Compare Cloudera Data Platform and IBM watsonx.data 
At a Glance
Market Segments
Enterprise (42.3% of reviews)
Small-Business (37.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cloudera Data Platform
Star Rating
(136)4.1 out of 5
Market Segments
Enterprise (42.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data PlatformIBM watsonx.data
Star Rating
(161)4.4 out of 5
Market Segments
Small-Business (37.0% 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 flexibility, allowing users to run different query engines based on their workload. This adaptability helps optimize both performance and cost, making it a strong choice for businesses with varying data needs.
- Users say that Cloudera is particularly effective for handling confidential data, with many praising its ease of use and reliability. Reviewers appreciate that it often works without issues, making it a dependable option for sensitive projects.
- According to verified reviews, IBM watsonx.data stands out for its fast querying and analytics capabilities, especially when dealing with large and complex datasets. Users highlight its storage optimization features, which enhance performance during data-heavy tasks.
- Reviewers mention that Cloudera has a strong presence in the enterprise market, with many users from larger organizations. This focus may benefit enterprises looking for robust solutions tailored to their scale, although it may not cater as well to smaller businesses.
- Users highlight that IBM watsonx.data's built-in governance features are crucial for enterprises, ensuring data compliance and security. This aspect is particularly appealing for organizations that prioritize data management and regulatory adherence.
- G2 reviewers note that while Cloudera has a solid reputation, it faces challenges in support quality, with lower ratings compared to IBM watsonx.data. Users have expressed a desire for improved support experiences, which could enhance their overall satisfaction with the product.
Pricing
Entry-Level Pricing
Cloudera Data Platform
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Cloudera Data Platform
No trial information availableIBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.6
117
8.7
124
Ease of Use
8.3
119
8.2
138
Ease of Setup
8.1
60
7.9
123
Ease of Admin
7.9
59
7.8
51
Quality of Support
8.0
108
8.5
120
Has the product been a good partner in doing business?
8.4
56
8.7
52
Product Direction (% positive)
8.4
118
9.2
125
Features by Category
Reports
7.1
13
Not enough data
6.1
11
Not enough data
7.1
12
Not enough data
5.9
9
Not enough data
6.7
14
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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
Agentic AI - Analytics 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
Self Service
6.2
11
Not enough data
6.7
10
Not enough data
6.2
11
Not enough data
6.8
10
Not enough data
6.2
10
Not enough data
6.0
7
Not enough data
Deployment & Integration - Analytics 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
Advanced Analytics
7.2
12
Not enough data
6.7
13
Not enough data
8.5
14
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.3
21
Not enough data
7.7
21
Not enough data
6.7
9
Not enough data
7.7
16
Not enough data
Data Governance
8.8
10
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
Data Preparation
9.2
10
Not enough data
9.4
9
Not enough data
9.7
10
Not enough data
8.9
9
Not enough data
Collaboration
8.5
8
Not enough data
8.9
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
Artificial Intelligence
9.5
10
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
Generative AI
8.1
9
Not enough data
8.5
9
Not enough data
Agentic AI - Machine Learning Data Catalog
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
Administration
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Management
Not enough data
8.3
5
Not enough data
8.6
6
Not enough data
8.1
6
Not enough data
8.1
6
Not enough data
8.6
6
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
8.8
7
Not enough data
9.0
7
Not enough data
8.6
6
Data Quality
Not enough data
8.8
7
Not enough data
8.6
6
Not enough data
8.3
5
Maintainence
Not enough data
8.6
6
Not enough data
8.7
5
Generative AI
Not enough data
8.7
5
Not enough data
8.0
5
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
8.0
5
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
Deployment
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
Deployment
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
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
Operations
