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Compare Google Cloud Infrastructure and IBM Cloud Pak for Data 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud Infrastructure
Star Rating
(16)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud InfrastructureIBM 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 DataSummary
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, highlighting its robust capabilities in handling diverse data sources efficiently, while Google Cloud Infrastructure, although strong, does not match this level of performance.
- Reviewers mention that Google Cloud Infrastructure shines in High-Performance Computing (HPC) with a score of 9.1, making it a preferred choice for users needing advanced computational power, whereas IBM Cloud Pak for Data, while competent, scores slightly lower at 8.5.
- G2 users indicate that IBM Cloud Pak for Data offers superior Data Management features, particularly in Data Querying with a score of 9.1, which users find essential for their analytics needs, compared to Google Cloud Infrastructure's performance in this area.
- Users on G2 highlight that Google Cloud Infrastructure provides better support for Virtual Machines, scoring 9.1, which is crucial for users looking for flexibility in their cloud environments, while IBM Cloud Pak for Data scores 7.9 in this category.
- Reviewers say that IBM Cloud Pak for Data's pre-built algorithms score 9.1, making it a strong contender for users focused on rapid model development, whereas Google Cloud Infrastructure's pre-built algorithms score lower at 7.8, indicating less variety or effectiveness.
- Users report that Google Cloud Infrastructure has a slight edge in Pay by Usage with a score of 8.7, which is appealing for businesses looking for cost-effective solutions, while IBM Cloud Pak for Data scores 8.6, showing it is competitive but not quite as flexible.
Pricing
Entry-Level Pricing
Google Cloud Infrastructure
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Google Cloud Infrastructure
No trial information availableIBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.7
15
8.5
47
Ease of Use
8.3
15
8.1
47
Ease of Setup
7.3
5
7.2
26
Ease of Admin
7.7
5
7.6
27
Quality of Support
7.8
15
8.3
42
Has the product been a good partner in doing business?
7.0
5
8.1
25
Product Direction (% positive)
8.4
15
8.8
47
Features by Category
Customization
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
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
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
8.7
13
7.7
8
8.0
14
8.1
7
8.3
13
7.9
7
8.9
11
8.3
6
9.1
11
8.5
8
9.1
13
7.9
8
8.7
10
8.3
8
7.8
13
8.3
7
Management
8.7
13
8.6
7
9.2
13
8.3
7
8.6
13
8.1
8
Functionality
8.3
14
8.3
8
System
Not enough data
9.5
11
Model Development
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Model Development
Not enough data
8.5
12
Machine/Deep Learning Services
Not enough data
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Machine/Deep Learning Services
Not enough data
9.2
8
Not enough data
9.3
7
Deployment
Not enough data
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Generative AI
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
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
Not enough data
8.3
5
Analytics
Not enough data
Not enough data
Security
Not enough data
9.0
5
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
Not enough data
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Data Analysis
Not enough data
8.7
9
Not enough data
9.0
7
Decision Making
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
Not enough data
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Connectivity
Not enough data
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
Operations
Not enough data
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
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
Google Cloud Infrastructure and IBM Cloud Pak for Data are categorized as Infrastructure as a Service (IaaS)
Unique Categories
Google Cloud Infrastructure has no 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
Reviews
Reviewers' Company Size
Google Cloud Infrastructure
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Data
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
37.5%
Computer & Network Security
12.5%
Retail
6.3%
Media Production
6.3%
Internet
6.3%
Other
31.3%
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Alternatives
Discussions
Google Cloud Infrastructure has no discussions with answers
IBM Cloud Pak for Data has no discussions with answers
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