IBM Cloud Pak for Data vs Qlik Replicate comparison

IBM and Qlik are both solutions in the Data Integration category. IBM is ranked #23 with an average rating of 7.7, while Qlik is ranked #19 with an average rating of 8.0. IBM holds a 1.3% mindshare in DI, compared to Qlik’s 1.7% mindshare. Additionally, 88% of IBM users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

IBM Cloud Pak for Data

Read 15 IBM Cloud Pak for Data reviews

2,163 Views
2,033 Comparison Views

88% willing to recommend

Qlik Replicate

Read 19 Qlik Replicate reviews

3,886 Views
2,798 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Qlik Replicate

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 19, 2024

Qlik Replicate and IBM Cloud Pak for Data both compete in the data integration and management space. Qlik Replicate seems to have the upper hand due to its strong real-time data capture and replication capabilities.

Features: Qlik Replicate is noted for its real-time change data capture, seamless data replication without impacting source databases, and strong data manipulation capabilities. It also offers easy data integration across various endpoints with robust logging functionalities. IBM Cloud Pak for Data stands out with advanced data preparation, AI integration through Watson Studio, and strong data governance via Knowledge Catalog. Its data virtualization feature enables efficient data analysis and connection to multiple data sources.

Room for Improvement: Qlik Replicate could enhance error message clarity, user interface, and connectivity with multiple data destinations. It also requires improvements in support services and API handling. IBM Cloud Pak for Data needs a more streamlined setup and deployment process, expanded connector availability, and better handling of heavy infrastructure demands. Enhancements in performance and support for diverse connectors are also necessary.

Ease of Deployment and Customer Service: Qlik Replicate functions well across public and on-premises environments and is generally praised for proactive support, though response times can improve. IBM Cloud Pak for Data primarily supports public and hybrid clouds but faces challenges with its user interface and infrastructure needs. Its customer service requires quick and decisive improvement.

Pricing and ROI: Qlik Replicate is viewed as costly for small businesses, with a core-based licensing model favoring large data sets but discouraging smaller deployments. Despite high costs, it offers ROI through reduced database usage and maintenance. IBM Cloud Pak for Data targets larger enterprises with high costs linked to advanced functionalities like AI, and is regarded as complex in pricing, yet it promises ROI via time-saving and operational efficiency.

To learn more, read our detailed IBM Cloud Pak for Data vs. Qlik Replicate Report (Updated: December 2025).

Buyer's Guide

IBM Cloud Pak for Data vs. Qlik Replicate

December 2025

Download the complete report

Helped 881,082 peers since 2012

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

6.5

IBM Cloud Pak for Data helps large enterprises improve data quality, boosting AI processes and enhancing decision-making productivity.

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.

ArchanaSingh

Senior Data Analyst at Wipro

For more quotes and insights, download the IBM Cloud Pak for Data report

I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.

SivanandamKrishnan

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.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Customer Service

Sentiment score

7.7

IBM Cloud Pak for Data's support is responsive and available 24/7, despite some delays due to system complexity.

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.

Michelle Leslie

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.

ArchanaSingh

Senior Data Analyst at Wipro

IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.

reviewer2648136

EDW Manager at a university with 1,001-5,000 employees

For more quotes and insights, download the IBM Cloud Pak for Data report

Even priority tickets, which should be resolved in minutes, can take days.

SivanandamKrishnan

Director of analytics at Analytics Aura

Having a technical account manager coordinate with us proved beneficial during these interactions.

reviewer2774796

Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees

Support response times could be improved as there are sometimes delays in receiving replies to support cases.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Scalability Issues

Sentiment score

7.4

IBM Cloud Pak for Data is praised for impressive scalability and compatibility, despite being resource-intensive, with ratings mostly 8-10.

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.

ArchanaSingh

Senior Data Analyst at Wipro

For more quotes and insights, download the IBM Cloud Pak for Data report

The system could be scaled to include more sources and functions.

Shraddha Waghulde

Solution Architect at Predoole Analytics

We successfully scaled several of our Oracle RDBMS systems simultaneously, including PeopleSoft HR and our network access request systems.

reviewer2774796

Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees

For more quotes and insights, download the Qlik Replicate report

Stability Issues

Sentiment score

7.5

IBM Cloud Pak for Data is generally stable and well-rated, with users emphasizing scalability despite minor tool integration concerns.

Sentiment score

8.5

Qlik Replicate is highly stable and reliable, efficiently managing large data volumes with exceptional performance and minimal latency.

