Compare Google Cloud BigQuery and Google Cloud Dataproc 
At a Glance
Market Segments
Enterprise (38.0% of reviews)
Mid-Market (46.7% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,225)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
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.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a significantly higher overall score compared to Google Cloud Dataproc. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel smooth and efficient.
- According to verified reviews, Google Cloud Dataproc shines in its cost-saving features, such as idle cluster deletion and autoscaling, which help manage expenses during peak loads. Users find these features particularly beneficial for optimizing resource usage.
- Reviewers mention that Google Cloud BigQuery's implementation process is quick and intuitive, allowing users to get started without extensive setup. This ease of use is highlighted by feedback praising its ability to handle billions of queries efficiently.
- Users say that Google Cloud Dataproc offers strong integration with other GCP services, making it a solid choice for those looking for a managed, scalable data analytics solution. This flexibility is appreciated by users who value open-source capabilities.
- G2 reviewers highlight that while Google Cloud BigQuery has a robust feature set, including advanced machine learning tools, Google Cloud Dataproc's Java API support and cluster management capabilities are noted as strong points, particularly for developers familiar with Java.
- According to recent user feedback, Google Cloud BigQuery's pay-as-you-go model simplifies operations and encourages experimentation with larger datasets, while Google Cloud Dataproc's transient clusters provide a secure and cost-effective option for users needing flexibility in their data processing tasks.
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
627
8.7
10
Ease of Use
8.7
643
9.0
10
Ease of Setup
8.7
417
Not enough data
Ease of Admin
8.5
227
Not enough data
Quality of Support
8.3
573
8.8
10
Has the product been a good partner in doing business?
8.6
221
Not enough data
Product Direction (% positive)
9.3
615
8.8
10
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
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
Not enough data
Data Management
8.9
225
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
219
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
223
|
Verified
Not enough data
Performance
9.1
233
|
Verified
Not enough data
Security
8.7
208
|
Verified
Not enough data
9.2
214
|
Verified
Not enough data
Generative AI
7.6
127
Not enough data
7.8
124
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
78
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
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Database
8.8
175
8.1
8
8.9
173
8.8
8
8.7
167
8.1
8
Integrations
8.4
136
9.0
8
8.5
133
9.4
8
Platform
8.9
151
9.2
8
8.9
165
7.9
8
8.5
133
9.4
8
Processing
9.2
168
9.0
8
9.1
161
8.3
8
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Not enough data
Operations
8.5
279
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
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
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.8%
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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