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Compare Cloudera and IBM Cloud Pak for Data 
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At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cloudera
Star Rating
(38)4.0 out of 5
Market Segments
Enterprise (51.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about ClouderaIBM 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 DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Cloudera 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, IBM Cloud Pak for Data, while strong, does not match this level of performance in this area.
- Reviewers mention that IBM Cloud Pak for Data offers superior Quality of Support with a score of 8.3 compared to Cloudera's 6.9. This indicates that users find IBM's support more responsive and helpful, which can be crucial for enterprise-level deployments.
- G2 users highlight Cloudera's strength in High-Performance Computing (HPC) with a score of 8.5, making it ideal for organizations that require intensive computational resources. IBM Cloud Pak for Data, while versatile, does not emphasize HPC to the same extent.
- Users on G2 report that IBM Cloud Pak for Data shines in Real-Time Analytics with a score of 8.5, significantly outperforming Cloudera's score of 7.0. This makes IBM a better option for businesses that rely on immediate data insights.
- Reviewers mention that Cloudera's Customization capabilities, particularly in Custom VMs, score 8.0, allowing for tailored solutions that fit specific business needs. IBM Cloud Pak for Data, while customizable, does not provide the same level of flexibility.
- Users say that IBM Cloud Pak for Data's Deployment options, particularly its managed service capabilities with a score of 9.3, are highly rated, making it easier for organizations to implement and manage their data solutions compared to Cloudera's lower scores in this area.
Pricing
Entry-Level Pricing
Cloudera
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Cloudera
No trial information availableIBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.2
30
8.5
47
Ease of Use
7.7
30
8.1
47
Ease of Setup
7.8
18
7.2
26
Ease of Admin
7.2
18
7.6
27
Quality of Support
6.9
26
8.3
42
Has the product been a good partner in doing business?
7.8
15
8.1
25
Product Direction (% positive)
7.0
31
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
Not enough data
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
Management
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Functionality
Not enough data
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
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
Not enough data
Not enough data
Integration
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
Performance
Not enough data
Not enough data
Security
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Feature Not Available
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
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
Database
7.8
10
Not enough data
8.8
10
Not enough data
8.1
8
Not enough data
Integrations
8.7
10
Not enough data
8.1
9
Not enough data
Platform
9.2
6
Not enough data
7.5
8
Not enough data
8.1
9
Not enough data
Processing
7.8
6
Not enough data
8.1
8
Not enough data
Data Transformation
7.0
9
|
Verified
8.5
27
|
Verified
8.3
6
|
Verified
9.1
15
|
Verified
Connectivity
9.0
10
|
Verified
8.0
23
|
Verified
9.1
9
|
Verified
8.6
22
|
Verified
8.5
9
|
Verified
8.1
25
|
Verified
9.0
8
|
Verified
8.7
24
|
Verified
Operations
7.5
8
|
Verified
8.7
26
|
Verified
8.0
9
|
Verified
8.9
25
|
Verified
7.9
7
|
Verified
8.4
23
|
Verified
Feature Not Available
8.8
24
|
Verified
8.7
5
|
Verified
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
Database Features
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
Cloudera and IBM Cloud Pak for Data are categorized as Big Data Analytics
Unique Categories
Cloudera is categorized as Big Data Processing and Distribution, Key Value Databases, Data Warehouse, and Big Data Integration Platforms
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Data Science and Machine Learning Platforms, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Cloudera
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
Information Technology and Services
21.2%
Telecommunications
12.1%
Computer Software
12.1%
Retail
9.1%
Marketing and Advertising
6.1%
Other
39.4%
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
Cloudera has no discussions with answers
IBM Cloud Pak for Data has no discussions with answers
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