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IBM Cloud Pak for Data vs SAP Analytics Hub comparison

IBM and SAP are both solutions in the Data Integration category. IBM is ranked #16 with an average rating of 8.2, while SAP is ranked #44 with an average rating of 7.3. IBM holds a 1.8% mindshare in DI, compared to SAP’s 0.1% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.
IBM Cloud Pak for Data
Read 13 IBM Cloud Pak for Data reviews
  • 2,778 Views
  • 1,932 Comparison Views
86% willing to recommend
SAP Analytics Hub
Read 7 SAP Analytics Hub reviews
  • 131 Views
  • 96 Comparison Views
66% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAP Analytics Hub and IBM Cloud Pak for Data compete in the data analytics space. IBM Cloud Pak for Data takes the upper hand due to its robust AI-powered analytics and data governance features.

Features: SAP Analytics Hub offers centralized access to enterprise analytics, seamless integration with SAP products, and intuitive dashboards. IBM Cloud Pak for Data provides AI-driven analytics, data governance, and automation tools, enhancing its appeal for data-heavy environments.

Room for Improvement: SAP Analytics Hub can enhance its AI capabilities, expand on automation features, and improve cross-platform integration. IBM Cloud Pak for Data could improve initial deployment complexity, streamline integration with non-IBM systems, and refine cost-efficiency for smaller enterprises.

Ease of Deployment and Customer Service: SAP Analytics Hub facilitates straightforward deployment in SAP environments with robust customer support. IBM Cloud Pak for Data offers flexible deployment in both cloud and on-premises environments, with extensive customer service options to support diverse infrastructure needs.

Pricing and ROI: SAP Analytics Hub offers a more accessible pricing structure with lower initial setup costs, appealing to SAP-centric enterprises. On the other hand, IBM Cloud Pak for Data, despite higher setup costs, delivers better ROI through its comprehensive features and long-term data efficiencies.

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To learn more, read our detailed IBM Cloud Pak for Data vs. SAP Analytics Hub Report (Updated: March 2025).
Buyer's Guide
IBM Cloud Pak for Data vs. SAP Analytics Hub
March 2025
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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:
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
16th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
13
Ranking in other categories
Data Virtualization (3rd)
SAP Analytics Hub
Ranking in Data Integration
44th
Average Rating
7.2
Reviews Sentiment
6.4
Number of Reviews
7
Ranking in other categories
BI (Business Intelligence) Tools (29th)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.8%, up from 1.7% compared to the previous year. The mindshare of SAP Analytics Hub is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Michelle Leslie - PeerSpot reviewer
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.
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Hyunwook Kang - PeerSpot reviewer
Provides efficient data integration features, but the technical support services need improvement
We use the product for analytics across various business processes and sectors. It helps us analyze SAP ERP data The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity. The platform could easily integrate with other ERP data solutions.…
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Quotes from Members

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

Pros

"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."
"The most valuable features are data virtualization and reporting."
"DataStage allows me to connect to different data sources."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"Its data preparation capabilities are highly valuable."
"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."
More IBM Cloud Pak for Data pros
"This product provides good reports using a single pane of glass."
"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."
"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."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
 

Cons

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."
"The technical support could be a little better."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The product must improve its performance."
"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."
"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."
"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."
"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."
More IBM Cloud Pak for Data cons
"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."
"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
"The technical support for Analytics Hub is limited and could be improved."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"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."
 

Pricing and Cost Advice

"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."
"It's quite expensive."
"The solution is expensive."
"I think that this product is too expensive for smaller companies."
"Cloud Pak's cost is a little high."
"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."
"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."
"The solution's pricing is competitive with that of other vendors."
"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
28%
Computer Software Company
11%
Manufacturing Company
10%
Government
7%
Computer Software Company
17%
Energy/Utilities Company
10%
Financial Services Firm
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM Cloud Pak for Data?
DataStage allows me to connect to different data sources.
See all answers
What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
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.
See all answers
What needs improvement with IBM Cloud Pak for Data?
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...
See all answers
What do you like most about SAP Analytics Hub?
Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually.
See all answers
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.
See all answers
What needs improvement with SAP Analytics Hub?
The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space.
See all answers
 

Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data Logo
IBM InfoSphere DataStage vs IBM Cloud Pak for Data
Compared 42% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data Logo
Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data
Compared 18% of the time
Azure Data Factory vs IBM Cloud Pak for Data Logo
Azure Data Factory vs IBM Cloud Pak for Data
Compared 12% of the time
Denodo vs IBM Cloud Pak for Data Logo
Denodo vs IBM Cloud Pak for Data
Compared 12% of the time
Palantir Foundry vs IBM Cloud Pak for Data Logo
Palantir Foundry vs IBM Cloud Pak for Data
Compared 8% of the time
More IBM Cloud Pak for Data Competitors
SAP Analytics Cloud vs SAP Analytics Hub Logo
SAP Analytics Cloud vs SAP Analytics Hub
Compared 56% of the time
Microsoft Power BI vs SAP Analytics Hub Logo
Microsoft Power BI vs SAP Analytics Hub
Compared 44% of the time
More SAP Analytics Hub Competitors
 

Product Reports

Buyer's Guide
IBM Cloud Pak for Data
March 2025
IBM Cloud Pak for Data reportDownload IBM Cloud Pak for Data product report
Buyer's Guide
SAP Analytics Hub
March 2025
SAP Analytics Hub reportDownload SAP Analytics Hub product report
 

Also Known As

Cloud Pak for Data
No data available
 

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

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

SAP
 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
STIB-MIVB
Buyer's Guide
IBM Cloud Pak for Data vs. SAP Analytics Hub
March 2025
Free Report: IBM Cloud Pak for Data vs. SAP Analytics Hub
Find out what your peers are saying about IBM Cloud Pak for Data vs. SAP Analytics Hub and other solutions. Updated: March 2025.
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