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Pentaho Data Integration and Analytics vs Qlik Replicate 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
8.1
Qlik Replicate boosts efficiency by automating reporting, reducing costs, and accelerating data access for faster decision-making.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Customers have seen ROI with Qlik Replicate because they get their data for analysis faster, enabling quicker decision-making compared to traditional data sourcing methods.
 

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
5.7
Qlik Replicate's support varies; clear communication helps, but users often face delays compared to more straightforward tools like HVR.
Communication with the vendor is challenging
Even priority tickets, which should be resolved in minutes, can take days.
Support response times could be improved as there are sometimes delays in receiving replies to support cases.
 

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
6.9
Qlik Replicate is scalable and flexible, benefiting medium organizations, but requires careful configuration and memory management for performance.
Pentaho Data Integration handles larger datasets better.
The system could be scaled to include more sources and functions.
 

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
8.5
Qlik Replicate is stable, efficiently handles large data, and users rate its reliability highly, despite minor API concerns.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
 

Room For Improvement

Pentaho needs improvements in big data performance, error handling, UI, scheduling, backward compatibility, cloud integration, and Python support.
Qlik Replicate needs UI improvements, clearer pricing, better performance, increased automation, enhanced support, and expanded features and marketing.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
Currently, there are limited transformations available in Qlik Replicate which could be expanded.
 

Setup Cost

Pentaho offers a cost-effective solution with its free Community Edition and affordable subscription-based Enterprise Edition for varying needs.
Qlik Replicate is competitively priced compared to GoldenGate, but can be costly for smaller businesses with machine capacity-based pricing.
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
Licensing is calculated based on the machine's total capacity rather than actual usage.
 

Valuable Features

Pentaho provides an intuitive, open-source platform for efficient ETL development and data integration with minimal coding and broad compatibility.
Qlik Replicate efficiently transforms data in real-time, offering ease of use, comprehensive support, and seamless integration for dynamic management.
It's easy to use and friendly, especially for larger data sets.
This occurs in near real-time, with replication happening within seconds at the target location.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
 

Categories and Ranking

Pentaho Data Integration an...
Ranking in Data Integration
19th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
53
Ranking in other categories
No ranking in other categories
Qlik Replicate
Ranking in Data Integration
16th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of Pentaho Data Integration and Analytics is 1.8%, up from 0.7% compared to the previous year. The mindshare of Qlik Replicate is 3.0%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

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…
KrishnaBaddam - PeerSpot reviewer
Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships
Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
14%
Government
7%
Manufacturing Company
5%
Financial Services Firm
18%
Insurance Company
11%
Computer Software Company
10%
Manufacturing Company
9%
 

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 Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs. Currently, log monitoring is not easily accessible, so there should be improvement...
What is your primary use case for Qlik Replicate?
My customer's main use case for Qlik Replicate is with one of the payment banks in India. We have implemented this Replicate project for their source data migration to cloud solutions. They wanted ...
 

Also Known As

Hitachi Lumada Data Integration, Kettle, Pentaho Data Integration
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

66Controls, Providential Revenue Agency of Ro Negro, NOAA Information Systems, Swiss Real Estate Institute
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about Pentaho Data Integration and Analytics vs. Qlik Replicate and other solutions. Updated: May 2025.
858,435 professionals have used our research since 2012.