IBM Cloud Pak for Data vs Qlik Replicate comparison

IBM and Qlik are both solutions in the Data Integration category. IBM is ranked #15 with an average rating of 8.6, while Qlik is ranked #24 with an average rating of 8.5. IBM holds a 1.1% mindshare in DI, compared to Qlik’s 1.3% mindshare. Additionally, 92% 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 22 IBM Cloud Pak for Data reviews

3,277 Views
3,015 Comparison Views

92% willing to recommend

Qlik Replicate

Read 18 Qlik Replicate reviews

4,804 Views
3,651 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Qlik Replicate

Comparison Buyer's Guide

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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: June 2026).

Buyer's Guide

IBM Cloud Pak for Data vs. Qlik Replicate

June 2026

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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

5.1

Users see improved efficiency and ROI with IBM Cloud Pak for Data, streamlining management and boosting compliance and satisfaction.

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 Limited

It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.

Nikolas Vulai

Engineer at Turner Construction

It has given my teams an edge in data management through automation while adhering to compliance regulations.

Raman Shihan

Sr. Data Engineer at a tech vendor with 10,001+ employees

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

7.1

IBM Cloud Pak for Data's support is responsive, rated highly, and cost-effective, but lacks local language options and has occasional delays.

Sentiment score

5.8

Qlik Replicate's customer service is mixed, with delays and technical challenges, but proactive support and language assistance help.

I rate the technical support from IBM a nine out of ten because the support has been very top-notch, unparalleled, and also very professional.

HarryJude

Manager at teshama

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

The customer support for IBM Cloud Pak for Data is great and responsive.

Nikolas Vulai

Engineer at Turner Construction

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

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

6.6

IBM Cloud Pak for Data is scalable, efficiently managing growth and large data, with high resource use noted.

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 Limited

IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.

Nikolas Vulai

Engineer at Turner Construction

For scalability, I rate it a nine out of ten because it is a very scalable solution that has been able to handle my organization's growth efficiently.

HarryJude

Manager at teshama

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

For more quotes and insights, download the Qlik Replicate report

Stability Issues

Sentiment score

7.8

IBM Cloud Pak for Data is stable with positive performance and integration, though scalability improvements are desired by some users.

Sentiment score

8.5

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

The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.

Khaled AlKadi

Sales Director at Jordan Business Systems

IBM Cloud Pak for Data is stable.

Raman Shihan

Sr. Data Engineer at a tech vendor with 10,001+ employees

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

No quotes available

For more quotes and insights, download the Qlik Replicate report

Room For Improvement

IBM Cloud Pak for Data needs better integration, enhanced performance, simplified setup, cost management, and improved analytics for broader 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 Limited

IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.

Nikolas Vulai

Engineer at Turner Construction

To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.

Eunice Romper

Senior Project Manager at EY

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

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

Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs.

Shraddha Waghulde

Solution Architect at Predoole Analytics

For more quotes and insights, download the Qlik Replicate report

Setup Cost

IBM Cloud Pak for Data is costly, suitable for large enterprises, with pricing based on usage and deployment.

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 Limited

The list price is high, but the flexibility in pricing is adequate.

Bálint Tóth

Solution Manager at Intalion

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

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

SivanandamKrishnan

Director of analytics at Analytics Aura

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

For more quotes and insights, download the Qlik Replicate report

Valuable Features

IBM Cloud Pak for Data enhances productivity with AI tools, data governance, and seamless integration across 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.

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

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

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 Limited

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

The most valuable feature of Qlik Replicate is their change data capture feature.

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

15th

Average Rating

8.2

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Qlik Replicate

Ranking in Data Integration

24th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.1%, down from 1.8% compared to the previous year. The mindshare of Qlik Replicate is 1.3%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
IBM Cloud Pak for Data	1.1%
Qlik Replicate	1.3%
Other	97.6%

Data Integration

Featured Reviews

Raman Shihan

Sr. Data Engineer at a tech vendor with 10,001+ employees

Unified data workflows have transformed how I manage sensitive analytics and end-to-end AI

One of the things that IBM Cloud Pak for Data does well is the data privacy and security that it offers. Since most of my data is very sensitive, IBM privacy framework helps me secure it very conveniently. In my experience, some of the best features that I encounter in IBM Cloud Pak for Data are the AI and Watson Assistant, which is very good. The analytics dashboard featuring all the recent history is very good with IBM. Searching for data through the unified search option is super cool. Among those features, the artificial intelligence that solves everything automatically stands out as most valuable in my day-to-day work, saving a lot of time. I can also store my data in many clouds with all the desired data. The customer service system is excellent and always willing to help. I would also add that the project analytics dashboard, ability to manage data across different cloud platforms, and end-to-end AI lifecycle are very great. IBM Cloud Pak for Data has positively impacted my organization by helping me see some return on investments. I have the ability to access all my data much quicker through the unified search option. It has also improved data security and governance in my organization very well. I've seen a 30% increase in productivity through the introduction of AI with IBM Cloud Pak for Data, which has really simplified a lot of operations that were manually tackled.

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

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

10%

Computer Software Company

University

Financial Services Firm

15%

Manufacturing Company

11%

Insurance Company

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	9
Large Enterprise	12

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

My experience with pricing, setup cost, and licensing is that the cost of the product can be a bit higher, especially for a company working on a tight budget.

