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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (63.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataSAP HANA Cloud
Star Rating
(571)4.3 out of 5
Market Segments
Enterprise (63.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about SAP HANA CloudSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SAP HANA Cloud excels in speed and responsiveness, making it a preferred choice for organizations that handle extensive datasets. Users highlight its ability to execute queries and reports swiftly, which significantly enhances daily workflows.
- Users say that IBM Cloud Pak for Data offers a comprehensive integrated approach to data management, which has been crucial for organizations undergoing digital transformation. Its ability to unify siloed data into a central platform is particularly praised, allowing for better trend identification and resource optimization.
- Reviewers mention that SAP HANA Cloud stands out for its effective scalability and simple data federation capabilities. This makes it easier for users to manage large volumes of data without experiencing the slowdowns often associated with other enterprise solutions.
- According to verified reviews, IBM Cloud Pak for Data is recognized for its intuitive user interface, which facilitates data analysis workflows and solution development. Users appreciate how seamlessly it integrates with Watson AI services, enhancing their data analysis capabilities.
- G2 reviewers highlight that while both platforms have similar star ratings, SAP HANA Cloud benefits from a significantly higher volume of recent reviews, indicating a more consistent user experience and satisfaction over time compared to IBM Cloud Pak for Data.
- Users report that SAP HANA Cloud's cloud setup simplifies database management, making it feel fast and reliable for running analytics without delays. In contrast, some users of IBM Cloud Pak for Data have noted challenges in navigating its more complex features, which may require a steeper learning curve.
Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing availableSAP HANA Cloud
No pricing availableFree Trial
IBM Cloud Pak for Data
No trial information availableSAP HANA Cloud
Free Trial is available
Ratings
Meets Requirements
8.5
47
8.7
351
Ease of Use
8.1
47
8.1
361
Ease of Setup
7.2
26
7.8
246
Ease of Admin
7.6
27
7.9
197
Quality of Support
8.3
42
8.1
335
Has the product been a good partner in doing business?
8.1
25
8.5
193
Product Direction (% positive)
8.8
47
8.6
318
Features by Category
Reports
Not enough data
8.5
30
Not enough data
8.4
29
Not enough data
8.9
29
Not enough data
8.6
26
Not enough data
9.0
29
Self Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reports
Not enough data
8.5
30
Not enough data
8.4
29
Not enough data
8.9
29
Not enough data
8.6
26
Not enough data
9.0
29
Reports
Not enough data
8.6
22
Not enough data
8.5
22
Not enough data
8.0
22
Generative AI
Not enough data
6.2
19
Not enough data
6.2
19
Visualization
Not enough data
8.7
22
Not enough data
8.1
22
Not enough data
9.0
21
Not enough data
8.4
21
Data Updates
Not enough data
8.3
22
Not enough data
8.7
22
Collaboration
Not enough data
8.2
22
Not enough data
8.0
22
Not enough data
8.3
22
Data Updates
Not enough data
8.9
25
Not enough data
8.9
26
Not enough data
8.1
25
Cartography
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
8.8
83
Not enough data
8.7
79
Not enough data
8.6
81
Federation
Not enough data
8.6
76
Not enough data
8.5
75
Not enough data
8.4
74
Not enough data
8.7
77
Transformation
Not enough data
8.7
82
Not enough data
8.8
84
Not enough data
8.7
82
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure Provision
7.7
8
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.3
7
Not enough data
Management
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
Functionality
8.3
8
Not enough data
System
9.5
11
Not enough data
Model Development
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Not enough data
Model Development
8.5
12
Not enough data
Machine/Deep Learning Services
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
Machine/Deep Learning Services
9.2
8
Not enough data
9.3
7
Not enough data
Deployment
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Not enough data
Generative AI
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
Analytics
Not enough data
Not enough data
Security
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
8.7
20
Not enough data
8.8
20
Not enough data
9.0
19
Not enough data
8.8
20
Not enough data
8.9
19
Maintenance
Not enough data
8.5
20
Not enough data
8.9
20
Not enough data
8.6
20
Security
Not enough data
8.8
20
Not enough data
8.6
20
Management
Not enough data
8.5
85
Not enough data
8.4
84
Not enough data
8.4
80
Not enough data
8.6
84
Support
Not enough data
8.3
84
Not enough data
8.6
85
Not enough data
8.3
86
Not enough data
Feature Not Available
Security
Not enough data
8.8
82
Not enough data
8.6
82
Not enough data
8.7
82
Not enough data
8.8
84
Performance
Not enough data
8.7
81
Not enough data
8.7
80
Not enough data
8.6
80
Not enough data
8.7
78
Not enough data
Feature Not Available
Database Features
Not enough data
8.7
210
Not enough data
8.6
212
Not enough data
8.5
213
Not enough data
8.6
211
Not enough data
8.7
211
Not enough data
8.2
202
Not enough data
8.3
197
Setup
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.3
5
8.2
10
8.8
8
8.2
10
8.6
7
8.8
10
Data Analysis
8.7
9
8.8
10
9.0
7
8.5
8
Decision Making
8.3
6
8.1
9
8.8
7
9.4
9
8.8
8
9.3
9
8.3
8
9.3
9
Generative AI
Not enough data
6.9
9
Not enough data
7.2
9
Configuration
Not enough data
8.7
82
Not enough data
8.5
78
Not enough data
8.7
80
Not enough data
8.2
74
Not enough data
8.7
77
Database Administration
Not enough data
8.5
78
Not enough data
8.3
77
Not enough data
8.4
78
Availability
Not enough data
8.7
80
Not enough data
8.5
78
Not enough data
8.6
76
Not enough data
8.6
75
Security
Not enough data
8.7
69
Not enough data
8.6
72
Not enough data
8.6
72
Data Management
Not enough data
8.6
74
Not enough data
8.6
73
Data Transformation
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Not enough data
Connectivity
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
8.7
24
|
Verified
Not enough data
Operations
8.7
26
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Not enough data
8.7
13
|
Verified
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Cloud Pak for Data and SAP HANA Cloud are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
SAP HANA Cloud is categorized as Data Virtualization, Database as a Service (DBaaS), Relational Databases, Database Management Systems (DBMS), Data Visualization, Location Intelligence, Text Analysis, Time Series Intelligence, MLOps Platforms, and Machine Learning
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP HANA Cloud
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Information Technology and Services
19.9%
Computer Software
8.1%
Retail
4.5%
Accounting
4.3%
Oil & Energy
3.9%
Other
59.3%
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
SAP HANA Vs Oracle
2 Comments
PB
HANA is in-memory database delivered with its appliance, can compress the data at its optimized size which helps to lower the size of DB to be used in...Read more
How is SAP HANA makes data processing and transactions very fast
2 Comments
SN
by minimizing the no. of business process steps by 30 to 40%Read more
HANA What is Next
1 Comment
PB
HANA what is next ?question is tricky, see HANA is a in memory DB with its certified appliance, a strong DB fighting against the traditional DBs like Oracle,...Read more
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