IBM Cloud Pak for Data vs SAP HANA comparison

IBM and SAP are both solutions in the Data Virtualization category. IBM is ranked #3 with an average rating of 8.2, while SAP is ranked #2 with an average rating of 8.4. IBM holds a 19.4% mindshare in DV, compared to SAP’s 15.0% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 92% of SAP users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

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187 Comparison Views

86% willing to recommend

SAP HANA

Read 84 SAP HANA reviews

194 Views
198 Comparison Views

92% willing to recommend

IBM Cloud Pak for Data

SAP HANA

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Executive SummaryUpdated on Jan 5, 2025

SAP HANA and IBM Cloud Pak for Data compete in the enterprise software market, focusing on data management and AI integration. SAP HANA seems to have the upper hand in enterprise data management due to its real-time capabilities, while IBM Cloud Pak for Data stands out in AI and data governance.

Features: SAP HANA's real-time database capabilities provide near zero downtime and high-speed performance for big data applications. Its stability, integration features, and powerful in-memory computing are key strengths. IBM Cloud Pak for Data offers features such as Watson Studio and Watson Machine Learning, which support AI model development, and Watson Knowledge Catalog for data governance. Its containerization allows easy deployments across various cloud environments.

Room for Improvement: SAP HANA could improve in affordability, flexibility, and third-party tool integration. Users suggest the need for simplified customization and better support for non-SAP tools. Pricing is a significant concern. IBM Cloud Pak for Data requires enhancements in infrastructure requirements, setup process simplification, and improved native features like XML input/output. Additional connectors and streamlined cloud service integrations are also recommended.

Ease of Deployment and Customer Service: SAP HANA is deployable on-premises, in hybrid, and private cloud setups, offering flexibility for enterprises. Technical support varies by region with mixed user experiences, and community support is considered lacking. IBM Cloud Pak for Data is focused on public and hybrid cloud deployments, enabling flexibility for cloud-native applications. Users report satisfaction with its fit for larger enterprises, though access to direct support and transitioning from legacy systems can be challenging.

Pricing and ROI: SAP HANA is seen as expensive, with costs associated with licensing and hardware, yet it delivers good ROI through time savings and efficient features. IBM Cloud Pak for Data, while also considered pricey, is viewed as competitive due to its advanced AI capabilities and functionality. Both solutions mainly cater to enterprises able to justify the investment with the substantial benefits they offer.

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

Buyer's Guide

IBM Cloud Pak for Data vs. SAP HANA

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 Virtualization

3rd

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (16th)

SAP HANA

Ranking in Data Virtualization

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Embedded Database (4th), Relational Databases Tools (4th)

Mindshare comparison

As of April 2025, in the Data Virtualization category, the mindshare of IBM Cloud Pak for Data is 19.4%, up from 14.9% compared to the previous year. The mindshare of SAP HANA is 15.0%, down from 19.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Virtualization

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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Jayarami Reddy Pujeri

ERP Head at ID Fresh Food

Comprehensive system with real-time analytics for versatile industry applications

Our primary use case is working with various clients in industries such as pharmaceuticals and other services. We support clients as implementers of SAP HANA, providing expertise in functionality, finance, logistics, and processes The solution is very user-friendly and supports all kinds of…

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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

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

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

"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."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

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

"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."

"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."

More IBM Cloud Pak for Data pros

"The in-memory computing and the efficient response time are very good features."

"It's stable and reliable."

"We are using the solution for the DW system. The primary function of the solution is for the database in memory."

"We've had good experiences with technical support."

"The solution is easy to scale."

"A very feature-rich solution with excellent performance."

"One feature I find very valuable, is the response time of the application on the database memory."

"The main feature is that the processes are very flexible, they are able to be adapted to the business and their departments."

More SAP HANA pros

Cons

"The technical support could be a little better."

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"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 could have more connectors."

"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 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 product must improve its performance."

More IBM Cloud Pak for Data cons

"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."

"I would have rated the solution higher if this version was not missing some key features the newer version has."

"I would like to see improvement on the feedback from the road-map; it is currently extremely hard to get insight in this area."

