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MuleSoft Anypoint Platform vs Pentaho Data Integration and Analytics 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:
 

ROI

Sentiment score
6.7
MuleSoft Anypoint Platform reduces costs, modernizes legacy systems, and ensures ROI for enterprises, with variable outcomes for smaller companies.
Sentiment score
7.9
Pentaho offers cost-effective integration, reducing ETL time, lowering expenses, and enhancing competitiveness with open-source flexibility and efficiency.
 

Customer Service

Sentiment score
6.7
MuleSoft Anypoint Platform offers responsive customer service, excelling for premium users, though mixed opinions exist on availability and documentation.
Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
The Salesforce team offers different levels of support.
Communication with the vendor is challenging
 

Scalability Issues

Sentiment score
7.8
MuleSoft Anypoint is scalable for medium to large enterprises, handling workloads efficiently but with noted costs and limitations.
Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
MuleSoft provides the ability to scale, yet it is costly to do so.
Pentaho Data Integration handles larger datasets better.
 

Stability Issues

Sentiment score
7.9
MuleSoft Anypoint Platform is stable and reliable, with some limitations in scalability and issues with connectors and Java troubleshooting.
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

Users seek enhanced support, simpler setup, better integration, improved documentation, AI capabilities, and cost reduction for MuleSoft Anypoint Platform.
Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
MuleSoft is considered expensive, so pricing is a major concern.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
 

Setup Cost

MuleSoft Anypoint Platform is complex and costly, with high prices but potential savings for large-scale usage and pay-as-you-go options.
Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
MuleSoft is considered one of the more expensive products in the market.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
 

Valuable Features

MuleSoft Anypoint Platform excels in API management, integration, scalability, and user-friendly deployment with strong support and security features.
Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
It's easy to use and friendly, especially for larger data sets.
 

Categories and Ranking

MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
57
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (1st), Workload Automation (9th), Cloud Data Integration (4th), Integration Platform as a Service (iPaaS) (2nd)
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
Data Integration (24th)
 

Featured Reviews

Vijay Subramanyam - PeerSpot reviewer
Robust, reliable, and stable, ensuring high availability for critical integrations
I would rate the scalability an eight out of ten; it is a highly scalable solution. We have around 200 end users using this solution in our company. We use it to its maximum capacity. However, it's not for P1 applications, but definitely for severity two cases (P2 level). It integrates critical applications, but it's not a platform that, if it stops, the entire system would come down. So, it's more like a severity two level. However, it has the potential to eventually become a P1 platform. Not exactly P1 applications, but a P1 platform. Because now we are still in the transition to migrate everything, all the integrations to Mule Anypoint Platform. But once it's done, then this platform becomes critical. Because even now, we have point-to-point connections.
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
Educational Organization
24%
Computer Software Company
13%
Financial Services Firm
10%
Manufacturing Company
8%
Financial Services Firm
22%
Computer Software Company
14%
Government
7%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What advice do you have for others considering Mule Anypoint Platform?
I architected solutions using Oracle SOA/OSB, Spring Boot, MuleSoft Anypoint Platform on cloud / on-premises and hybrid modes; What I see is though if you are an enterprise and have enough money th...
How does TIBCO BusinessWorks compare with Mule Anypoint Platform?
Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule...
What can Mule Anypoint Platform be used for and what do you use it for most often?
This is a very flexible solution that comes with multiple uses. My organization mostly uses Mule Anypoint Platform for API management, as it lets us build new APIs easily and design new interfaces...
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

Data Integrator, Anypoint MQ
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about MuleSoft Anypoint Platform vs. Pentaho Data Integration and Analytics and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.