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IBM Cloud Pak for Data vs SAP Analytics Hub 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:
 

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)
SAP Analytics Hub
Ranking in Data Integration
45th
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (29th)
 

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 SAP Analytics Hub is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
IBM Cloud Pak for Data1.3%
SAP Analytics Hub0.6%
Other98.1%
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.
Nitesh Agrawal - PeerSpot reviewer
Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.
Integration and security have improved, but search functionality and clarity of future direction need enhancement
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Its data preparation capabilities are highly valuable."
"The most valuable features are data virtualization and reporting."
"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."
"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."
"I would advise others looking into using IBM Cloud Pak for Data that it is a very great tool that is an all-in-one, real-time data analytics solution that provides a phenomenal user experience."
"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."
"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."
"DataStage allows me to connect to different data sources."
"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."
"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"This product provides good reports using a single pane of glass."
 

Cons

"The solution's catalog searching or map search needs to be improved."
"The solution's user experience is an area that has room for improvement."
"The setup for IBM Cloud Pak for Data is very complex, and our teams responsible for standing up the environment struggled a lot."
"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."
"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."
"The solution could have more connectors."
"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."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
"The technical support for Analytics Hub is limited and could be improved."
"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"The interface can be simplified because it is not a user-friendly experience."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
 

Pricing and Cost Advice

"It's quite expensive."
"Cloud Pak's cost is a little high."
"The solution's pricing is competitive with that of other vendors."
"I think that this product is too expensive for smaller companies."
"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
"The solution is expensive."
"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
"It is an expensive solution."
"The pricing is reasonable."
"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"The product is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Manufacturing Company
9%
Computer Software Company
8%
Government
4%
Manufacturing Company
15%
Retailer
8%
Transportation Company
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Large Enterprise12
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
 

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 is your experience regarding pricing and costs for SAP Analytics Hub?
The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.
What needs improvement with SAP Analytics Hub?
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data l...
What advice do you have for others considering SAP Analytics Hub?
When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics ...
 

Also Known As

Cloud Pak for Data
No data available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
STIB-MIVB
Find out what your peers are saying about IBM Cloud Pak for Data vs. SAP Analytics Hub and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.