IBM Cloud Pak for Data vs SAP Analytics Hub comparison

IBM and SAP are both solutions in the Data Integration category. IBM is ranked #17 with an average rating of 7.8, while SAP is ranked #43 with an average rating of 7.3. IBM holds a 1.7% 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

3,047 Views
2,157 Comparison Views

86% willing to recommend

SAP Analytics Hub

Read 7 SAP Analytics Hub reviews

122 Views
95 Comparison Views

66% willing to recommend

IBM Cloud Pak for Data

SAP Analytics Hub

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.

To learn more, read our detailed IBM Cloud Pak for Data vs. SAP Analytics Hub Report (Updated: January 2025).

Buyer's Guide

IBM Cloud Pak for Data vs. SAP Analytics Hub

January 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

17th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

SAP Analytics Hub

Ranking in Data Integration

43rd

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (29th)

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.7%, up from 1.6% 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

Data asset management engineer at a tech services company with 1-10 employees

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

IT Director at Dfocus

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

"Cloud Pak is a very, very, very good system."

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

"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."

"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."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"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."

"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

"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."

"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."

"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."

"This product provides good reports using a single pane of glass."

"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."

"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."

Cons

"The product must improve its performance."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"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."

"The solution's catalog searching or map search needs to be improved."

"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 interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"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 solution's user experience is an area that has room for improvement."

More IBM Cloud Pak for Data cons

"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 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."

"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 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."

"The solution's pricing is competitive with that of other vendors."

"It's quite 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."

"The solution is expensive."

"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."

"I think that this product is too expensive for smaller companies."

"Cloud Pak's cost is a little high."

"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

Computer Software Company

16%

Energy/Utilities Company

11%

Healthcare Company

Financial Services Firm

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?

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

Compared 40% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 19% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 17% of the time

Denodo vs IBM Cloud Pak for Data

Compared 10% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 7% of the time

More IBM Cloud Pak for Data Competitors

SAP Analytics Cloud vs SAP Analytics Hub

Compared 64% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 36% of the time

More SAP Analytics Hub Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

February 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

SAP Analytics Hub

January 2025

Download 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

January 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: January 2025.

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