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Pentaho Data Integration and Analytics vs SnapLogic comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Customer Service

No sentiment score available
Sentiment score
8.5
SnapLogic's customer service is seen as responsive by some, but others report delays and insufficient support knowledge.
 

Room For Improvement

No sentiment score available
Sentiment score
6.2
SnapLogic needs improvements in complex processing, data flow transparency, API monitoring, user dashboards, support, debugging, and high-volume data handling.
 

Scalability Issues

No sentiment score available
Sentiment score
8.0
SnapLogic is praised for cloud scalability, user-friendly setup, and flexible resource allocation, though some face initial setup challenges.
 

Setup Cost

No sentiment score available
Sentiment score
6.5
SnapLogic offers reasonable, consumption-based pricing that remains affordable despite recent increases, especially compared to competitors.
 

Stability Issues

No sentiment score available
Sentiment score
7.5
SnapLogic is generally stable with minimal bugs and downtime, though some users experience availability issues and job failures with large data.
 

Valuable Features

No sentiment score available
Sentiment score
8.8
SnapLogic provides an intuitive, hybrid deployment platform with low-code development, seamless app integration, high data transfer, and extensive API management.
 

Categories and Ranking

Pentaho Data Integration an...
Ranking in Data Integration
30th
Average Rating
8.0
Reviews Sentiment
5.8
Number of Reviews
51
Ranking in other categories
No ranking in other categories
SnapLogic
Ranking in Data Integration
24th
Average Rating
7.8
Reviews Sentiment
7.7
Number of Reviews
22
Ranking in other categories
Process Automation (16th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (10th)
 

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.
Selva Dhoom - PeerSpot reviewer
Automates manual activities and has helpful documentation that allows users to self-study
What could be improved in SnapLogic is that it was not capable in terms of processing a large number of datasets, but at that point, SnapLogic was evolving. It didn't give a lot of Snaps. I heard recently there are a lot of Snaps getting added and the solution was being enhanced, particularly to connect different data sources. When I was working with SnapLogic six months to one year back, I faced the issue of it not being capable of handling a huge volume of datasets or didn't have much of Snaps, and that was the drawback. If there is any large number of data sets, that's based on or depends on your configuration. If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data. Informatica, Talend, or any other ETL tool can run for hours in terms of jobs, while SnapLogic jobs fail when the threshold is reached. SnapLogic isn't able to withstand processing, but I don't know if that's still an issue at present, because the solution is getting enhanced and it's been more than six months to one year since I last worked with SnapLogic. There are now a lot of Snaps getting added to the solution, and if it can overcome the limitations I mentioned, SnapLogic could be the go-to tool because currently, it's not being used as much in organizations. It's being used comparatively less compared to other retail tools.
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
14%
Government
7%
Comms Service Provider
5%
Financial Services Firm
25%
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?
The biggest issue we have faced in our company with SnapLogic is regarding the EDI format. For instance, suppose if 20 EDIs are shortlisted then SnapLogic will convert and provide only those specif...
What is your primary use case for SnapLogic?
In our company, we used the solution to build a SnapLogic pipeline in a non-production environment. Presently, our company is releasing it to the production environment. We have used SnapLogic in o...
 

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: November 2024.
816,406 professionals have used our research since 2012.