--- title: IBM Cloud Pak for Data Reviews meta\_title: 'IBM Cloud Pak for Data Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 90 reviews by the users' company size, role or industry to find out how IBM Cloud Pak for Data works for a business like yours. aggregate\_rating: rating\_value: 4.3 review\_count: 90 scale: '5' date\_modified: '2026-08-09' parent\_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure ---

# IBM Cloud Pak for Data Reviews & Product Details

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IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Running on Red Hat OpenShift and available on any cloud, this unified platform helps companies automate the end-to-end AI lifecycle. The intelligent data fabric in IBM Cloud Pak for Data enables automated distributed queries at scale without data movement; automated discovery and understanding of business-ready data; automated universal privacy and usage policies across the data ecosystem; and optimized model training, accuracy and explainability. View the demo: https://mediacenter.ibm.com/media/1\_je41fqqz. The platform delivers on the below use cases: • Data access and availability – Eliminate data silos and simplify your data landscape to enable faster, cost-effective extraction of value from your data. • Data quality and governance - Apply governance solutions and methodologies to deliver trusted, business data. • Data privacy and security - Fully understand and manage sensitive data with a pervasive privacy framework. • ModelOps - Automate the AI lifecycle and synchronize application and model pipelines to scale AI deployments. • AI governance – Ensure your AI is transparent, compliant and trustworthy with greater visibility into model development, with capabilities such as explainable AI, model risk management and bias detection. • AI for Financial Operations - Automate and integrate planning across your organization, from financial planning & analysis to workforce planning, sales forecasting and supply chain planning. • AI for Customer care - Reduce time to resolution, decrease call volume and increase customer satisfaction. IBM Watson Assistant (WA) can provide AI-powered automated assistance and enable human agents to better handle inquiries. IBM Watson Discovery (WD) complements Watson Assistant and can help unlock insights from complex business content. Discover IBM Cloud Pak for Data Industry Accelerators: https://dataplatform.cloud.ibm.com/gallery?context=cpdaas See a case study: https://mediacenter.ibm.com/media/1\_sr6lx8sz Try at no-cost: http://ibm.biz/dataplatformtrial

* * *

Seller
[IBM](https://www.g2.com/sellers/ibm)
Discussions
[IBM Cloud Pak for Data Community](https://www.g2.com/products/ibm-cloud-pak-for-data/discuss)
Solution Type

All-in-One

Overview by
Pearl Chen

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

4 months

### Return on Investment

19 months

[
View More Pricing Information
](https://www.g2.com/products/ibm-cloud-pak-for-data/pricing)

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## User Insights

Average based on 90 real user reviews.

Implementation Time

4 months

Perceived Cost

$$$$$

[Log in to unlock pricing and user insights](/login)

## IBM Cloud Pak for Data Integrations
(2)

What do users say about integrations?

Integration information sourced from real user reviews.

[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

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 ![Anees B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anees B.")
AB

Anees B.

Lead Data and AI Solution Architect

Enterprise (\> 1000 emp.)

10/27/2022

"IBM's Cloud Pak for Data is among the best data and AI platforms on the market."

4.5/5

What do you like best about IBM Cloud Pak for Data?

- What is most helpful about IBM Cloud Pak for Data?

The platform's UI is very simple, intuitive and customizable making the overall user experience quite exceptional.

- What are the upsides of using IBM Cloud Pak for Data?

If you are a Chief Data Officer or a leader of Data and AI initiatives, then this platform is for you because it is built on the integration of several services designed to run wherever OpenShift is in place.

If your objective is to achieve Data Fabric while ensuring data privacy and compliance with regulations, then services such as Data Virtualization, Data Integration and Watson Knowledge Catalog are key to reaching such a goal. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

One of the big issues with the current release of Cloud Pak for Data (4.5.x) is the lack of connectors allowing business users and data citizens to connect to MANTA and leverage Business Data Lineage features. However, the product management of Cloud Pak for Data and Connectivity teams are working on delivering more connectors to allow for more integration with MANTA. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

IBM Cloud Pak for Data is a multifaceted solution that deals with many business challenges around data and AI. These use cases include, but are not limited to:

- Achieving Data Fabric thanks to Data Virtualization, Data Integration and Data Access services.

- Data Governance and Data Privacy thanks to Watson Knowledge Catalog, IBM Guardium and Truata Anonymization.

- Operationalizing and Infusing AI with services for no code (AutoAI), low code (SPSS Modeler, Decision Optimization) or pure coding using Notebooks with languages such as Python, Scala and Java.

- Delivering exceptional customer care through conversational AI with Watson Assistant, Watson Discovery, Watson Tone Analyzer, Watson Text-To-Speech and Speech-To-Text and many other services from the catalog. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Information Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Information Services")
AI

Verified User in Information Services

Mid-Market (51-1000 emp.)

6/9/2023

"Good Product to use"

2.5/5

What do you like best about IBM Cloud Pak for Data?