"There are a few areas wherein there could be a patch upgrade, and that can cover up the country-specific payroll areas."

"The solution could improve by having better migration flexibility. For example, it would be helpful if there was a way for customers could check their nonproduction and production deployments."

"The relationship with a partner that sells SAP could be better. We depend much more on our own development, and the partner is for selling us the solutions, so we need them to be able to supply help and answers. The partner isn't very helpful, and we have to rely on our own knowledge and research."

"I don't have direct access to SAP, and instead, I need to go through the SAP office in India."

"There's an issue in the partition. When you record more than two million records, partitioning does not work well. In Oracle it's easy. SAP must resolve this issue in order to be more competitive with Oracle."

More SAP HANA cons

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."

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

"The solution is expensive."

"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."

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

"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."

"It is expensive."

"We pay for a maintenance license, and the licensing cost is high. In general, it is a very expensive solution."

"Price-wise, the product falls on the higher side of the spectrum. There is no need to pay for maintenance and support additionally. Support is available for bug fixes in the product."

"The licensing could improve."

"While the cost of the license may seem high, it is important to note that the benefits of the solution far outweighs the cost."

"The price is on the expensive side, at eight out of ten, with ten being expensive."

"Setup and licensing require planning and proper budgeting, as it is not cheap."

"Set up a consortium of consulting partners and hardware vendors to define your tech. Landscape TCO (total cost of ownership) and then approach the OEM for pricing (on-premise or on cloud or a hybrid model). Check if you can bring your own licenses for some of the existing application licenses on the new platform, to reduce TCO."

More SAP HANA pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

11%

Manufacturing Company

10%

Government

Manufacturing Company

15%

Computer Software Company

12%

Financial Services Firm

10%

Government

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 are the biggest benefits of using SAP HANA?

Based on my work with SAP HANA, the biggest benefit that it can bring to your business is total data management. This product is by SAP - a company that serves almost all needs a client may have co...

See all answers

Is SAP HANA’s customer and technical support reliable?

We have been using SAP HANA for a fairly short period of time and have only taken advantage of their customer support. So far, we have not had issues that required specialized help from technical s...

See all answers

Is SAP HANA difficult to set up and start using?

SAP HANA is fairly easy to set up, however, I do not think a complete beginner can do it. You certainly need some preparation - either you need to have experience with similar solutions, or with ot...

See all answers

Comparisons

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

Compared 18% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 12% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% of the time

Informatica PowerExchange vs IBM Cloud Pak for Data

Compared 2% of the time

More IBM Cloud Pak for Data Competitors

Oracle Database vs SAP HANA

Compared 23% of the time

SQL Server vs SAP HANA

Compared 22% of the time

MySQL vs SAP HANA

Compared 11% of the time

IBM Db2 Database vs SAP HANA

Compared 9% of the time

Apache Spark vs SAP HANA

Compared 6% of the time

More SAP HANA Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

March 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

SAP HANA

March 2025

Download SAP HANA product report

Also Known As

Cloud Pak for Data

SAP High-Performance Analytic Appliance, HANA

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 HANA, also known as SAP High-performance Analytics Appliance, is a multi-model database that stores data in its memory, allowing users to avoid disk storage. The product combines its robust database with services for creating applications. SAP HANA is faster than other database management systems (DBMS) because it stores data in column-based tables in main memory and brings online analytical processing (OLAP) and online transaction processing (OLTP) together.

The column-oriented in-memory database design allows users to run high-speed transactions alongside advanced analytics, all in a single system. This provides companies with the ability to process very large amounts of data with low latency and query data in an instant. By combining multiple data management capabilities, the solution simplifies IT, helps businesses with innovations, and facilitates digital transformation.

The solution is structured into five groups of capabilities, categorized as:

Database design
Database management
Application development
Advanced analytics
Data virtualization

There are three more SAP products that work alongside SAP HANA and complete the experience for users together. SAP S/4HANA Cloud is a ready-to-run cloud enterprise resource planning (ERP). SAP BW/4HANA is a packaged data warehouse, based on SAP HANA, which allows users to consolidate data across the enterprise to get a consistent view of their data. Finally, SAP Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. All three products can combine with SAP HANA to deliver to users an optimized experience regarding their data.