See all answers

What needs improvement with IBM Cloud Pak for Data?

One of the improvements I think should be made to IBM Cloud Pak for Data is that the cost of the product is a bit higher. Besides cost, I think something that is needed for improvement is that more...

See all answers

What is your primary use case for IBM Cloud Pak for Data?

My main use case for IBM Cloud Pak for Data is that it is fully scalable and a scalable platform for data. I use it to provide data solutions for my customers. I also use it to provide various indu...

See all answers

What needs improvement with Qlik Replicate?

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,...

See all answers

What is your primary use case for Qlik Replicate?

My usual use cases for Qlik Replicate involve my previous organization and my current organization. I can provide my current experience. As an Australian energy provider, we have a lot of operation...

See all answers

What advice do you have for others considering Qlik Replicate?

The usefulness of the self-service interface of Qlik Replicate lies in its ability for users to independently access fresh data from the data lake or downstream SQL systems or ODS systems without n...

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Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 15% of the time

SAP HANA vs IBM Cloud Pak for Data

Compared 6% of the time

Import.io vs IBM Cloud Pak for Data

Compared 6% of the time

Denodo vs IBM Cloud Pak for Data

Compared 6% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 6% of the time

More IBM Cloud Pak for Data Competitors

Oracle GoldenGate vs Qlik Replicate

Compared 7% of the time

AWS Database Migration Service vs Qlik Replicate

Compared 6% of the time

SSIS vs Qlik Replicate

Compared 5% of the time

SharePlex vs Qlik Replicate

Compared 4% of the time

Qlik Compose vs Qlik Replicate

Compared 4% of the time

More Qlik Replicate Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

June 2026

Download IBM Cloud Pak for Data product report

Buyer's Guide

Qlik Replicate

June 2026

Download Qlik Replicate product report

Also Known As

Cloud Pak for Data

Replicate, Qlik Replicate

Overview

IBM Cloud Pak for Data is a comprehensive platform integrating data management, AI, and machine learning capabilities tailored for hybrid environments. It's renowned for enhancing productivity through efficient data analytics and management.

This platform offers data virtualization, robust analytics, and AI-driven processes. Its integration capabilities, including IBM MQ and App Connect, facilitate seamless data connections. Users benefit from containerization, data governance, and compatibility with hybrid systems, improving decision-making and management productivity. However, the requirement of extensive infrastructure and performance challenges can impact scalability for small businesses.

What are the key features of IBM Cloud Pak for Data?

Watson Knowledge Catalog: Organizes data for accessibility and insight extraction.
Data Virtualization: Provides a unified data view across sources without copying data.
Robust Analytics: Offers advanced analytics tools for data-driven decision-making.
Integration Capabilities: Includes IBM MQ and App Connect for seamless data integration.
AI and Machine Learning: Supports AI-driven insights and learning models.

What benefits or ROI should users expect?

Enhanced Productivity: Streamlines data management processes, enhancing efficiency.
Better Business Decisions: Utilizes analytics for informed strategic choices.
Improved Data Governance: Ensures compliance and quality in data handling.
Collaboration: Encourages teamwork with a comprehensive platform supporting analytics.

In the financial and banking sectors, IBM Cloud Pak for Data is utilized for data management tasks like spend analytics and contract leakage analysis. It's used for data integration, machine learning, and AI-driven analytics to transform data into valuable insights in industries such as FinTech and consultancy.

IBM

Qlik Replicate offers log-based change data capture, supporting real-time data updates without affecting source databases. It manages schema changes automatically and ensures seamless data distribution. The platform is user-friendly, enables late-stage transformation, and supports incremental replication and real-time analytics.

Qlik Replicate is known for efficiently capturing data changes with minimal impact on source databases. Its log-based change data capture capabilities ensure quick propagation of updates in real-time while automatically handling schema changes, facilitating ease in data management. The system's seamless integration across endpoints and a user-friendly interface make it an invaluable tool for incremental replication and real-time analytics. Despite some challenges like UI freezing, complex licensing, and error handling, it is instrumental in enhancing business growth and operational efficiency. Users continuously seek improvements in error insights, data compression, and expanded API integration to better serve diverse data sources and platforms.

What are the key features of Qlik Replicate?

Log-Based Change Data Capture: Captures data changes in real-time without heavy loads.
Automatic Schema Handling: Manages schema changes seamlessly.
Platform Integration: Integrates well with platforms like AWS and Snowflake.
User-Friendly Interface: Offers a simple and intuitive interface.
Real-Time Analytics: Enables immediate data insights for business growth.

What benefits should users expect from Qlik Replicate?

Improved Data Accessibility: Enhances access to data for decision-making.
Automation in Data Modeling: Automates repetitive tasks, saving time.
Efficient Change Data Capture: Reduces downtime and increases efficiency.
Streamlined Data Pipelines: Facilitates smoother data transfers.

Qlik Replicate is used across industries such as energy, banking, and semiconductors to modernize analytics environments and streamline data flows. It excels in data migration from systems like SAP HANA and Oracle to environments like AWS, significantly reducing downtime and boosting analytics capabilities. Organizations report advantages such as enhanced data accessibility and automated data modeling, which facilitates efficient change data capture and operational effectiveness.

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

June 2026

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