Compare Google Cloud BigQuery and Snowflake 
Featured Products
At a Glance
Market Segments
Enterprise (38.0% of reviews)
Mid-Market (44.5% of reviews)
Entry-Level Pricing
Free
$2 Compute/Hour
Google Cloud BigQuery
Star Rating
(1,236)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSnowflake
Star Rating
(735)4.6 out of 5
Market Segments
Mid-Market (44.5% of reviews)
Pros & Cons
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in query performance, with users highlighting its ability to handle large datasets quickly and efficiently. One user noted, "Super fast querying of huge amounts of data, on-demand without having to manage servers," showcasing its robust capabilities for frequent data analysis workloads.
- Users say that Snowflake stands out for its scalability due to its unique architecture that separates storage from compute. This feature allows for straightforward scaling, which users appreciate, as one reviewer mentioned, "Query performance stays fast even when working with large datasets."
- Reviewers mention that Google Cloud BigQuery's serverless architecture makes it very easy to implement and use, particularly for those new to data analytics. Users have praised its intuitive design, stating, "It provides many built-in features for large-scale analytics and integrates well with other services in Google Cloud."
- According to verified reviews, Snowflake is recognized for its user-friendly interface and versatility in data warehousing tasks. Users appreciate the ability to build ETL processes using SQL, with one reviewer noting, "It helps me with ETL, ML, and data warehousing capabilities for my day-to-day data engineering work."
- G2 reviewers highlight that Google Cloud BigQuery offers a free tier, making it an attractive option for smaller datasets and cost-conscious users. This feature is particularly beneficial for enterprises looking to manage expenses while still leveraging powerful analytics tools.
- Users report that while Snowflake has strong BI tool integration, it sometimes faces challenges in terms of overall cost, as it operates on a pay-per-use model starting at $2 per compute hour. This pricing structure can be a consideration for businesses with fluctuating data processing needs.
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
Snowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
Google Cloud BigQuery
Free Trial is available
Snowflake
Free Trial is available
Ratings
Meets Requirements
8.8
634
9.1
566
Ease of Use
8.7
651
9.0
602
Ease of Setup
8.7
423
9.0
386
Ease of Admin
8.5
225
8.6
211
Quality of Support
8.3
576
8.7
519
Has the product been a good partner in doing business?
8.6
219
9.0
213
Product Direction (% positive)
9.3
619
9.2
535
Features by Category
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
8.6
122
Not enough data
8.3
120
Not enough data
Functionality
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
Not enough data
Deployment
Not enough data
9.2
13
Not enough data
9.0
13
Not enough data
9.1
13
Not enough data
9.4
13
Not enough data
9.4
13
Deployment
Not enough data
9.4
11
Not enough data
9.5
11
Not enough data
9.5
11
Not enough data
9.5
11
Not enough data
9.4
11
Management
Not enough data
9.0
13
Not enough data
9.0
12
Not enough data
9.2
13
Not enough data
9.1
13
Operations
Not enough data
8.9
11
Not enough data
8.9
11
Not enough data
9.5
11
Management
Not enough data
9.2
11
Not enough data
9.3
10
Not enough data
8.8
11
Generative AI
Not enough data
8.6
11
Not enough data
8.5
11
System
Not enough data
9.2
30
Model Development
Not enough data
9.1
31
Not enough data
8.6
29
Not enough data
