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Compare Cloudera and IBM watsonx.data 
Featured Products
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (36.1% 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)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about ClouderaIBM watsonx.data
Star Rating
(94)4.3 out of 5
Market Segments
Enterprise (36.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.dataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that IBM watsonx.data excels in data accessibility and storage management, with users praising its unified lakehouse feature that simplifies analytics by consolidating various data types into a single platform. This capability helps eliminate the hassle of juggling multiple tools, making it a strong choice for organizations looking for streamlined data management.
- Users say Cloudera is particularly effective for handling confidential data, with feedback highlighting its ease of use and reliability. Many users appreciate that it often works without issues, making it a dependable option for businesses that prioritize data security and user-friendly interfaces.
- According to verified reviews, IBM watsonx.data stands out for its hybrid cloud infrastructure, which allows for effective data management across multiple IT projects. Users commend its workload balancing capabilities, noting that it provides a reliable big data integration system that enhances operational efficiency.
- Reviewers mention that Cloudera has a strong performance in Hadoop integration, with many users highlighting its seamless compatibility with existing systems. This makes it a favorable option for organizations already invested in Hadoop technology, as it allows for smooth transitions and integrations.
- G2 reviewers indicate that IBM watsonx.data has a higher overall satisfaction score, particularly in areas like quality of support and product direction. Users appreciate the responsive support team and the positive outlook for future product enhancements, which contributes to a more satisfying user experience.
- Users report that while Cloudera has a solid reputation for data querying and real-time analytics, it faces challenges in keeping up with the evolving needs of users compared to IBM watsonx.data. This is reflected in the feedback regarding its slightly lower scores in areas that require rapid adaptation to new data demands.
Pricing
Entry-Level Pricing
Cloudera
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Cloudera
No trial information availableIBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.2
30
8.5
71
Ease of Use
7.7
30
8.0
83
Ease of Setup
7.8
18
7.6
76
Ease of Admin
7.2
18
7.6
31
Quality of Support
6.9
26
8.3
66
Has the product been a good partner in doing business?
7.8
15
8.1
30
Product Direction (% positive)
7.0
31
9.2
71
Features by Category
Administration
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
8.0
5
Not enough data
7.7
5
Management
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Compliance
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
7.7
5
Security
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Data Quality
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Maintainence
Not enough data
8.3
5
Not enough data
8.7
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
6.0
5
Not enough data
6.0
5
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
Functionality
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 Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
8.3
6
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
7.5
6
Not enough data
8.1
6
Integration
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.6
6
Deployment
Not enough data
8.1
6
Not enough data
9.4
6
Performance
Not enough data
8.6
6
Security
Not enough data
9.2
6
Not enough data
9.4
6
Generative AI
Not enough data
8.3
5
Not enough data
8.7
5
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
Data Management
Not enough data
8.2
46
Not enough data
8.4
46
Not enough data
8.5
45
Data as a Service
Not enough data
8.3
45
Not enough data
8.5
45
Architecture
Not enough data
8.2
45
Not enough data
8.4
45
Database
7.8
10
8.6
28
8.8
10
8.8
27
8.1
8
8.6
28
Integrations
8.7
10
8.3
28
8.1
9
8.5
28
Platform
9.2
6
8.4
27
7.5
8
8.6
28
8.1
9
8.5
28
Processing
7.8
6
8.8
27
8.1
8
8.9
25
Data Transformation
7.0
9
|
Verified
7.2
9
8.3
6
|
Verified
7.5
10
Connectivity
9.0
10
|
Verified
7.2
9
9.1
9
|
Verified
7.4
9
8.5
9
|
Verified
8.0
9
9.0
8
|
Verified
7.4
9
Operations
7.5
8
|
Verified
7.5
10
8.0
9
|
Verified
8.0
10
7.9
7
|
Verified
8.2
10
Feature Not Available
6.8
10
8.7
5
|
Verified
7.8
10
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 watsonx.data are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Cloudera is categorized as Key Value Databases and Big Data Integration Platforms
IBM watsonx.data is categorized as Data as a Service (DaaS), Data Governance, Data Science and Machine Learning Platforms, and ETL Tools
Reviews
Reviewers' Company Size
Cloudera
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.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%
Information Technology and Services
24.1%
Computer Software
14.5%
Consulting
8.4%
Financial Services
7.2%
Banking
6.0%
Other
39.8%
Alternatives
Discussions
Cloudera has no discussions with answers
IBM watsonx.data has no discussions with answers
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