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Compare Cloudera and Google Cloud Dataproc 
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At a Glance
Market Segments
Enterprise (51.5% of reviews)
Mid-Market (46.7% of reviews)
Pros & Cons
Not enough data
Not enough data
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 ClouderaGoogle Cloud Dataproc
Star Rating
(17)4.4 out of 5
Market Segments
Mid-Market (46.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprocSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Cloudera excels in Hadoop Integration with a score of 8.7, while Google Cloud Dataproc shines even brighter with a score of 9.0, indicating a more seamless experience for users who rely heavily on Hadoop frameworks.
- Reviewers mention that Google Cloud Dataproc offers superior Spark Integration, scoring 9.4 compared to Cloudera's 8.1, which suggests that users looking for robust Spark capabilities may find Dataproc to be the better choice.
- G2 users highlight that Cloudera's Quality of Support is rated at 6.9, which falls short compared to Google Cloud Dataproc's impressive 8.8, indicating that users may experience better assistance and resources with Dataproc.
- Users on G2 report that Cloudera has a lower Ease of Use rating at 7.7, while Google Cloud Dataproc scores 9.0, suggesting that Dataproc may be more user-friendly and accessible for new users.
- Reviewers say that Cloudera's Data Management features are robust, but Google Cloud Dataproc's Real-Time Data Collection and Processing capabilities, scoring 8.1 and 9.0 respectively, provide a more efficient solution for users needing immediate data insights.
- Users mention that Cloudera's Product Direction score of 7.0 indicates some concerns about future updates, while Google Cloud Dataproc's score of 8.2 suggests a more positive outlook on ongoing development and feature enhancements.
Pricing
Entry-Level Pricing
Cloudera
No pricing availableGoogle Cloud Dataproc
No pricing availableFree Trial
Cloudera
No trial information availableGoogle Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.2
30
8.7
10
Ease of Use
7.7
30
9.0
10
Ease of Setup
7.8
18
Not enough data
Ease of Admin
7.2
18
Not enough data
Quality of Support
6.9
26
8.8
10
Has the product been a good partner in doing business?
7.8
15
Not enough data
Product Direction (% positive)
7.0
31
8.8
10
Features by Category
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 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
Database
7.8
10
8.1
8
8.8
10
8.8
8
8.1
8
8.1
8
Integrations
8.7
10
9.0
8
8.1
9
9.4
8
Platform
9.2
6
9.2
8
7.5
8
7.9
8
8.1
9
9.4
8
Processing
7.8
6
9.0
8
8.1
8
8.3
8
Data Transformation
7.0
9
|
Verified
Not enough data
8.3
6
|
Verified
Not enough data
Connectivity
9.0
10
|
Verified
Not enough data
9.1
9
|
Verified
Not enough data
8.5
9
|
Verified
Not enough data
9.0
8
|
Verified
Not enough data
Operations
7.5
8
|
Verified
Not enough data
8.0
9
|
Verified
Not enough data
7.9
7
|
Verified
Not enough data
Feature Not Available
Not enough data
8.7
5
|
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
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 Google Cloud Dataproc are categorized as Big Data Processing and Distribution
Unique Categories
Cloudera is categorized as Key Value Databases, Big Data Analytics, Data Warehouse, and Big Data Integration Platforms
Google Cloud Dataproc is categorized as ETL Tools
Reviews
Reviewers' Company Size
Cloudera
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataproc
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
26.7%
Retail
13.3%
Marketing and Advertising
6.7%
Hospital & Health Care
6.7%
Higher Education
6.7%
Other
40.0%
Alternatives
Discussions
Cloudera has no discussions with answers
Google Cloud Dataproc has no discussions with answers
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