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IBM Cloud Pak for Data 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
6.9
IBM Cloud Pak for Data enhances data quality, boosts AI efficiency, reduces costs, and improves compliance for large companies.
Sentiment score
7.1
Qlik Replicate saves time and costs by automating reporting, reducing database load, and enhancing decision-making with efficient data replication.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
Director of analytics at Analytics Aura
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.
Solution Architect at Predoole Analytics
 

Customer Service

Sentiment score
7.4
IBM Cloud Pak for Data offers good support with direct contact but needs faster response times and issue resolution.
Sentiment score
5.8
Qlik Replicate's customer service is mixed, with delays and technical challenges, but proactive support and language assistance help.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
Customer support should be more responsive and reach and respond on time.
Senior Data Analyst at Wipro Limited
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
EDW Manager at a university with 1,001-5,000 employees
Even priority tickets, which should be resolved in minutes, can take days.
Director of analytics at Analytics Aura
Having a technical account manager coordinate with us proved beneficial during these interactions.
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
Support response times could be improved as there are sometimes delays in receiving replies to support cases.
Solution Architect at Predoole Analytics
 

Scalability Issues

Sentiment score
7.5
IBM Cloud Pak for Data is highly scalable, supporting large environments efficiently but may be resource-intensive with potential added costs.
Sentiment score
6.9
Qlik Replicate scales well for change data capture with proper configuration, requiring effort for optimal performance and handling increased demands.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
The system could be scaled to include more sources and functions.
Solution Architect at Predoole Analytics
We successfully scaled several of our Oracle RDBMS systems simultaneously, including PeopleSoft HR and our network access request systems.
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
 

Stability Issues

Sentiment score
7.7
IBM Cloud Pak for Data is stable with high ratings, but users seek improved scalability for diverse organizational needs.
Sentiment score
8.5
Qlik Replicate is highly stable and reliable, efficiently managing large data volumes with exceptional performance and minimal latency.
We have tracked INSERT, UPDATE, and DELETE operations effectively, capturing pre-update and post-update images, maintaining real-time replicas of information without needing to reprocess requests or datasets.
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
 

Room For Improvement

IBM Cloud Pak for Data needs better resource management, support, integration, and ease of transition to improve user experience.
Qlik Replicate encounters challenges in usability, performance, and connectivity, needing improvements in error handling, support, and integration.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
Data asset management engineer at a tech services company with 1-10 employees
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
EDW Manager at a university with 1,001-5,000 employees
I believe that having updated documentation is crucial as we encountered a scenario while going through documentation that had not been updated since 2024, which introduced risks since we rely on accurate documentation for task imports and endpoint re-credentialing considerations before reaching out to customer support.
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
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%.
Director of analytics at Analytics Aura
Currently, there are limited transformations available in Qlik Replicate which could be expanded.
Solution Architect at Predoole Analytics
 

Setup Cost

IBM Cloud Pak for Data pricing is costly for small companies, with complex licensing but competitive for large enterprises.
Qlik Replicate offers competitive, negotiable pricing appealing to enterprise users, especially larger companies, but may be costly for small businesses.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.
Solution Architect at Predoole Analytics
Licensing is calculated based on the machine's total capacity rather than actual usage.
Director of analytics at Analytics Aura
 

Valuable Features

IBM Cloud Pak for Data offers robust data management, AI-driven insights, and seamless integration with hybrid and multi-cloud environments.
Qlik Replicate offers efficient real-time data handling and CDC, featuring extensive connectors and an intuitive interface for seamless integration.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The log-based CDC engine of Qlik Replicate is the most valuable feature for us. It reads our source changes directly from the database log, providing a lightweight approach that ensures our databases, such as Oracle databases, are not burdened with additional queries.
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
This occurs in near real-time, with replication happening within seconds at the target location.
Solution Architect at Predoole Analytics
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
Director of analytics at Analytics Aura
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
23rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
Data Virtualization (3rd)
Qlik Replicate
Ranking in Data Integration
19th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.7% compared to the previous year. The mindshare of Qlik Replicate is 1.6%, down from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Qlik Replicate1.6%
IBM Cloud Pak for Data1.3%
Other97.1%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
reviewer2774796 - PeerSpot reviewer
Data Governance System Specialist at a energy/utilities company with 5,001-10,000 employees
Real-time outage insights have improved customer communication but data source support needs work
In terms of handling diverse data sources, Qlik Replicate does exhibit certain shortcomings.Other areas of Qlik Replicate that could be improved include its ability to serve as a single point tool, similar to Databricks and Azure Data Lake, depending on the kind of capabilities required. I believe that having updated documentation is crucial as we encountered a scenario while going through documentation that had not been updated since 2024, which introduced risks since we rely on accurate documentation for task imports and endpoint re-credentialing considerations before reaching out to customer support. Additionally, functionalities for running standardized data quality rules and validation logic, along with exception monitoring similar to what is available in Databricks, would be beneficial for users. While Qlik Replicate is scalable, I find there are limitations. When deploying a tool, it can be centralized, decentralized, or federated, depending on the organization's control and responsibility preferences. We successfully scaled several of our Oracle RDBMS systems simultaneously, including PeopleSoft HR and our network access request systems. However, addressing the shortcomings we discussed would enhance its competitiveness in the market.
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Manufacturing Company
9%
Computer Software Company
8%
Government
4%
Financial Services Firm
16%
Insurance Company
10%
Manufacturing Company
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Large Enterprise12
By reviewers
Company SizeCount
Small Business9
Large Enterprise11
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...
What needs improvement with IBM Cloud Pak for Data?
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
What is your primary use case for IBM Cloud Pak for Data?
The main use case for IBM Cognos is for business intelligence and reporting.
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

Cloud Pak for Data
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about IBM Cloud Pak for Data vs. Qlik Replicate and other solutions. Updated: February 2026.
881,707 professionals have used our research since 2012.