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Compare Cloudera and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Enterprise (51.5% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
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 BigQuery
Star Rating
(1,208)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
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
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
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.2
30
8.8
616
Ease of Use
7.7
30
8.7
632
Ease of Setup
7.8
18
8.8
407
Ease of Admin
7.2
18
8.5
224
Quality of Support
6.9
26
8.4
565
Has the product been a good partner in doing business?
7.8
15
8.6
217
Product Direction (% positive)
7.0
31
9.3
605
Features by Category
Management
Not enough data
8.6
121
Not enough data
8.3
119
Functionality
Not enough data
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Data Management
Not enough data
8.9
220
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
203
|
Verified
Not enough data
8.7
200
|
Verified
Integration
Not enough data
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
216
|
Verified
Performance
Not enough data
9.1
224
|
Verified
Security
Not enough data
8.7
207
|
Verified
Not enough data
9.1
213
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
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
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
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
7.8
10
8.8
175
8.8
10
8.9
173
8.1
8
8.7
167
Integrations
8.7
10
8.4
136
8.1
9
8.5
133
Platform
9.2
6
8.9
151
7.5
8
8.9
165
8.1
9
8.5
133
Processing
7.8
6
9.2
168
8.1
8
9.1
161
Data Transformation
7.0
9
|
Verified
8.8
283
8.3
6
|
Verified
9.3
293
Connectivity
9.0
10
|
Verified
8.1
251
9.1
9
|
Verified
8.2
249
8.5
9
|
Verified
8.7
278
9.0
8
|
Verified
8.7
269
Operations
7.5
8
|
Verified
8.5
278
8.0
9
|
Verified
8.7
277
7.9
7
|
Verified
8.3
255
Feature Not Available
8.4
262
8.7
5
|
Verified
8.5
254
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 BigQuery are categorized as Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Big Data Integration Platforms
Unique Categories
Cloudera is categorized as Key Value Databases
Google Cloud BigQuery is categorized as Columnar Databases, ETL Tools, Marketing Analytics, Predictive Analytics, and Data Clean Room
Reviews
Reviewers' Company Size
Cloudera
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
21.2%
Telecommunications
12.1%
Computer Software
12.1%
Retail
9.1%
Marketing and Advertising
6.1%
Other
39.4%
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.7%
Alternatives
Discussions
Cloudera has no discussions with answers
Is Big Query free?
3 Comments
BG
noRead more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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