Compare Amazon Aurora and Google Cloud BigQuery 
At a Glance
Market Segments
Small-Business (38.7% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon Aurora
Star Rating
(455)4.5 out of 5
Market Segments
Small-Business (38.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon AuroraGoogle Cloud BigQuery
Star Rating
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansAmazon Aurora vs Google Cloud BigQuery
When assessing the two solutions, reviewers found them equally easy to use. However, Google Cloud BigQuery is easier to set up , while reviewers preferred administration and ease of doing business with Amazon Aurora overall.
- Reviewers felt that Amazon Aurora meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that Amazon Aurora is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon Aurora over Google Cloud BigQuery.
Pricing
Entry-Level Pricing
Amazon Aurora
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
Amazon Aurora
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.0
408
8.8
626
Ease of Use
8.7
410
8.7
642
Ease of Setup
8.6
257
8.7
416
Ease of Admin
8.7
180
8.5
227
Quality of Support
8.7
394
8.3
573
Has the product been a good partner in doing business?
8.7
177
8.6
220
Product Direction (% positive)
9.5
394
9.3
614
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
224
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
219
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Integration
Not enough data
8.5
202
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
223
|
Verified
Performance
Not enough data
9.1
233
|
Verified
Security
Not enough data
8.7
208
|
Verified
Not enough data
9.2
214
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
Management
8.7
210
Not enough data
8.6
211
Not enough data
8.8
209
Not enough data
8.9
212
Not enough data
Support
8.4
208
Not enough data
8.6
215
Not enough data
8.4
207
Not enough data
8.6
205
Not enough data
Security
8.7
204
Not enough data
8.7
206
Not enough data
8.9
207
Not enough data
8.8
205
Not enough data
Performance
8.9
208
Not enough data
8.8
205
Not enough data
8.8
204
Not enough data
8.6
203
Not enough data
8.5
203
Not enough data
Database Features
9.1
295
Not enough data
9.2
294
Not enough data
8.9
292
Not enough data
9.2
288
Not enough data
9.0
288
Not enough data
8.5
284
Not enough data
8.6
292
Not enough data
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
Configuration
8.9
206
Not enough data
8.6
192
Not enough data
8.6
203
Not enough data
8.3
183
Not enough data
8.8
199
Not enough data
Database Administration
8.7
198
Not enough data
8.6
182
Not enough data
8.5
182
Not enough data
Availability
9.0
198
Not enough data
9.1
196
Not enough data
8.8
189
Not enough data
8.7
189
Not enough data
Security
8.7
134
Not enough data
8.6
134
Not enough data
8.6
127
Not enough data
Data Management
8.9
135
Not enough data
8.5
126
Not enough data
Database
Not enough data
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Integrations
Not enough data
8.4
136
Not enough data
8.5
133
Platform
Not enough data
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Processing
Not enough data
9.2
168
Not enough data
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
279
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
Amazon Aurora and Google Cloud BigQuery share no categories
Unique Categories
Amazon Aurora is categorized as Database as a Service (DBaaS) and Relational Databases
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Amazon Aurora
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
22.7%
Computer Software
21.3%
Computer & Network Security
4.9%
Financial Services
4.2%
Education Management
3.7%
Other
43.2%
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.7%
Alternatives
Discussions
What is Amazon Aurora vs RDS?
2 Comments
AR
AWS (Amazon Web Services) offers both Amazon Aurora and Amazon Relational Database Service (RDS) as database services, however, they have slightly different...Read more
What is Amazon Aurora used for?
2 Comments
HA
Amazon Aurora is a fully managed relational database engine designed for the cloud, compatible with MySQL and PostgreSQL. It's used for providing high...Read more
Amazon Aurora has no more discussions with answers
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
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