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Compare Google Cloud BigQuery and Microsoft SQL Server 
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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Enterprise (45.6% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,202)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansMicrosoft SQL Server
Star Rating
(2,252)4.4 out of 5
Market Segments
Enterprise (45.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Microsoft SQL ServerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Microsoft SQL Server excels in enterprise environments, with a strong focus on security features and robust transaction support, making it a preferred choice for organizations with complex data needs.
- Reviewers mention that Google Cloud BigQuery shines in its cloud processing capabilities, particularly with its serverless architecture, allowing for seamless scalability and efficient handling of large datasets without the need for extensive setup.
- G2 users highlight that Microsoft SQL Server has a slightly higher ease of use rating, particularly for users familiar with traditional database management systems, while Google Cloud BigQuery is praised for its intuitive interface and ease of setup, especially for new users.
- Users on G2 report that both products have comparable data distribution capabilities, but Google Cloud BigQuery is noted for its superior integration with machine learning tools, enhancing data preparation and analysis workflows.
- Reviewers say that while both platforms offer solid support, Google Cloud BigQuery's product direction is viewed more positively, with users appreciating the frequent updates and enhancements that align with modern data processing needs.
- Users report that Microsoft SQL Server's integration with Hadoop is less robust compared to Google Cloud BigQuery, which offers better support for big data processing and analytics, making it a more attractive option for organizations leveraging big data technologies.
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
Microsoft SQL Server
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Microsoft SQL Server
No trial information availableRatings
Meets Requirements
8.8
612
9.0
1,847
Ease of Use
8.7
626
8.6
1,863
Ease of Setup
8.8
401
8.1
984
Ease of Admin
8.5
224
8.3
945
Quality of Support
8.4
564
8.3
1,641
Has the product been a good partner in doing business?
8.7
217
8.4
895
Product Direction (% positive)
9.2
600
8.4
1,818
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Not enough data
Data Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.2
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
Management
Not enough data
8.9
150
Not enough data
8.9
150
Not enough data
9.2
155
Not enough data
8.9
150
Not enough data
8.9
152
Maintenance
Not enough data
8.9
150
Not enough data
9.0
155
Not enough data
9.0
151
Security
Not enough data
8.9
149
Not enough data
9.1
151
Management
Not enough data
9.1
147
Not enough data
9.2
148
Not enough data
8.8
134
Not enough data
8.9
140
Support
Not enough data
8.6
143
Not enough data
9.1
147
Not enough data
8.7
142
Not enough data
8.5
146
Security
Not enough data
8.9
146
Not enough data
9.1
146
Not enough data
8.9
143
Not enough data
9.0
146
Performance
Not enough data
8.8
142
Not enough data
8.9
139
Not enough data
8.8
145
Not enough data
8.7
143
Not enough data
8.9
144
Database Features
Not enough data
8.9
1282
Not enough data
9.0
1287
Not enough data
8.9
1294
Not enough data
8.7
1261
Not enough data
8.8
1263
Not enough data
8.8
1269
Not enough data
9.1
1289
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
77
Not enough data
9.0
78
Not enough data
8.8
78
Not enough data
Data Analysis
9.3
77
Not enough data
9.1
78
Not enough data
Decision Making
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.6
50
Not enough data
7.9
50
Not enough data
Marketing Operations
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Database
8.8
178
8.6
55
8.9
176
8.8
56
8.8
170
8.4
53
Integrations
8.4
139
7.8
44
8.6
136
8.3
44
Platform
8.9
153
8.3
49
8.9
168
8.6
52
8.6
136
8.3
44
Processing
9.3
170
8.6
51
9.1
164
8.5
54
Data Transformation
8.8
288
Not enough data
9.3
295
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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 Microsoft SQL Server 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
Microsoft SQL Server is categorized as Relational Databases, Database Management Systems (DBMS), and On-Premise Data Integration
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft SQL Server
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
16.2%
Computer Software
13.6%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.6%
Information Technology and Services
24.2%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.3%
Higher Education
2.9%
Other
49.6%
Alternatives
Discussions
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
How could I make much easier the experience with the order of my database?
4 Comments
AF
You can create different tables with your employee information eg employee table, employee roles etc. Then you can create a single view that will pull data...Read more
What is the best way to save your queries?
4 Comments
CA
I recommend that you use the saved querys in plain text or .sql or txt format you can use the same sql server query creator or a notepad +++ tool, they are...Read more
How can I work on the same query if the connection is lost (timeout) and then I reconnect?
4 Comments
JE
When this happens to me in SQL Server Management Studio, I just have to type USE {your database name here} and then select only that statement and execute...Read more
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