SAP HANA Features

Each architectural group of capabilities of SAP HANA has various features that users can benefit from. These include:

Parallel processing database: SAP HANA utilizes a single platform to run transactional and analytical workloads.
ACID compliance: This feature ensures compliance with requirements for Atomicity, Consistency, Isolation, and Durability (ACID) standards.
Multi-tenancy: This feature allows multiple tenant databases to run in one system while sharing the same memory and processors.
Multi-tier storage and persistent memory support: SAP HANA's native storage extension is a built-in capability to manage between memory and persistent storage, including SAP HANA Cloud Data Lake.
Scaling: The scaling feature supports terabytes of data in a single server and distributes large tables across multiple servers in a cluster to scale further.
Data modeling: This feature consists of graphical modeling tools that enable collaboration between stakeholders and the creation of models to execute complex business logic and data transformation in real time.
Stored procedures: The product has a native language to build stored procedures and uses advanced capabilities to create complex logic.
Administration: This feature consists of administration tools for various platform lifecycle, performance, and management operations and automations.
Security: SAP HANA provides its users with real-time data anonymization features to extract value from data while protecting privacy.
Availability and recovery: The tool supports high availability and disaster recovery through an array of techniques, including backup, storage mirroring, synchronous, asynchronous, and multitarget system replication.
Extended application services: Through its built-in application server, users can develop services such as REST and ODATA, as well as web applications that can run on multiple locations.
Client access: The product offers clients the ability to access it via other application platforms and languages, including Java, JavaScript, R, and Go.
Application lifecycle management: This set of features facilitates the building and packaging of applications, transporting them for development to test to production, and then deploying them.
Application development: This feature consists of a set of tools that offer application development on premises and in the Cloud. The programming language ABAP includes additional optimized features to build extensions to SAP applications.
Search: The search feature uses SQL to locate text promptly across multiple columns and textual content.
Spatial processing: This product feature provides native support for spatial data types and spatial functions.
Graph: Through this feature, users of the product can store and process highly connected data using a property graph.
Streaming analytics: This feature combines various data sources that users can utilize to discover trends over a set period.
Data integration and replication: The solution offers comprehensive features to handle all data integration scenarios.
Data federation: This feature allows users to perform queries on remote data sources in real time with data federation.
Caching: The capacity to cache data provides users with the ability to optimize federated queries against remote sources of data.

SAP HANA Benefits

SAP HANA provides many benefits for its users. These include:

This solution offers a high level of data and application security, beginning from a secure setup and providing continuous support.
SAP HANA offers augmentation for applications and analytics with built-in machine learning (ML).
The solution works in a timely manner, as it provides a response to queries within seconds in large production applications.
SAP HANA simplifies work, as it provides a single gateway to all user data with advanced data virtualization.
The product is very flexible, as it allows users to deploy applications in a public or private cloud, in multiple clouds, on premises, or hybrid.
SAP HANA scales easily for data volume and concurrent users across a distributed environment.
This is a powerful solution in terms of querying large datasets with a massively parallel processing (MPP) database.
SAP HANA is a versatile product that supports hybrid transactional and analytical processing as well as many data types.
The product provides a smaller data footprint with no data duplication or advanced compression, and reduces data silos.

Reviews from Real Users

According to a database consultant at a pharma/biotech company, SAP HANA is a very robust solution with good data access.

Bruno V., owner at LAVORO AUTOM INF E COM LTDA, likes SAP HANA because the product offers advanced features, helps reduce hours, and makes it easy to find what you need.

SAP

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Unilever, NHS 24, adidas Group, CHIO Aachen, Hamburg Port Authority (HPA), Bangkok Airways Public Company Limited

Buyer's Guide

IBM Cloud Pak for Data vs. SAP HANA

March 2025

Free Report: IBM Cloud Pak for Data vs. SAP HANA

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