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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (48.1% 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 DataOpenStack
Star Rating
(53)4.2 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about OpenStackSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that OpenStack excels in Private Cloud functionality with a score of 9.4, making it a preferred choice for organizations looking for robust private cloud solutions. In contrast, IBM Cloud Pak for Data scores lower at 8.1, indicating it may not be as strong in this area.
- Reviewers mention that IBM Cloud Pak for Data offers superior Ease of Use with a score of 8.1 compared to OpenStack's 6.7. This suggests that users find IBM's interface more intuitive and user-friendly, which can significantly enhance productivity.
- G2 users highlight OpenStack's strength in High-Performance Computing (HPC) with a score of 9.0, making it ideal for organizations that require intensive computational resources. IBM Cloud Pak for Data, while competent, scores 8.5, indicating it may not meet the same level of performance for HPC tasks.
- Users on G2 report that IBM Cloud Pak for Data shines in Quality of Support, scoring 8.3, compared to OpenStack's 7.0. This difference suggests that IBM provides more effective customer service and support resources, which can be crucial for businesses needing assistance.
- Reviewers mention that OpenStack's Cloud Orchestration capabilities are impressive, scoring 8.9, which allows for efficient management of cloud resources. In comparison, IBM Cloud Pak for Data's orchestration features may not be as robust, reflecting a score that does not match OpenStack's capabilities.
- Users say that OpenStack's Virtual Machines (VMs) functionality is rated highly at 9.2, indicating strong performance in managing virtual environments. IBM Cloud Pak for Data, however, scores lower at 7.9, suggesting it may not provide the same level of VM management efficiency.
Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing availableOpenStack
No pricing availableFree Trial
IBM Cloud Pak for Data
No trial information availableOpenStack
No trial information availableRatings
Meets Requirements
8.5
47
8.5
47
Ease of Use
8.1
47
6.8
48
Ease of Setup
7.2
26
4.6
33
Ease of Admin
7.6
27
6.2
33
Quality of Support
8.3
42
7.0
46
Has the product been a good partner in doing business?
8.1
25
7.0
30
Product Direction (% positive)
8.8
47
8.3
48
Features by Category
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
Functionality
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
9.0
5
Management
Not enough data
Not enough data
Not enough data
8.1
6
Not enough data
8.6
7
Not enough data
8.9
6
Agentic AI - Cloud Management Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure Provision
7.7
8
7.7
5
8.1
7
9.4
6
7.9
7
8.3
5
8.3
6
9.2
6
8.5
8
9.0
5
7.9
8
9.2
6
8.3
8
Not enough data
8.3
7
9.3
5
Management
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
8.7
5
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
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
Statistical Tool
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Not enough data
Data Analysis
8.7
9
Not enough data
9.0
7
Not enough data
Decision Making
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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 OpenStack are categorized as Infrastructure as a Service (IaaS)
Unique Categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Predictive Analytics, and Generative AI Infrastructure
OpenStack is categorized as Cloud Management Platforms
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
OpenStack
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
34.6%
Computer Software
17.3%
Telecommunications
11.5%
Internet
9.6%
Research
7.7%
Other
19.2%
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
OpenStack has no discussions with answers
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