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Pentaho Data Integration and Analytics vs SnapLogic 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

Sentiment score
7.9
Pentaho offers cost-effective integration, reducing ETL time, lowering expenses, and enhancing competitiveness with open-source flexibility and efficiency.
Sentiment score
8.3
SnapLogic delivers significant time savings, improved efficiency, cost-effectiveness, and enhanced data analytics, driving better business decisions and ROI.
 

Customer Service

Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
Sentiment score
6.8
SnapLogic support receives mixed reviews; users praise responsiveness, yet others cite delays and insufficient expertise, impacting overall satisfaction.
Communication with the vendor is challenging
The technical support from SnapLogic is excellent, and I would give it a complete ten.
 

Scalability Issues

Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
Sentiment score
7.3
SnapLogic offers flexible scalability, effective in diverse scenarios, though some users experienced initial challenges and suggest potential improvements.
Pentaho Data Integration handles larger datasets better.
I rate the scalability of SnapLogic as eight out of ten.
 

Stability Issues

Sentiment score
7.1
Pentaho Data Integration offers reliability for small to midsize operations but may lag and freeze with complex uses.
Sentiment score
7.4
SnapLogic is considered stable and reliable with minor upgrade challenges, but some prefer Boomi due to support issues.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
I would rate the stability of SnapLogic as nearly ten out of ten.
 

Room For Improvement

Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
SnapLogic needs to enhance integrations, API management, debugging, customization, real-time processing, and AI features for improved usability.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
 

Setup Cost

Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
SnapLogic offers competitive pricing based on nodes and usage, valued for functionality in complex integrations without coding.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
 

Valuable Features

Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
SnapLogic offers a low-code interface, extensive connectivity, and efficient automation, simplifying complex integrations with robust tools and fast deployment.
I find the drag and drop feature in Pentaho Data Integration very useful for integration.
I also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
 

Categories and Ranking

Pentaho Data Integration an...
Ranking in Data Integration
22nd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
No ranking in other categories
SnapLogic
Ranking in Data Integration
21st
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
24
Ranking in other categories
Process Automation (15th), Cloud Data Integration (12th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of March 2025, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.4%, up from 0.5% compared to the previous year. The mindshare of SnapLogic is 1.6%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

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.
VinethSuresh - PeerSpot reviewer
Achieves rapid results in data migration and has an intuitive user interface
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL. The interface is interactive, allowing me to quickly learn how to run pipelines and achieve production-ready results swiftly. This agility translates to cost savings, especially for smaller projects and proofs of concept, as less time and effort are needed to deliver results.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Government
8%
Comms Service Provider
5%
Financial Services Firm
26%
Manufacturing Company
11%
Computer Software Company
9%
Real Estate/Law Firm
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about SnapLogic?
Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently.
What needs improvement with SnapLogic?
I am quite happy with the solution and do not have specific requirements at the moment. I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive...
What is your primary use case for SnapLogic?
I mainly use it for data integration and some API tasks.
 

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
DataFlow
 

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
Find out what your peers are saying about Pentaho Data Integration and Analytics vs. SnapLogic and other solutions. Updated: February 2025.
839,422 professionals have used our research since 2012.