The best feature would have to be the Watson Studio. Its a great tool to create more groups and to write code. It is very helpful for machine learning and data science use cases. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

The most difficult issue faced is the native features being decommissioned. When many changes are made like this it requires the team to come up with alternative ways to do things. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

Helps solve the problem of developing models by using graphical approaches where you can connect to multiple sources. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: Seller invite

 ![Hany I.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Hany I.")
HI

Hany I.

Technology Trainer/Integration

Higher Education

Small-Business (50 or fewer emp.)

10/3/2022

"Efficient data analysis solution"

5/5

What do you like best about IBM Cloud Pak for Data?

IBM Cloud Pak for Data has an intuitive user interface. It facilitates data analysis workflow and solution development. The service works seamlessly with Watson AI services and allows for secured connections with various data sources, whether on-premises or in the cloud. Also, it's efficient for parallel/distributed data processing and advanced data model building. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

I find IBM Cloud Pak for Data requires robust technical experience with IBM Cloud Services and much learning. Otherwise, there's nothing that I dislike about it. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

IBM Cloud Pak for Data allows my team to combine, manage, and process various data types from multiple sources to build advanced data analysis solutions for clients. It helps with data preparation, cleaning, transformation, and solution development. Review collected by and hosted on G2.com.

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5/26/2024
Current UserValidated ReviewerIncentivizedSource: Seller invite

 ![SHREEKARKOLANU R.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "SHREEKARKOLANU R.")
SR

SHREEKARKOLANU R.

Software Engineering Specialist

Small-Business (50 or fewer emp.)

10/11/2022

"Multi Integrated Cognitive Data Platform!"

4/5

What do you like best about IBM Cloud Pak for Data?

Multi-cloud storage option with no limit to storing data.

Large-scale data management across multiple environments.

Integration of AI helps to enable data formation. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

It is a bit complex since its heavily loaded with so many features it will take time for the user to understand and implement solutions.

Enhance third-party integrations smoothly so we can quickly implement integration from external sources. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

Helps newbies to get started with AI and data management and integration on enterprise level.

It helps to eliminate the need for costly billing.

It is straightforward for us to work on those data.

The overall computational errors have been reduced, and containerization has become crucial. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite

 ![Deepak B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Deepak B.")
DB

Deepak B.

Staff Solutions Engineer - Public Sector

Enterprise (\> 1000 emp.)

10/20/2022

"Robust solution to build applications with a modular architecture, run consistent operations"

4.5/5

What do you like best about IBM Cloud Pak for Data?

Runs anywhere, connects security openly, installs easily in any environment—on a customer’s premises, private cloud, or public cloud

Connects all application data to self-service analytics that are integrated directly into the Cloud Paks platform

Simplifies development of cloud-native applications with open-source standards, common services, and integrated DevOps toolsets

Improves productivity by intelligently automating workflows and decisions (both routine and more complex)

Manages both container and VM deployment, orchestration, upgrades, security, and compliance across hybrid resources in a consistent way and supports all major flavors of Kubernetes, like OpenShift, EKS, AKS, IKS, GKE Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

There should be policy enforcement and governance with quota restrictions with ease of life cycle management to install and upgrades of core services. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

Streamlines the building and deployment of cloud-native data and AI workloads

Allows deployment and use of AI with transparency Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

AA

Ashley A.

IT Technical Associate - Database Developer

Enterprise (\> 1000 emp.)

8/29/2022

"Excellent multicloud platform to analyze your data needs & organize your data infrastructure"

4/5

What do you like best about IBM Cloud Pak for Data?

It's a great multilayered platform that enables developers, data engineers, data scientists, business intelligence developers and data analysts to leverage services through their data. There are so many advantages of using this that many businesses have gone live with them and now maintain an integrated platform of automation capabilities. People who code in Kubernetes have heavily used this as it's easy to deploy, analyze, configure and manage the applications. The integrated testing in most cases is successful. The single intuitive dashboard that it provides is excellent. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

The templates sometimes get too cumbersome to customize and there are more manual steps when it comes to downtime. The RTO and RPO for when security breaches occur are significant. The disaster recovery mechanisms can be improved as they still need a lot of room and scope of improvement. Moreover, the initial setup and the infrastructure are too time-consuming and hard to understand. I feel like if you exactly know why you need this and its services for data analytics and in what kind, that is when you should think of deploying it. Starting the setup without clarity and analyzing use cases as per the organization's needs can be frustrating and challenging. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

IBM works with five Cloud Paks: IBM Cloud Pak for Applications, IBM Cloud Pak for Data, IBM Cloud Pak for Integration, IBM Cloud Pak for Multicloud Management, and IBM Cloud Pak for Automation. It is good to customize based on how it is hosted in our company and I feel that it gives the ability to distribute it and integrate it with multiple service vendors. We always struggled with low redundancy data storage and encryption issues as we deal with a lot of vendors at the same time. The excellent thing we scooped out of their services was the fully encrypted backup and recovery processes that they provide. That too they have multiple data centers to do that. Their data organization is good by using the IBM Cloud file storage. It is pre-confirgured and has a very highly optimized data environment which speaks for itself and provides high performance. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

 ![Punit S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Punit S.")
PS

Punit S.

