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  3. IBM Cloud Pak for Data
Logo of IBM Cloud Pak for Data

IBM Cloud Pak for Data

byIBM
in
4.6
Market Presence: Data Integration Tools, Data Preparation Tools

Overview

Product Information on IBM Cloud Pak for Data

Updated 13th October 2025

What is IBM Cloud Pak for Data?

IBM Cloud Pak for Data is a software designed to assist organizations with data integration, governance, and analytics. The software provides a unified platform that enables users to collect, organize, and analyze data from various sources. It supports capabilities such as data virtualization, machine learning model deployment, and metadata management. Users can benefit from tools for automating data preparation, cataloging assets, and managing data privacy and quality. IBM Cloud Pak for Data addresses challenges related to managing complex and distributed data environments by delivering a scalable solution for accessing, deploying, and monitoring data workflows across on-premises and cloud infrastructures.

IBM Cloud Pak for Data Pricing

IBM Cloud Pak for Data software is offered through a subscription-based pricing model, which typically charges based on usage, capacity, or number of virtual processor cores. The software may include different tiers or editions, where features and support can vary depending on the selected plan. Additional costs may apply for optional modules, integrations, or specific deployment configurations.

Overall experience with IBM Cloud Pak for Data

IT SPECIALIST
<50M USD, Banking
FAVORABLE

“Migration to Cloud Pak Enabled Greater Data Flow Modernization and Integration”

5.0
Jul 1, 2025
We started from legacy set of unsupported Data Manager jobs and then we have migrated them to onpremisses Datastage. Cloud Pak for Data was the natural next step for us , it gave us the opportunity to modernize our inherited data flows even more, and build new greenfield solutions. The consulting team was crucial on this process and gave us confidence to keep going.
There are no reviews in this category.
CRITICAL

About Company

Company Description

Updated 15th January 2024

IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.

Company Details

Updated 15th January 2024
Company type
Public
Year Founded
1911
Head office location
Armonk, New York, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.ibm.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: IBM Cloud Pak for Data
Performance of IBM Cloud Pak for Data Across Market Features

IBM Cloud Pak for Data Likes & Dislikes

Like

It can be integrated with existing ecosystems, such as Control-M to orchestrate complex scheduling needs, and Windows AD to leverage existing access governance. Beyond that, its practical and robust, capable of handling complex business scenarios.

Like

All in One , Real product for AI governance

Like

Ease of keeping DR tables in sync with production.

Dislike

We faced two main challenges. The first was the complexity of the layers involved in setting up the tool, especially since the installation was on-premises making OpenShift knowledge essential. The second issue was the lack of third-party documentation. Although IBMs official documentation is extensive, we faced the same issue as with DataStage: limited documentation generated by the user community.

Dislike

we have to manipulate through openshift cli to get some features done not through UI.

Dislike

Inability to handle truncate/load tables and can only replicate to one target

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Peer Discussions

IBM Cloud Pak for Data Reviews and Ratings

Showing data for 14 ratings and reviews for Data Integration Tools market. View all 25 ratings and reviews across markets for a complete picture.

4.6

(14 Ratings)

Rating Distribution

5 Star
50%
4 Star
50%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.2

Service & Support

4.2

Product Capabilities

4.5

Filter Reviews
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  • IT SPECIALIST
    <50M USD
    Banking
    Review Source

    Migration to Cloud Pak Enabled Greater Data Flow Modernization and Integration

    5.0
    Jul 1, 2025
    We started from legacy set of unsupported Data Manager jobs and then we have migrated them to onpremisses Datastage. Cloud Pak for Data was the natural next step for us , it gave us the opportunity to modernize our inherited data flows even more, and build new greenfield solutions. The consulting team was crucial on this process and gave us confidence to keep going.
  • AI Advisor
    1B-10B USD
    IT Services
    Review Source

    CP4D is a great Product

    4.0
    Oct 6, 2023
    IBM expert labs are real pros , they helped us through alot of issues.
  • SYSTEM ENGINEER
    1B-10B USD
    Retail
    Review Source

    QRep Support Makes This Product Shine

    5.0
    Sep 28, 2023
    QRep Capture and Apply services are very easy to use. There are times where we ask a lot of the service and it does well to keep up. We have experienced issues at times, but the replication support team is second to none. I cannot say enough good things about team
  • GERENTE TI CORPORATIVO
    50M-1B USD
    Retail
    Review Source

    Good products and services wiht opportunity

    4.0
    Jun 12, 2023
    The products are very good once installed, however, they have a lot of opportunity in the implementation service. I have the impression that your specialists do not have enough knowledge to solve the problems
  • IT Manager
    <50M USD
    Services (non-Government)
    Review Source

    Data management with IBM Cloud Pak for Data

    4.0
    Jun 20, 2023
    complete tool to load data in another way and share data efficiently
Showing Result 1-5 of 16

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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