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- AWS Lake Formation-vs-Google Cloud BigQuery
Compare AWS Lake Formation and Google Cloud BigQuery 
At a Glance
Market Segments
Small-Business (43.8% of reviews)
Enterprise (39.6% of reviews)
Entry-Level Pricing
No pricing available
Free
AWS Lake Formation
Star Rating
(37)4.4 out of 5
Market Segments
Small-Business (43.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about AWS Lake FormationGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while AWS Lake Formation, although strong, has a slightly lower integration score of 8.6. Reviewers mention that BigQuery's ability to handle large datasets efficiently is a significant advantage for enterprise users.
- Reviewers mention that Google Cloud BigQuery's real-time analytics capabilities are impressive, scoring 8.8, which allows for immediate insights and decision-making. In contrast, AWS Lake Formation's real-time data collection is rated lower at 8.0, leading some users to feel it lacks the immediacy needed for fast-paced environments.
- G2 users highlight that Google Cloud BigQuery's data quality score of 8.8 is a standout feature, with many reviewers praising its robust data validation processes. AWS Lake Formation, while still effective, has a lower score of 8.0 in this area, leading some users to express concerns about data integrity.
- Users on G2 report that Google Cloud BigQuery's scalability is a major strength, with a score of 9.3, making it ideal for growing businesses. In comparison, AWS Lake Formation's scalability score of 8.5 has led some users to feel it may not handle rapid growth as effectively.
- Reviewers mention that AWS Lake Formation shines in data governance with a score of 9.1, providing robust security features that users appreciate. Google Cloud BigQuery, while strong in security, has a slightly lower governance score of 8.8, which some users feel could be improved for compliance-heavy industries.
- Users say that Google Cloud BigQuery's built-in data analytics features, scoring 8.6, are user-friendly and powerful, allowing for easy data exploration. Conversely, AWS Lake Formation's analytics capabilities, while effective, are perceived as less intuitive, leading to a lower score of 8.0, according to some reviewers.
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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
26
8.8
565
Ease of Use
8.6
26
8.7
577
Ease of Setup
8.2
11
8.6
337
Ease of Admin
8.0
9
8.5
216
Quality of Support
8.3
25
8.3
519
Has the product been a good partner in doing business?
9.0
8
8.7
210
Product Direction (% positive)
10.0
22
9.2
554
Features by Category
Management
Not enough data
8.3
71
Not enough data
8.1
69
Functionality
Not enough data
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
Data Management
Not enough data
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
Integration
Not enough data
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Deployment
Not enough data
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Performance
Not enough data
9.1
145
|
Verified
Security
Not enough data
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Generative AI
Not enough data
7.6
58
Not enough data
7.6
56
Storage
Not enough data
8.8
52
Not enough data
8.5
51
Availability
Not enough data
8.3
45
Not enough data
8.5
48
Not enough data
8.3
50
Performance
Not enough data
8.5
48
Security
Not enough data
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Support
Not enough data
8.5
48
Not enough data
8.7
46
Centralized computation
Not enough data
8.3
11
Localized computation
Not enough data
8.1
12
Statistical Tool
Not enough data
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Data Analysis
Not enough data
9.2
52
Not enough data
9.1
53
Decision Making
Not enough data
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Generative AI
Not enough data
7.5
27
Not enough data
7.5
27
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.0
11
8.6
134
8.6
11
8.8
132
8.6
12
8.5
126
Integrations
8.0
9
8.0
96
8.7
10
8.3
93
Platform
8.3
7
8.6
109
7.6
7
8.6
124
8.7
10
8.3
93
Processing
8.5
8
9.1
126
8.5
8
8.9
120
Data Transformation
Not enough data
8.8
236
Not enough data
9.3
243
Connectivity
Not enough data
8.0
205
Not enough data
8.1
204
Not enough data
8.7
231
Not enough data
8.7
223
Operations
Not enough data
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
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
25.0%
Banking
9.4%
Retail
6.3%
Management Consulting
6.3%
Higher Education
6.3%
Other
46.9%
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%
Most Helpful Reviews
AWS Lake Formation
Most Helpful Favorable Review
Rohit N.
Verified User in Banking
It's easy to use and very fast to build a data lake structure for your organization using AWS Lake formation. It simplifies the security policies aspect of data ingestion and the data from multiple sources to Amazon S3. Users can further clean the data...
Most Helpful Critical Review
Verified User in Medical Practice
Na as of now in feature if any i will udate
Google Cloud BigQuery
Most Helpful Favorable Review
Verified User in Information Technology and Services
Google Query is super easy to use along with fast processing of data. For a new user it is easy to begin with and once he gets accustomed to it can easily switch more complex nuances of GCP
Most Helpful Critical Review
Verified User in Logistics and Supply Chain
Needs technical understanding and competent manpower
Rohit N.
Verified User in Banking
It's easy to use and very fast to build a data lake structure for your organization using AWS Lake formation. It simplifies the security policies aspect of data ingestion and the data from multiple sources to Amazon S3. Users can further clean the data...
Verified User in Information Technology and Services
Google Query is super easy to use along with fast processing of data. For a new user it is easy to begin with and once he gets accustomed to it can easily switch more complex nuances of GCP
Verified User in Medical Practice
Na as of now in feature if any i will udate
Verified User in Logistics and Supply Chain
Needs technical understanding and competent manpower
Alternatives
Discussions
AWS Lake Formation has no discussions with answers
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
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