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Compare Google Cloud BigQuery and Snowplow 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
Free
Contact Us Per Year
Google 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 plansSnowplow
Star Rating
(31)4.6 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us Per Year
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user experience, with many praising its serverless architecture that allows users to focus on data analysis without worrying about infrastructure. Users highlight its ability to handle billions of queries efficiently, making it a top choice for those needing robust data processing capabilities.
- Users say that Snowplow offers a unique advantage in terms of data autonomy, allowing businesses to customize their data usage according to specific needs. Reviewers appreciate the granular data access, which enables them to build tailored downstream products, showcasing its flexibility compared to more rigid SaaS tools.
- According to verified reviews, Google Cloud BigQuery stands out for its ease of setup, with users noting a smooth onboarding process that simplifies initial implementation. This is particularly beneficial for teams looking to quickly leverage data without extensive engineering resources.
- Reviewers mention that while Snowplow provides excellent customer support, Google Cloud BigQuery also receives high marks in this area, though slightly lower. Users appreciate the responsive support from Snowplow, which can be crucial for teams needing assistance with complex data pipelines.
- G2 reviewers highlight that Google Cloud BigQuery's pay-as-you-go model is a significant advantage, allowing users to only pay for what they use. This flexibility is particularly appealing for organizations looking to experiment with larger datasets without committing to fixed costs upfront.
- Users report that Snowplow's Hadoop integration is a strong point, with many finding it superior for specific data engineering tasks. However, Google Cloud BigQuery also offers solid integration capabilities, making it a competitive option for teams that rely on various data processing frameworks.
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
Snowplow
Cloud BDP
Contact Us
Per Year
BDP Cloud is designed to help teams begin their journey with behavioral data. Access Snowplow’s Industry leading Behavioral Data Platform with your pipeline is hosted and managed by Snowplow. BDP Cloud offers entry level pricing to help you realize the power of Behaviour data.
- Access to Snowplow’s leading Behavioural Data Platform
- Securely share, manage, and evolve data from the console and APIs
- Up to 80 million events a month
Free Trial
Google Cloud BigQuery
Free Trial is available
Snowplow
Free Trial is available
Ratings
Meets Requirements
8.8
616
9.2
28
Ease of Use
8.7
632
8.1
28
Ease of Setup
8.8
407
6.4
18
Ease of Admin
8.5
224
7.5
19
Quality of Support
8.4
565
8.9
25
Has the product been a good partner in doing business?
8.6
217
9.0
16
Product Direction (% positive)
9.3
605
10.0
28
Features by Category
Metrics
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
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
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
Other
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
Agentic AI - Digital Analytics
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
Product Analytics
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
Not enough data
Not enough data
Agentic AI - Product Analytics
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
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
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
Not enough data
Integration
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Not enough data
Deployment
7.7
186
|
Verified
Not enough data
9.1
216
|
Verified
Not enough data
Performance
9.1
224
|
Verified
Not enough data
Security
8.7
207
|
Verified
Not enough data
9.1
213
|
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
9.0
17
8.9
173
8.8
13
8.7
167
8.3
12
Integrations
8.4
136
9.7
5
8.5
133
8.8
7
Platform
8.9
151
9.0
12
8.9
165
8.9
12
8.5
133
8.8
7
Processing
9.2
168
9.2
15
9.1
161
9.0
16
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
278
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 Snowplow are categorized as Big Data Processing and Distribution
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowplow
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
6.4%
Marketing and Advertising
5.1%
Other
51.7%
Computer Software
16.7%
Retail
10.0%
Marketing and Advertising
10.0%
Information Technology and Services
10.0%
Financial Services
10.0%
Other
43.3%
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
Snowplow has no discussions with answers
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