8.3
29
Not enough data
8.8
30
Model Development
Not enough data
8.8
28
Machine/Deep Learning Services
Not enough data
8.6
29
Not enough data
8.6
29
Not enough data
8.4
29
Not enough data
8.4
28
Machine/Deep Learning Services
Not enough data
8.6
28
Not enough data
8.5
25
Deployment
Not enough data
9.1
31
Not enough data
9.0
28
Not enough data
9.2
30
Generative AI
Not enough data
8.5
27
Not enough data
8.4
26
Not enough data
8.5
26
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.3
14
Not enough data
8.3
14
Not enough data
8.5
14
Not enough data
8.6
14
Not enough data
8.3
14
Not enough data
8.4
15
Not enough data
8.3
14
Data Management
8.9
227
|
Verified
9.1
215
|
Verified
8.3
210
|
Verified
8.9
178
|
Verified
8.9
217
|
Verified
9.1
189
|
Verified
8.6
220
|
Verified
8.4
190
|
Verified
8.3
204
|
Verified
8.3
165
|
Verified
8.6
201
|
Verified
8.8
169
|
Verified
Integration
8.5
205
|
Verified
8.4
161
|
Verified
8.6
217
|
Verified
9.1
202
|
Verified
8.6
201
|
Verified
8.9
172
|
Verified
Deployment
7.8
187
|
Verified
7.8
148
|
Verified
9.1
226
|
Verified
9.3
207
|
Verified
Performance
9.2
238
|
Verified
9.3
221
|
Verified
Security
8.7
209
|
Verified
8.9
191
|
Verified
9.1
215
|
Verified
9.1
199
|
Verified
Generative AI
7.6
127
8.0
85
7.8
124
8.1
83
Management
Not enough data
9.0
86
Not enough data
9.1
86
Not enough data
9.4
92
Not enough data
9.0
91
Not enough data
9.1
90
Maintenance
Not enough data
9.3
88
Not enough data
9.0
88
Not enough data
9.3
90
Security
Not enough data
9.3
88
Not enough data
9.2
92
Storage
9.1
69
9.2
45
8.7
69
9.2
45
Availability
8.3
61
9.1
40
8.5
65
9.2
38
8.6
67
9.2
42
Performance
8.5
64
9.2
45
Security
8.7
69
9.1
45
8.8
68
9.2
46
8.4
68
8.9
39
8.6
64
9.2
39
Support
8.7
65
9.2
37
8.8
65
9.2
36
Centralized computation
9.0
26
9.3
26
Localized computation
8.5
27
9.1
25
Statistical Tool
8.7
78
Not enough data
9.0
78
Not enough data
8.8
80
Not enough data
Data Analysis
9.2
79
Not enough data
9.1
79
Not enough data
Decision Making
8.8
80
Not enough data
8.7
77
Not enough data
8.7
80
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
9.0
101
8.9
173
9.3
103
8.8
168
9.3
98
Integrations
8.4
136
8.7
78
8.5
133
8.7
83
Platform
8.8
150
9.1
94
8.9
165
9.0
100
8.5
133
8.7
83
Processing
9.2
168
9.3
100
9.1
161
9.1
98
Data Transformation
8.8
284
9.2
91
9.3
293
9.4
92
Connectivity
8.1
251
8.6
80
8.2
249
8.7
81
8.7
278
9.1
85
8.7
270
9.1
85
Operations
8.5
279
8.6
90
8.7
277
9.2
82
8.3
255
8.9
77
8.4
262
8.8
82
8.5
254
8.7
82
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 Snowflake are categorized as Columnar Databases, Big Data Integration Platforms, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Data Clean Room
Unique Categories
Snowflake is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Database Management Systems (DBMS), and Data Governance
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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
15.9%
Computer Software
13.6%
Retail
7.0%
Financial Services
6.6%
Marketing and Advertising
5.2%
Other
51.7%
Information Technology and Services
15.5%
Computer Software
14.0%
Financial Services
9.6%
Marketing and Advertising
4.4%
Hospital & Health Care
3.4%
Other
53.2%
Alternatives
Discussions
Is Big Query free?
3 Comments
SC
my cloud software store Read more
Is BigQuery part of Google Cloud Platform?
2 Comments
SG
Yes, bigquery is part of google cloud platform.Read more
What is Google BigQuery based on?
1 Comment
AN
Dremel: The Execution Engine
Colossus: Distributed Storage
Borg: Compute
Jupiter: The Network
Read more
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