IBM Cloud Pak for Data vs SAP Analytics Hub comparison

IBM and SAP are both solutions in the Data Integration category. IBM is ranked #19 with an average rating of 8.3, while SAP is ranked #44 with an average rating of 7.3. IBM holds a 1.7% mindshare in DI, compared to SAP’s 0.1% mindshare. Additionally, 85% 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 12 IBM Cloud Pak for Data reviews

3,325 Views
2,309 Comparison Views

85% willing to recommend

SAP Analytics Hub

Read 7 SAP Analytics Hub reviews

132 Views
103 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: December 2024).

Buyer's Guide

IBM Cloud Pak for Data vs. SAP Analytics Hub

December 2024

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Categories and Ranking

IBM Cloud Pak for Data

Ranking in Data Integration

19th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

SAP Analytics Hub

Ranking in Data Integration

44th

Average Rating

7.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (30th)

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.7%, down from 1.8% compared to the previous year. The mindshare of SAP Analytics Hub is 0.1%, down from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Murali B

Associate Manager at Ernst & Young

Provides IBM Watson Catalog and data pipelines, but catalog searching needs to be improved

If people are with the existing stuff, I would definitely suggest they go with IBM Cloud Pak for Data. I usually recommend the solution for the financial sector, where I worked for about ten years. I worked with IBM for almost eight years. Unless they want to migrate to a new product completely, I recommend IBM Cloud Pak for Data to explore current business. It is easy to integrate the tool with other solutions. Except for metadata queries, metadata validations, and metadata integrations, I don't see any issues with the solution. I would recommend the solution to other users if it supports their existing infrastructure. Some people don't want to put their data in the cloud because they are concerned about how the data is secured with encryption and decryption. For such cases, we have listed out all the pros and cons of the solution to suggest them to users. Overall, I rate the solution a seven out of ten.

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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

"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."

"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."

"The most valuable features are data virtualization and reporting."

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."

"IBM Watson Catalog and data pipelines are the most valuable features of the solution."

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

"Its data preparation capabilities are highly valuable."

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

More IBM Cloud Pak for Data pros

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

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

"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."

"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

"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."

"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."

"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 product must improve its performance."

"The technical support could be a little better."

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

"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."

More IBM Cloud Pak for Data cons

"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."

"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."

"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

"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."

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

"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."

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

"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."

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

"It's quite expensive."

"It is an expensive solution."

"The product is expensive."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

"The pricing is reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

29%

Computer Software Company

11%

Manufacturing Company

Government

Computer Software Company

17%

Energy/Utilities Company

11%

Manufacturing 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 solution's pricing is competitive with that of other vendors. The pricing also depends on the number of users.

See all answers

What needs improvement with IBM Cloud Pak for Data?

Previously, we used to extract the information in the DSX and the XML formats. IBM Cloud Pak for Data exports information mostly on the ISX, which is an encrypted format. The only challenge with th...

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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 41% of the time

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

Compared 20% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 16% of the time

Denodo vs IBM Cloud Pak for Data

Compared 8% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 5% of the time

More IBM Cloud Pak for Data Competitors

SAP Analytics Cloud vs SAP Analytics Hub

Compared 59% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 23% of the time

SAP Data Hub vs SAP Analytics Hub

Compared 17% of the time

More SAP Analytics Hub Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

December 2024

Download IBM Cloud Pak for Data product report

Buyer's Guide

SAP Analytics Hub

November 2024

Download SAP Analytics Hub product report

Also Known As

Cloud Pak for Data

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IBM

SAP

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.

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.

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

STIB-MIVB

Buyer's Guide

IBM Cloud Pak for Data vs. SAP Analytics Hub

December 2024

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: December 2024.

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