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Compare Azure Synapse Analytics and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Mid-Market (39.4% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Azure Synapse Analytics
Star Rating
(34)4.4 out of 5
Market Segments
Mid-Market (39.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Azure Synapse AnalyticsGoogle 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Azure Synapse Analytics. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel efficient and streamlined.
- Users say that BigQuery's implementation process is notably quick and intuitive, with many highlighting its pay-as-you-go model that simplifies operations and allows for experimentation with larger datasets. In contrast, Azure Synapse Analytics, while offering a comprehensive suite of services, may not match the same level of ease in initial setup.
- Reviewers mention that Google Cloud BigQuery's performance in handling large queries is impressive, with users noting its ability to process billions of queries efficiently. This capability positions it as a strong choice for enterprises needing robust data processing solutions, while Azure Synapse Analytics, despite its scalability, may not deliver the same speed in high-demand scenarios.
- According to verified reviews, Azure Synapse Analytics shines with its integrated user interface, Synapse Studio, which many find user-friendly and conducive to managing multiple services under one roof. However, some users feel that this integration can lead to a steeper learning curve compared to BigQuery's straightforward SQL focus.
- G2 reviewers highlight that both platforms offer strong support for data integration, but BigQuery's seamless integration with AI tools like BigQuery ML is particularly praised. Users appreciate how this feature enhances their data analysis capabilities, while Azure Synapse Analytics also provides deep integration with Azure Machine Learning, though it may not be as widely recognized for this strength.
- Users report that while both platforms are capable of real-time analytics, BigQuery's performance in this area is often rated higher, with users enjoying its real-time data collection capabilities. Azure Synapse Analytics, while competitive, has received mixed feedback regarding its speed in delivering real-time insights.
Pricing
Entry-Level Pricing
Azure Synapse Analytics
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
Azure Synapse Analytics
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.8
26
8.8
616
Ease of Use
8.8
27
8.7
632
Ease of Setup
8.5
9
8.8
407
Ease of Admin
9.0
8
8.5
224
Quality of Support
8.6
22
8.4
565
Has the product been a good partner in doing business?
8.3
8
8.6
217
Product Direction (% positive)
8.3
27
9.3
605
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
215
|
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
224
|
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
7.8
6
8.8
175
8.3
6
8.9
173
8.6
6
8.7
167
Integrations
Not enough data
8.4
136
8.9
6
8.5
133
Platform
8.1
6
8.9
151
8.3
6
8.9
165
8.9
6
8.5
133
Processing
8.6
6
9.2
168
8.6
6
9.1
161
Data Transformation
8.9
9
8.8
283
8.5
10
9.3
293
Connectivity
8.8
8
8.1
251
9.4
9
8.2
249
8.8
10
8.7
278
9.4
9
8.7
269
Operations
8.7
9
8.5
278
9.0
10
8.7
277
8.5
8
8.3
255
8.8
8
8.4
262
8.8
10
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
Azure Synapse Analytics and Google Cloud BigQuery are categorized as Big Data Processing and Distribution, Big Data Analytics, and Big Data Integration Platforms
Unique Categories
Azure Synapse Analytics has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, ETL Tools, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Azure Synapse Analytics
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
48.5%
Hospital & Health Care
12.1%
Computer Software
12.1%
Retail
6.1%
Computer & Network Security
6.1%
Other
15.2%
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%
Alternatives
Discussions
Azure Synapse Analytics 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
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