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Compare Google Cloud BigQuery and Snowplow 
At a Glance
Market Segments
Enterprise (39.6% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
Free
Contact Us Per Year
Google Cloud BigQuery
Star Rating
(1,146)4.5 out of 5
Market Segments
Enterprise (39.6% of reviews)
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)
Entry-Level Pricing
Contact Us Per Year
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in its real-time analytics capabilities, with a score of 8.8, allowing for immediate insights into data, while Snowplow's real-time data collection is rated higher at 9.0, indicating a stronger performance in this area.
- Reviewers mention that Google Cloud BigQuery's data integration features are robust, scoring 9.0, which facilitates seamless connections with various data sources. In contrast, Snowplow shines with a perfect score of 10.0 in extraction, indicating superior capabilities in pulling data from diverse platforms.
- G2 users highlight that Google Cloud BigQuery offers a more user-friendly setup experience with a score of 8.6, making it easier for new users to get started. However, Snowplow's setup is rated lower at 6.4, suggesting that users may face challenges during initial configuration.
- Reviewers mention that Snowplow provides excellent customer support, scoring 8.9, which is higher than Google Cloud BigQuery's score of 8.3. This indicates that users may find more responsive assistance with Snowplow when encountering issues.
- Users on G2 report that Google Cloud BigQuery's data quality management features are effective, with a score of 8.8, ensuring reliable data for analysis. Snowplow, while also strong in this area, has a slightly lower score of 8.6, suggesting room for improvement.
- Users say that Google Cloud BigQuery's scalability is impressive, with a score of 9.3, allowing businesses to grow without performance issues. Snowplow also performs well with a score of 9.5, indicating it may handle larger datasets even more efficiently.
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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
565
9.2
28
Ease of Use
8.7
577
8.1
28
Ease of Setup
8.6
337
6.4
18
Ease of Admin
8.5
216
7.5
19
Quality of Support
8.3
519
8.9
25
Has the product been a good partner in doing business?
8.7
210
9.0
16
Product Direction (% positive)
9.2
554
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
8.3
71
Not enough data
8.1
69
Not enough data
Functionality
8.7
69
Not enough data
8.8
72
Not enough data
8.8
72
Not enough data
8.8
73
Not enough data
9.2
72
Not enough data
Data Management
8.8
147
|
Verified
Not enough data
8.1
140
|
Verified
Not enough data
8.7
144
|
Verified
Not enough data
8.4
140
|
Verified
Not enough data
8.1
129
|
Verified
Not enough data
8.6
131
|
Verified
Not enough data
Integration
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Not enough data
Deployment
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Not enough data
Performance
9.1
145
|
Verified
Not enough data
Security
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Not enough data
Generative AI
7.6
58
Not enough data
7.6
56
Not enough data
Storage
8.8
52
Not enough data
8.5
51
Not enough data
Availability
8.3
45
Not enough data
8.5
48
Not enough data
8.3
50
Not enough data
Performance
8.5
48
Not enough data
Security
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Not enough data
Support
8.5
48
Not enough data
8.7
46
Not enough data
Centralized computation
8.3
11
Not enough data
Localized computation
8.1
12
Not enough data
Statistical Tool
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Not enough data
Data Analysis
9.2
52
Not enough data
9.1
53
Not enough data
Decision Making
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Not enough data
Generative AI
7.5
27
Not enough data
7.5
27
Not enough data
Marketing Operations
8.9
49
Not enough data
9.1
47
Not enough data
9.0
48
Not enough data
9.4
49
Not enough data
9.0
46
Not enough data
8.6
46
Not enough data
Campaign Activity
9.1
51
Not enough data
9.4
50
Not enough data
8.7
47
Not enough data
9.2
45
Not enough data
8.9
47
Not enough data
9.2
48
Not enough data
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.6
134
9.0
17
8.8
132
8.8
13
8.5
126
8.3
12
Integrations
8.0
96
9.7
5
8.3
93
8.8
7
Platform
8.6
109
9.0
12
8.6
124
8.9
12
8.3
93
8.8
7
Processing
9.1
126
9.2
15
8.9
120
9.0
16
Data Transformation
8.8
236
Not enough data
9.3
243
Not enough data
Connectivity
8.0
205
Not enough data
8.1
204
Not enough data
8.7
231
Not enough data
8.7
223
Not enough data
Operations
8.4
233
Not enough data
8.6
230
Not enough data
8.3
209
Not enough data
8.3
216
Not enough data
8.5
207
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
14.2%
Computer Software
14.0%
Retail
7.6%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
52.1%
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%
Most Helpful Reviews
Google Cloud BigQuery
Most Helpful Favorable Review
Shailendra P.
Verified User in Retail
I like how it's integrated with our cloud produtcs making development and over all architecture seamless. I like the interface to create manage and use datasets!
Most Helpful Critical Review
Chris H.
Verified User in Computer Software
Cons: Resource limits. Because of how Google Cloud BigQuery uses nodes, typical SQL processes involving window functions can fail. We've regularly hit resources exceeded limits on data sets of a few million records, which seems absurd these days....
Snowplow
Most Helpful Favorable Review
Mark J.
Verified User in Higher Education
We've been using SnowPlow here at General Assembly for almost 7 years. We started with the opensource version and decided to move to Enterprise so we didn't have to use data engineering resources to maintain and upgrade the pipeline, which has saved us a...
Most Helpful Critical Review
Shailendra P.
Verified User in Retail
I like how it's integrated with our cloud produtcs making development and over all architecture seamless. I like the interface to create manage and use datasets!
Mark J.
Verified User in Higher Education
We've been using SnowPlow here at General Assembly for almost 7 years. We started with the opensource version and decided to move to Enterprise so we didn't have to use data engineering resources to maintain and upgrade the pipeline, which has saved us a...
Chris H.
Verified User in Computer Software
Cons: Resource limits. Because of how Google Cloud BigQuery uses nodes, typical SQL processes involving window functions can fail. We've regularly hit resources exceeded limits on data sets of a few million records, which seems absurd these days....
Alternatives
Discussions
Is Big Query free?
3 comments
BG
NoRead more
Yes, BigQuery is a 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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