Compare Cloudera Data Platform and Google Cloud BigQuery 
At a Glance
Market Segments
Enterprise (42.6% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Cloudera Data Platform
Star Rating
(135)4.1 out of 5
Market Segments
Enterprise (42.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data PlatformGoogle Cloud BigQuery
Star Rating
(1,235)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a high overall rating and a significant number of recent reviews, indicating a strong and active user base. Users appreciate its serverless architecture that allows them to focus on data analysis without worrying about infrastructure.
- Users say that Cloudera provides a solid experience for handling confidential data, with many finding it easy to use and reliable for their business needs. However, it has fewer recent reviews, which may suggest less current user engagement compared to BigQuery.
- Reviewers mention that Google Cloud BigQuery's performance is particularly impressive, with its ability to handle billions of queries efficiently. This capability is highlighted by users who find it fast and efficient, making it a preferred choice for large-scale data analysis.
- According to verified reviews, Cloudera shines in its integration with Hadoop, which is beneficial for users who rely on this ecosystem. However, its overall ratings in areas like quality of support and ease of use are lower than those of BigQuery, indicating potential areas for improvement.
- Users highlight that Google Cloud BigQuery's pay-as-you-go model simplifies operations and encourages experimentation with larger datasets. This flexibility is a significant advantage for teams looking to scale their data operations without upfront costs.
- G2 reviewers note that while Cloudera has strengths in specific enterprise applications, it struggles with overall user satisfaction compared to BigQuery, particularly in areas like ease of setup and quality of support, where BigQuery consistently receives higher marks.
Pricing
Entry-Level Pricing
Cloudera Data Platform
No pricing availableGoogle Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
Free Trial
Cloudera Data Platform
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.6
116
8.8
635
Ease of Use
8.3
118
8.7
652
Ease of Setup
8.1
59
8.7
425
Ease of Admin
7.9
59
8.5
226
Quality of Support
8.0
107
8.3
578
Has the product been a good partner in doing business?
8.4
56
8.6
220
Product Direction (% positive)
8.4
117
9.3
620
Features by Category
Reports
6.8
12
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
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
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
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
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
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 Governance
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
Management
Not enough data
8.6
122
Not enough data
8.3
120
Functionality
Not enough data
9.0
121
Not enough data
9.1
124
Not enough data
9.0
125
Not enough data
8.9
124
Not enough data
9.3
123
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
Not enough data
9.4
16
Not enough data
9.4
14
Not enough data
9.4
15
Not enough data
Model Development
9.4
14
Not enough data
Machine/Deep Learning Services
9.3
15
Not enough data
9.6
15
Not enough data
9.4
15
Not enough data
9.3
15
Not enough data
Machine/Deep Learning Services
9.8
14
Not enough data
9.9
13
Not enough data
Deployment
9.3
15
Not enough data
9.7
16
Not enough data
9.6
15
Not enough data
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
8.9
228
|
Verified
8.5
14
|
Verified
8.3
210
|
Verified
8.9
14
|
Verified
8.9
217
|
Verified
8.7
13
|
Verified
8.6
222
|
Verified
8.5
14
|
Verified
8.3
205
|
Verified
8.9
14
|
Verified
8.6
201
|
Verified
Integration
8.7
13
|
Verified
8.5
205
|
Verified
8.3
13
|
Verified
8.6
218
|
Verified
9.2
13
|
Verified
8.6
201
|
Verified
Deployment
9.3
14
|
Verified
7.8
187
|
Verified
8.9
14
|
Verified
9.1
227
|
Verified
Performance
9.2
14
|
Verified
9.2
239
|
Verified
Security
8.8
13
|
Verified
8.7
209
|
Verified
9.0
14
|
Verified
9.1
215
|
Verified
Generative AI
8.8
10
7.6
127
8.5
10
7.8
124
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
18
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
Storage
Not enough data
9.1
69
Not enough data
8.7
69
Availability
Not enough data
8.3
61
Not enough data
8.5
65
Not enough data
8.6
67
Performance
Not enough data
8.5
64
Security
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
8.4
68
Not enough data
8.6
64
Support
Not enough data
8.7
65
Not enough data
8.8
65
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
Centralized computation
Not enough data
9.0
26
Localized computation
Not enough data
8.5
27
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
80
Data Analysis
Not enough data
9.2
79
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
77
Not enough data
8.7
80
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Campaign Activity
Not enough data
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
7.9
12
8.8
175
8.6
13
8.9
173
8.3
11
8.7
167
Integrations
8.8
13
8.4
136
8.3
11
8.5
133
Platform
9.2
8
8.9
151
7.7
11
8.9
165
8.3
11
8.5
133
Processing
7.7
8
9.2
168
7.7
11
9.1
161
Data Transformation
7.0
11
|
Verified
8.8
284
8.6
7
|
Verified
9.3
293
Connectivity
8.9
12
|
Verified
8.1
251
8.8
11
|
Verified
8.2
249
8.6
11
|
Verified
8.7
278
9.0
10
|
Verified
8.7
270
Operations
7.7
10
|
Verified
8.5
279
8.0
11
|
Verified
8.7
277
8.1
9
|
Verified
8.3
255
Feature Not Available
8.4
262
8.7
5
|
Verified
8.5
254
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
18
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 Google Cloud BigQuery are categorized as Big Data Analytics, ETL Tools, Data Warehouse, Big Data Processing and Distribution, and Big Data Integration Platforms
Unique Categories
Cloudera Data Platform is categorized as DataOps Platforms, Machine Learning Data Catalog, Data Governance, Data Science and Machine Learning Platforms, Key Value Databases, Database Management Systems (DBMS), Stream Analytics, Analytics Platforms, Data Fabric, MLOps Platforms, and Relational Databases
Google Cloud BigQuery is categorized as Columnar Databases, Marketing Analytics, Predictive Analytics, and Data Clean Room
Reviews
Reviewers' Company Size
Cloudera Data Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
23.3%
Computer Software
17.1%
Banking
6.2%
Retail
6.2%
Consulting
4.7%
Other
42.6%
Information Technology and Services
16.0%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.6%
Marketing and Advertising
5.2%
Other
51.7%
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
Your software and services insights are valuable.
Your peers come to G2 to get an inside look at and other business solutions. Adding perspective on will help others pick the right solution based on real user experience.
