. Pentaho Data Integration and Analytics Report (Updated: May 2025).

Buyer's Guide

FME vs. Pentaho Data Integration and Analytics

May 2025

Download the complete report

Helped 860,592 peers since 2012

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

FME

Ranking in Data Integration

22nd

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Pentaho Data Integration an...

Ranking in Data Integration

19th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of FME is 1.9%, up from 1.6% compared to the previous year. The mindshare of Pentaho Data Integration and Analytics is 1.8%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Alan Bloor

Geographic Information System Developer at Public Sector

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.

Read full review

Aqeel UR Rehman

BI Analyst at a computer software company with 51-200 employees

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…

Read full review

Quotes from Members

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

Pros

"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."

"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."

"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."

"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."

"It has standard plug-ins available for different data sources."

"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."

"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."

"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."

"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."

"It has improved our data integration capabilities."

"Data transformation within Pentaho is a nice feature that they have and that I value."

"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."

"It's my understanding that the product can scale."

"Pentaho Data Integration is easy to use, especially when transforming data."

More Pentaho Data Integration and Analytics pros

Cons

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

"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."

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."

"FME's price needs improvement for the African market."

"We are looking at the possibility of using Glue instead of FME, using the native AWS product."

"Improvements could be made to mapping presentations."

"The product needs more plugins."

"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."

"Communicating with the vendor is challenging, and this hinders its performance in free tool setups."

"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..."

"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."

"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."

"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."

"Some of the scheduling features about Lumada drive me buggy. The one issue that always drives me up the wall is when Daylight Savings Time changes. It doesn't take that into account elegantly. Every time it changes, I have to do something. It's not a big deal, but it's annoying."

More Pentaho Data Integration and Analytics cons

Pricing and Cost Advice

"FME Server used to cost £10,000; now it can cost over £100,000."

"We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."

"The product's price is reasonable."

"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."

"There was a cost analysis done and Pentaho did favorably in terms of cost."

"There is a good open source option (Community Edition)."

"When we first started with it, it was much cheaper. It has gone up drastically, especially since Hitachi bought out Pentaho."

"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."

"I mostly used the open-source version. I didn't work with a license."

"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."

"It does seem a bit expensive compared to the serverless product offering. Tools, such as Server Integration Services, are "almost" free with a database engine. It is comparable to products like Alteryx, which is also very expensive."

More Pentaho Data Integration and Analytics pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

860,592 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Government

30%

Energy/Utilities Company

13%

Computer Software Company

Comms Service Provider

Financial Services Firm

21%

Computer Software Company

14%

Government

Manufacturing Company

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.

See all answers

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...

See all answers

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...

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

Azure Data Factory vs FME

Compared 26% of the time

Talend Open Studio vs FME

Compared 12% of the time

Alteryx Designer vs FME

Compared 8% of the time

SSIS vs FME

Compared 7% of the time

Oracle Data Integrator (ODI) vs FME

Compared 3% of the time

More FME Competitors

Oracle Data Integrator (ODI) vs Pentaho Data Integration and Analytics

Compared 16% of the time

SSIS vs Pentaho Data Integration and Analytics

Compared 11% of the time

Informatica PowerCenter vs Pentaho Data Integration and Analytics

Compared 10% of the time

Talend Open Studio vs Pentaho Data Integration and Analytics

Compared 9% of the time

SAP Data Services vs Pentaho Data Integration and Analytics

Compared 3% of the time

More Pentaho Data Integration and Analytics Competitors

Product Reports

Buyer's Guide

FME

June 2025

Download FME product report

Buyer's Guide

Pentaho Data Integration and Analytics

June 2025

Pentaho Data Integration and Analytics report

Download Pentaho Data Integration and Analytics product report

Also Known As

No data available

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration

Overview

FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

Safe Software

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

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute

Buyer's Guide

FME vs. Pentaho Data Integration and Analytics

May 2025

Free Report: FME vs. Pentaho Data Integration and Analytics

Find out what your peers are saying about FME vs. Pentaho Data Integration and Analytics and other solutions. Updated: May 2025.

DOWNLOAD NOW

860,592 professionals have used our research since 2012.

See our FME vs. Pentaho Data Integration and Analytics report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.