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Matillion Data Productivity Cloud vs Pentaho Data Integration and Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 31, 2025

Review summaries and opinions

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

ROI

Sentiment score
7.3
Matillion Data Productivity Cloud boosts ROI within a year by reducing costs and enhancing efficiency with Snowflake integration.
Sentiment score
7.9
Pentaho offers cost-effective integration, reducing ETL time, lowering expenses, and enhancing competitiveness with open-source flexibility and efficiency.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
 

Customer Service

Sentiment score
7.6
Matillion Data Productivity Cloud offers excellent, responsive support with comprehensive resources, exceeding user expectations through proactive engagement.
Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
They communicate effectively and respond quickly to all inquiries.
Communication with the vendor is challenging
 

Scalability Issues

Sentiment score
7.6
Matillion Data Productivity Cloud is highly scalable, leveraging cloud environments for efficient processing with recent improvements enhancing flexibility and compatibility.
Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
Pentaho Data Integration handles larger datasets better.
 

Stability Issues

Sentiment score
7.8
Matillion Data Productivity Cloud is stable and reliable, rated highly by users, with responsive support and minor issues resolved.
Sentiment score
7.1
Pentaho Data Integration offers reliability for small to midsize operations but may lag and freeze with complex uses.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
 

Room For Improvement

Matillion Data Productivity Cloud requires enhanced API updates, integration, customization, real-time capture, user documentation, UI management, and processing efficiency.
Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
Connections to BigQuery for extracting information are complex.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
 

Setup Cost

Matillion Data Productivity Cloud offers flexible pricing on AWS, with competitive rates and potential savings through strategic management and discounts.
Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
 

Valuable Features

Matillion Data Productivity Cloud enhances ETL efficiency with seamless AWS integration, user-friendly UI, and automatic scalability for comprehensive data management.
Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
I find the drag and drop feature in Pentaho Data Integration very useful for integration.
 

Categories and Ranking

Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
27
Ranking in other categories
Cloud Data Integration (8th)
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
Data Integration (19th)
 

Featured Reviews

Tomáš Hronek - PeerSpot reviewer
Used for wrangling or transforming data from sources like S3 and Databricks
I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…
Aqeel UR Rehman - PeerSpot reviewer
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…
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Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
859,579 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
9%
Energy/Utilities Company
5%
Financial Services Firm
21%
Computer Software Company
14%
Government
7%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
What is your experience regarding pricing and costs for Matillion ETL?
While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...
What needs improvement with Matillion ETL?
There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...
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

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Matillion Data Productivity Cloud vs. Pentaho Data Integration and Analytics and other solutions. Updated: June 2025.
859,579 professionals have used our research since 2012.