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Compare Google Cloud BigQuery and Google Cloud Dataproc 
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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,203)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 plansGoogle 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 Google Cloud BigQuery excels in data integration with a score of 9.0, making it easier to combine data from various sources seamlessly. In contrast, Google Cloud Dataproc, while strong in Hadoop and Spark integration, received a lower score of 8.0 for Hadoop Integration, indicating it may not be as robust in this area.
- Reviewers mention that Google Cloud BigQuery's built-in data analytics feature scores 8.6, allowing users to perform complex queries without needing extensive setup. On the other hand, Google Cloud Dataproc, while offering flexibility with its Spark integration (scoring 9.4), may require more technical expertise to leverage its analytics capabilities effectively.
- G2 users highlight that Google Cloud BigQuery's real-time analytics feature scores 8.8, providing immediate insights into data. Conversely, Google Cloud Dataproc's real-time data collection scored lower at 8.1, suggesting it may not deliver the same level of immediacy for users needing quick data insights.
- Users on G2 report that Google Cloud BigQuery's scalability is impressive, with a score of 9.3, making it suitable for enterprises with growing data needs. In contrast, Google Cloud Dataproc, while also scalable, received a slightly lower score of 9.2, indicating it may not be as optimized for rapid scaling in all scenarios.
- Reviewers mention that Google Cloud BigQuery's data security features, scoring 9.1, provide robust data governance and encryption options, which are critical for enterprises. Google Cloud Dataproc, while also secure, scored 8.8 for data governance, suggesting it may not offer the same level of comprehensive security features.
- Users say that Google Cloud BigQuery's ease of use, with a score of 8.7, makes it accessible for users with varying technical backgrounds. In contrast, Google Cloud Dataproc, while powerful, received a higher ease of use score of 9.0, indicating it may be more user-friendly for those familiar with cloud-based data processing tools.
Pricing
Entry-Level Pricing
Google 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
Google Cloud Dataproc
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Google Cloud Dataproc
No trial information availableRatings
Meets Requirements
8.8
612
8.7
10
Ease of Use
8.7
626
9.0
10
Ease of Setup
8.8
401
Not enough data
Ease of Admin
8.5
224
Not enough data
Quality of Support
8.4
564
8.8
10
Has the product been a good partner in doing business?
8.7
217
Not enough data
Product Direction (% positive)
9.2
600
8.8
10
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Not enough data
Data Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.1
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Not enough data
Data Analysis
9.3
78
Not enough data
9.1
79
Not enough data
Decision Making
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
Marketing Operations
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Database
8.8
178
8.1
8
8.9
176
8.8
8
8.8
170
8.1
8
Integrations
8.4
139
9.0
8
8.6
136
9.4
8
Platform
8.9
153
9.2
8
8.9
168
7.9
8
8.6
136
9.4
8
Processing
9.3
170
9.0
8
9.1
164
8.3
8
Data Transformation
8.8
288
Not enough data
9.3
295
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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
Categories
Categories
Shared Categories
Google Cloud BigQuery and Google Cloud Dataproc are categorized as ETL Tools and Big Data Processing and Distribution
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Google Cloud Dataproc has no unique categories
Reviews
Reviewers' Company Size
Google Cloud BigQuery
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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
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
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
Google Cloud Dataproc has no discussions with answers
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