2026 Best Software Awards are here!See the list
Compare AWS Lake Formation and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Small-Business (45.2% of reviews)
Enterprise (38.0% of reviews)
Entry-Level Pricing
No pricing available
Free
AWS Lake Formation
Star Rating
(36)4.4 out of 5
Market Segments
Small-Business (45.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS Lake FormationGoogle Cloud BigQuery
Star Rating
(1,211)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
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 AWS Lake Formation. 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 BigQuery's implementation process is praised for its intuitive onboarding, allowing users to quickly get started without extensive setup. In contrast, AWS Lake Formation, while noted for its simple data lake setup, has fewer recent reviews, which may indicate less user engagement.
- Users say that Google Cloud BigQuery's performance is outstanding, with the ability to handle billions of queries efficiently. This capability is highlighted by its pay-as-you-go model, which simplifies operations and encourages experimentation with larger datasets, a feature that many find beneficial.
- Reviewers mention that AWS Lake Formation offers strong integration with AWS services and automated data cataloging, making it easy to manage data access. However, some users feel that it lacks the same level of performance and scalability that BigQuery provides, particularly for larger datasets.
- G2 reviewers highlight that both products have similar scores for ease of use, but Google Cloud BigQuery stands out with its high-quality support and resources available for users. In contrast, while AWS Lake Formation has a solid support rating, it does not match the volume of positive feedback seen for BigQuery.
- Users report that Google Cloud BigQuery's advanced features, such as BigQuery ML and AI tooling integration, enhance its functionality for data analysis and machine learning tasks. AWS Lake Formation, while effective for data protection and sharing, may not offer the same level of advanced analytical capabilities.
Pricing
Entry-Level Pricing
AWS Lake Formation
No pricing availableGoogle 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
Free Trial
AWS Lake Formation
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.8
25
8.8
617
Ease of Use
8.7
25
8.7
633
Ease of Setup
8.3
10
8.8
408
Ease of Admin
8.0
9
8.5
225
Quality of Support
8.3
24
8.4
566
Has the product been a good partner in doing business?
9.0
8
8.6
218
Product Direction (% positive)
10.0
21
9.3
606
Features by Category
Management
Not enough data
8.6
121
Not enough data
8.3
119
Functionality
Not enough data
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
Data Management
Not enough data
8.9
220
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.3
203
|
Verified
Not enough data
8.7
200
|
Verified
Integration
Not enough data
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.6
200
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
216
|
Verified
Performance
Not enough data
9.1
225
|
Verified
Security
Not enough data
8.7
207
|
Verified
Not enough data
9.1
213
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
8.0
11
8.8
175
8.6
11
8.9
173
8.6
12
8.7
167
Integrations
8.0
9
8.4
136
8.7
10
8.5
133
Platform
8.3
7
8.9
151
7.6
7
8.9
165
8.7
10
8.5
133
Processing
8.5
8
9.2
168
8.5
8
9.1
161
Data Transformation
Not enough data
8.8
283
Not enough data
9.3
293
Connectivity
Not enough data
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Operations
Not enough data
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
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
AWS Lake Formation and Google Cloud BigQuery are categorized as Big Data Processing and Distribution and Big Data Integration Platforms
Unique Categories
AWS Lake Formation has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, ETL Tools, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
AWS Lake Formation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
22.6%
Banking
9.7%
Retail
6.5%
Management Consulting
6.5%
Higher Education
6.5%
Other
48.4%
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.8%
Alternatives
Discussions
AWS Lake Formation has no discussions with answers
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