Cloud Engineer

Information Technology and Services

Mid-Market (51-1000 emp.)

10/8/2022

"Best-in-class data management combined with IBM's AI/ML functionalities"

4/5

What do you like best about IBM Cloud Pak for Data?

A plethora of excellent features. It is beginner friendly and has an easy-to-use interface. The support provided across multiple cloud platforms is what makes it easily adaptable. The support provided for running Cloud Pak for Data on-premises while providing best-in-class security is an amazing add-on! Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

The downside is that it requires a lot of infrastructure for initial deployment and isn't suitable for small-scale projects. Also, the pricing is too high for startups trying to understand the ecosystem. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

I am a cloud engineer and I struggle with multi-cloud projects where the solution requires an analytics platform that is not supported across multiple cloud platforms. IBM Cloud Pak for Data resolves my conern. Review collected by and hosted on G2.com.

Show More

4/9/2023
Validated ReviewerIncentivizedSource: G2 invite

 ![Verified User in Airlines/Aviation](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Airlines/Aviation")
CA

Verified User in Airlines/Aviation

Enterprise (\> 1000 emp.)

10/20/2022

"One stop solution for data management and data analytics"

4.5/5

What do you like best about IBM Cloud Pak for Data?

1. Catalog for AI services

2. Searching and indexing

3. Good for hybrid and multi cloud architectures

4. Data migration support.

5. Customer support is great.

5. Data virtualization and automation. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

1. UI could be better.

2. Learning curve in the beginning, since it is complex.

3. Pricing

4. Third-party integrations could be better

5. Should have more automated workflows. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

With IBM cloud pak we are creating automated workflows for data analytics. We integrate IBM cloud pak with ERP systems to collect the data and reduce the ETL processes as well as do the near real time analysis of the data. This is the most used tool within org for the business process automation. This collects the data from different sources including multiple clouds and store centrally. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

DK

Dharmendra K.

Data Analyst/ Consultant

Mid-Market (51-1000 emp.)

5/11/2022

"Great all in one tool for data"

4/5

What do you like best about IBM Cloud Pak for Data?

It is pretty easy to understand by people who are not very proficient in tech as well, and that makes it a very powerful tool.

This being a one-stop solution for your data and analytics needs, helps users in achieving optimal performance in their analytical and other tasks. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

As containerization is still comparatively fairly new, it can be a bit difficult for everyone to understand and use it since cloud pak is mostly based on it. So, maybe if some other vertical is available for the users with lesser knowledge about it and better documentation, can help. Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

There are several data integration challenges with a lot of data sources, cleaning and preparing the data and making it available for the analytics pipeline later on, in order to get correct analysis. Also, need to maintain the security in data on the cloud. Also, few verticals require ML and AI capabilities for different kinds of predictions as well Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

 ![Muskan K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Muskan K.")
MK

Muskan K.

Data Engineer 

Information Technology and Services

Enterprise (\> 1000 emp.)

5/5/2022

"Great tool for Enterprise level Data Insights and much more"

4.5/5

What do you like best about IBM Cloud Pak for Data?

A lot of great features are provided by IBM tools. And cloud Pak for Data in particular is again something that comes with a bundle of great data-centric features, which makes the life of a data team easier in several aspects.

Data virtualization has been very useful, along with the ability to integrate with several other tools, as and when required.

Also, containerization is very crucial in maximum projects these days, and IBM cloud pak beautifully delivers this feature as well and helps in creating a lesser error-prone environment for everyone and giving faster deliveries and insights. Review collected by and hosted on G2.com.

What do you dislike about IBM Cloud Pak for Data?

I feel it is a bit complex and pricey though, and hence not easily approachable to integrate into smaller firms.

From the complexity perspective, it is because it offers tonnes of amazing features, but it becomes equally difficult to get a hang of everything and understand each feature and takes some time to get used to. So, maybe more tutorials and all should be there for better understanding and making knowledge transfer smooth for everyone Review collected by and hosted on G2.com.

What problems is IBM Cloud Pak for Data solving and how is that benefiting you?

Needed a hybrid cloud solution as our project required pulling data from several sources like DB, flat files, APIs etc. After that of course it needed to be staged and prepared and transformed accordingly as per the requirements and had to be made for different kinds of data analytics and insights generation. Then it was loaded to different targets, again according to the sub-stream it belonged to and w.r.t the end user. So, there would be a different kind of end-users, looking at the different granularity of the data. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

4 months

### Return on Investment

19 months

### Perceived Cost

$$$$$

[
View More Pricing Information
](https://www.g2.com/products/ibm-cloud-pak-for-data/pricing)

IBM Cloud Pak for Data Comparisons

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##### 
##### IBM Cloud Pak for Data Features

Model Development

Feature Engineering

Deployment

Application

Scalability

Data Transformation

Real-Time Analytics

Data Querying

Connectivity

Hadoop Integration

Spark Integration

Multi-Source Analysis

[
View More Features
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