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.7
15
Not enough data
Model Development
9.8
15
8.3
5
9.4
16
6.3
5
9.4
14
8.7
5
9.4
15
8.1
6
Model Development
9.4
14
7.0
5
Machine/Deep Learning Services
9.3
15
6.3
5
9.6
15
8.1
6
9.4
15
7.3
5
9.3
15
Not enough data
Machine/Deep Learning Services
9.8
14
Not enough data
9.9
13
6.7
5
Deployment
9.3
15
Not enough data
9.7
16
Not enough data
9.6
15
8.3
5
Generative AI
9.6
13
Not enough data
9.2
13
Not enough data
9.3
14
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
6.7
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
7.2
6
Not enough data
Analytics
6.4
6
Not enough data
Security
6.4
6
Not enough data
7.5
6
Not enough data
7.2
6
Not enough data
Generative AI
7.2
6
Not enough data
6.1
6
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
9.0
15
|
Verified
8.8
8
8.5
14
|
Verified
8.6
6
8.9
14
|
Verified
8.3
6
8.7
13
|
Verified
8.6
7
8.5
14
|
Verified
7.5
6
8.9
14
|
Verified
8.1
6
Integration
8.7
13
|
Verified
8.8
7
8.3
13
|
Verified
8.6
7
9.2
13
|
Verified
8.6
6
Deployment
9.3
14
|
Verified
8.3
7
8.9
14
|
Verified
9.6
8
Performance
9.2
14
|
Verified
9.0
8
Security
8.8
13
|
Verified
9.3
7
9.0
14
|
Verified
9.5
7
Generative AI
8.8
10
8.6
6
8.5
10
8.6
6
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
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.8
11
Not enough data
9.4
11
Not enough data
9.4
8
Not enough data
9.4
9
Not enough data
Support
8.0
11
Not enough data
8.5
11
Not enough data
8.7
10
Not enough data
8.0
10
Not enough data
Security
9.0
10
Not enough data
9.2
10
Not enough data
8.7
9
Not enough data
9.0
10
Not enough data
Performance
8.8
8
Not enough data
8.9
9
Not enough data
8.7
9
Not enough data
8.7
9
Not enough data
8.8
10
Not enough data
Database Features
8.9
19
Not enough data
8.4
19
Not enough data
8.5
17
Not enough data
9.0
18
Not enough data
9.0
16
Not enough data
8.7
17
Not enough data
9.2
18
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
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
Agentic AI - DataOps 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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
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
Data Management
Not enough data
8.2
49
Not enough data
8.5
50
Not enough data
8.5
47
Data as a Service
Not enough data
8.3
46
Not enough data
8.6
48
Architecture
Not enough data
8.2
48
Not enough data
8.5
50
Database
7.9
12
8.7
29
8.6
13
8.8
28
8.3
11
8.6
29
Integrations
8.8
13
8.3
28
8.3
11
8.5
28
Platform
9.2
8
8.4
27
7.7
11
8.6
28
8.3
11
8.5
28
Processing
7.7
8
8.9
28
7.7
11
8.9
25
Data Transformation
7.0
11
|
Verified
7.2
9
8.6
7
|
Verified
7.9
12
Connectivity
8.9
12
|
Verified
7.2
9
8.8
11
|
Verified
7.4
9
8.6
11
|
Verified
8.0
9
9.0
10
|
Verified
7.7
10
Operations
7.7
10
|
Verified
7.5
10
8.0
11
|
Verified
8.0
10
8.1
9
|
Verified
8.2
10
Feature Not Available
6.8
10
8.7
5
|
Verified
7.8
10
Building Reports
8.3
21
Not enough data
7.7
21
Not enough data
6.7
9
Not enough data
7.7
16
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
8.9
19
Not enough data
8.4
19
Not enough data
8.5
17
Not enough data
9.0
18
Not enough data
9.0
16
Not enough data
8.7
17
Not enough data
9.2
18
Not enough data
Categories
Categories
Shared Categories
Cloudera Data Platform and IBM watsonx.data are categorized as Data Science and Machine Learning Platforms, Big Data Processing and Distribution, ETL Tools, Data Warehouse, Big Data Analytics, and Data Governance
Unique Categories
Cloudera Data Platform is categorized as DataOps Platforms, Relational Databases, MLOps Platforms, Data Fabric, Big Data Integration Platforms, Database Management Systems (DBMS), Key Value Databases, Analytics Platforms, Stream Analytics, Machine Learning Data Catalog, and Active Metadata Management
IBM watsonx.data is categorized as Data as a Service (DaaS)
Reviews
Reviewers' Company Size
Cloudera Data Platform
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
23.1%
Computer Software
17.7%
Banking
6.2%
Retail
6.2%
Consulting
4.6%
Other
42.3%
Computer Software
19.3%
Information Technology and Services
19.3%
Consulting
6.4%
Financial Services
5.7%
Banking
4.3%
Other
45.0%
Alternatives
Discussions
What is Cloudera used for?
1 Comment
SA
Cloudera supports distributed processing using Apache Spark, Hive, and YARN, enabling fast processing of very large datasets.
Use cases
Batch processing...Read more
Cloudera Data Platform has no more discussions with answers
IBM watsonx.data has no discussions with answers
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