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Oracle Integration Cloud Service 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
8.3
Oracle Integration Cloud Service provides substantial ROI through autonomous services that reduce development time and operational overhead.
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
5.5
Oracle Integration Cloud Service's support has mixed reviews, noting delays, inconsistencies, and expertise issues, but high-priority issues get fast assistance.
Sentiment score
5.2
Users rely on community support over customer service due to mixed experiences, despite responsive technical support and Hitachi's involvement.
 

Scalability Issues

Sentiment score
7.8
Oracle Integration Cloud Service scales well and is versatile, but has data size limitations and occasional performance issues.
Sentiment score
7.3
Pentaho excels in scalability and efficient data handling but faces challenges with exceptionally large data and complex growth scenarios.
Pentaho Data Integration handles larger datasets better.
 

Stability Issues

Sentiment score
8.1
Oracle Integration Cloud Service is stable and reliable, with occasional downtime and performance issues, rated 7-10 out of 10.
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

Oracle Integration Cloud Service needs better AI integration, enhanced tools, reduced costs, improved support, comprehensive documentation, and flexible pricing.
Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
 

Setup Cost

Oracle Integration Cloud Service offers predictable pricing with various models and discounts, but costs can increase with extensive customization.
Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
 

Valuable Features

Oracle Integration Cloud Service offers scalable, user-friendly integration with robust error handling, pre-built APIs, and low-code capabilities for ease of use.
Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
I find the drag and drop feature in Pentaho Data Integration very useful for integration.
 

Categories and Ranking

Oracle Integration Cloud Se...
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
36
Ranking in other categories
Integration Platform as a Service (iPaaS) (3rd)
Pentaho Data Integration an...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
Data Integration (23rd)
 

Mindshare comparison

Oracle Integration Cloud Service and Pentaho Data Integration and Analytics aren’t in the same category and serve different purposes. Oracle Integration Cloud Service is designed for Integration Platform as a Service (iPaaS) and holds a mindshare of 8.5%, down 11.0% compared to last year.
Pentaho Data Integration and Analytics, on the other hand, focuses on Data Integration, holds 1.4% mindshare, up 0.5% since last year.
Integration Platform as a Service (iPaaS)
Data Integration
 

Featured Reviews

Arun Andavar Nagarajan - PeerSpot reviewer
Integrates well , reasonably priced, feature-rich, and has helpful technical support
In terms of improvement, debugging and error handling, Oracle can be much more user-friendly on this, because clients must provide a much more error handling framework, which is a monitoring framework, that is much better. The current one has some level of monitoring, but then there are retrying mechanisms, automatically retrying mechanisms and error recovery mechanisms. Those things need to be greatly improved; they have something, but it is very basic. The error retrying mechanism could be improved. If an error occurs, it can be retried automatically, it would be helpful. Resilience can be enhanced. The migration flow has to improve. They have some kind of agent connecting with the on-premise systems. We need to simplify the process of connecting with non-cloud applications. If you have to connect to some servers from this cloud to non-cloud, that is a bit of a hassle. They now have something called an agent for those, but they can simplify it, and the error frameworks can be implemented much more effectively.
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
46%
Computer Software Company
8%
Financial Services Firm
7%
Manufacturing Company
5%
Financial Services Firm
21%
Computer Software Company
15%
Government
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What's the difference between Oracle Integration Cloud Service and Oracle Data Integrator (ODI)?
Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that c...
What do you like most about Oracle Integration Cloud Service?
Oracle Integration Cloud Service offers a lot of adaptors.
What is your experience regarding pricing and costs for Oracle Integration Cloud Service?
It is not really a high price for the value it gives. However, when you start doing the customization, it’s a bit expensive because I need to start provisioning other services before deployment. So...
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

Oracle ICS
Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
 

Overview

 

Sample Customers

Calix, Avaya, Land Lakes, Leader, PWC, Vale
66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
Find out what your peers are saying about Oracle Integration Cloud Service vs. Pentaho Data Integration and Analytics and other solutions. Updated: July 2023.
838,737 professionals have used our research since 2012.