No quotes available

For more quotes and insights, download the IBM Cloud Pak for Data report

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.

reviewer2774796

Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees

For more quotes and insights, download the Qlik Replicate report

Room For Improvement

IBM Cloud Pak for Data needs better integration, support, features, and pricing to attract small businesses and simplify adoption.

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.

ArchanaSingh

Senior Data Analyst at Wipro

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.

Michelle Leslie

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.

reviewer2648136

EDW Manager at a university with 1,001-5,000 employees

For more quotes and insights, download the IBM Cloud Pak for Data report

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.

reviewer2774796

Data Governance System Specialist at a energy/utilities company with 1,001-5,000 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%.

SivanandamKrishnan

Director of analytics at Analytics Aura

Currently, there are limited transformations available in Qlik Replicate which could be expanded.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Setup Cost

IBM Cloud Pak for Data's high pricing and complexity make it more suitable for large enterprises than smaller companies.

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.

Michelle Leslie

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.

ArchanaSingh

Senior Data Analyst at Wipro

For more quotes and insights, download the IBM Cloud Pak for Data report

For Qlik Replicate, the setup cost includes the requirement of a server, which represents the hardware cost that must be covered.

Shraddha Waghulde

Solution Architect at Predoole Analytics

Licensing is calculated based on the machine's total capacity rather than actual usage.

SivanandamKrishnan

Director of analytics at Analytics Aura

For more quotes and insights, download the Qlik Replicate report

Valuable Features

IBM Cloud Pak for Data excels with data virtualization, low-code navigation, robust security, and efficient data integration and collaboration.

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.

ArchanaSingh

Senior Data Analyst at Wipro

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.

reviewer2648136

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.

Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

For more quotes and insights, download the IBM Cloud Pak for Data report

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.

reviewer2774796

Data Governance System Specialist at a energy/utilities company with 1,001-5,000 employees

This occurs in near real-time, with replication happening within seconds at the target location.

Shraddha Waghulde

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.

SivanandamKrishnan

Director of analytics at Analytics Aura

For more quotes and insights, download the Qlik Replicate report

Categories and Ranking

IBM Cloud Pak for Data

Ranking in Data Integration

23rd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.6% compared to the previous year. The mindshare of Qlik Replicate is 1.7%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Qlik Replicate	1.7%
IBM Cloud Pak for Data	1.3%
Other	97.0%

Data Integration

Featured Reviews

Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. 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. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

Read full review

Shraddha Waghulde

Solution Architect at Predoole Analytics

Real-time data synchronization faces challenges with monitoring and affordability

The user-friendly interface in Qlik Replicate simplifies configuration and management of replication tasks because it is based on GUI, and users don't have to write any scripts. It is entirely drag and drop functionality. Even with zero knowledge of scripting, users can effectively use Qlik Replicate. The most valuable feature of Qlik Replicate is their change data capture feature. As soon as data is entered into the source, it gets captured at target locations. This occurs in near real-time, with replication happening within seconds at the target location. Additionally, whatever operations are performed at the source, whether adding data, deleting data, or updating anything, it gets replicated at target locations. It functions as data injection from source to target, ensuring all operations performed on the source system are replicated on target systems.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

26%

Manufacturing Company

10%

Computer Software Company

Government

Financial Services Firm

16%

Insurance Company

11%

Manufacturing Company

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	9
Large Enterprise	11

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...

See all answers

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.

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

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 ...

See all answers

Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 39% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 8% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 7% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 6% of the time

More IBM Cloud Pak for Data Competitors

AWS Database Migration Service vs Qlik Replicate

Compared 14% of the time

Oracle GoldenGate vs Qlik Replicate

Compared 13% of the time

SSIS vs Qlik Replicate

Compared 7% of the time

Qlik Compose vs Qlik Replicate

Compared 6% of the time

Fivetran vs Qlik Replicate

Compared 5% of the time

More Qlik Replicate Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

January 2026

Download IBM Cloud Pak for Data product report

Buyer's Guide

Qlik Replicate

January 2026

Download Qlik Replicate product report

Also Known As

Cloud Pak for Data

Replicate, Qlik Replicate

Overview

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.

Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.

Qlik

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare

Buyer's Guide

IBM Cloud Pak for Data vs. Qlik Replicate

December 2025

Free Report: IBM Cloud Pak for Data vs. Qlik Replicate

Find out what your peers are saying about IBM Cloud Pak for Data vs. Qlik Replicate and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,082 professionals have used our research since 2012.

See our IBM Cloud Pak for Data vs. Qlik Replicate report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.