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Compare IBM Cloud Pak for Data and NetApp Unified Data Storage 
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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (45.5% 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)
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataNetApp Unified Data Storage
Star Rating
(12)4.4 out of 5
Market Segments
Mid-Market (45.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about NetApp Unified Data StorageSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Cloud Pak for Data excels in Data Ingestion & Wrangling with a score of 9.5, making it a preferred choice for organizations needing robust data preparation capabilities. In contrast, NetApp Data Fabric, while strong in Metadata management with a score of 9.4, does not match the same level of performance in data wrangling.
- Reviewers mention that IBM Cloud Pak for Data offers a more comprehensive AI Model Training Scalability experience, which is crucial for enterprises looking to scale their AI initiatives. NetApp Data Fabric, while effective, does not provide the same level of scalability in this area.
- G2 users highlight that NetApp Data Fabric shines in Quality of Support, scoring 8.9 compared to IBM Cloud Pak for Data's 8.3. This indicates that users may find more responsive and helpful support when using NetApp's solution.
- Users on G2 report that IBM Cloud Pak for Data has a more user-friendly Ease of Setup with a score of 7.2, which some find challenging compared to NetApp Data Fabric's score of 8.3, suggesting a smoother onboarding experience with NetApp.
- Reviewers mention that IBM Cloud Pak for Data's Real-Time Analytics capabilities are rated at 8.5, making it a strong contender for businesses needing immediate insights, while NetApp Data Fabric does not emphasize this feature as strongly.
- Users say that both products have strong Compliance features, but NetApp Data Fabric edges out with a score of 8.9, indicating a slight advantage in meeting regulatory requirements compared to IBM Cloud Pak for Data's score of 9.0.
Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing availableNetApp Unified Data Storage
No pricing availableFree Trial
IBM Cloud Pak for Data
No trial information availableNetApp Unified Data Storage
No trial information availableRatings
Meets Requirements
8.5
47
8.5
9
Ease of Use
8.1
47
8.5
9
Ease of Setup
7.2
26
8.3
5
Ease of Admin
7.6
27
8.3
5
Quality of Support
8.3
42
8.9
9
Has the product been a good partner in doing business?
8.1
25
8.7
5
Product Direction (% positive)
8.8
47
10.0
10
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
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
8.6
7
Not enough data
8.3
6
Not enough data
9.0
7
8.3
5
9.4
6
Analytics
Not enough data
8.8
7
Security
9.0
5
8.9
6
Not enough data
8.1
6
Not enough data
9.5
7
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 NetApp Unified Data Storage are categorized as Data Fabric
Unique Categories
IBM Cloud Pak for Data is categorized as Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
NetApp Unified Data Storage has no unique categories
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
NetApp Unified Data Storage
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
54.5%
Computer & Network Security
18.2%
Telecommunications
9.1%
Information Services
9.1%
Business Supplies and Equipment
9.1%
Other
0.0%
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
NetApp Unified Data Storage has no discussions with answers
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