Compare Google Cloud BigQuery and SQL Server 2019 
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (36.4% of reviews)
Entry-Level Pricing
Free
No pricing available
Google 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 plansSQL Server 2019
Star Rating
(83)4.5 out of 5
Market Segments
Mid-Market (36.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SQL Server 2019Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user experience, particularly due to its serverless architecture which allows users to focus on data analysis without the hassle of managing infrastructure. This has led to feedback highlighting its speed and efficiency, with one user noting it can handle "billions of queries in one go."
- Users say SQL Server 2019 offers a robust solution for data management, particularly praising its compatibility with big data and advanced indexing features. Reviewers appreciate how it optimizes query performance, making it suitable for handling complex queries effectively.
- According to verified reviews, Google Cloud BigQuery's pay-as-you-go model simplifies operations and encourages experimentation with larger datasets, which is a significant advantage for users looking to scale their data analytics without upfront costs.
- Reviewers mention that SQL Server 2019 is particularly user-friendly, with many noting its ease of integration with tools like Power BI and Anaconda. This seamless integration enhances its appeal for users who require a versatile data management solution.
- G2 reviewers highlight that while SQL Server 2019 has a solid support quality, Google Cloud BigQuery's recent user feedback indicates a preference for its intuitive interface and the ability to focus on clean SQL, which contributes to a smoother data analysis experience.
- Users report that SQL Server 2019's strong performance in data security and governance is a key strength, with many feeling confident in its ability to protect sensitive information, while BigQuery also offers solid security features but is perceived as slightly less robust in this area.
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
SQL Server 2019
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
SQL Server 2019
No trial information availableRatings
Meets Requirements
8.8
626
9.0
54
Ease of Use
8.7
642
9.0
54
Ease of Setup
8.7
416
8.4
22
Ease of Admin
8.5
227
8.3
18
Quality of Support
8.3
573
8.8
48
Has the product been a good partner in doing business?
8.6
220
8.3
17
Product Direction (% positive)
9.3
614
9.3
49
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
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
Not enough data
Data Management
8.9
224
|
Verified
9.1
33
|
Verified
8.3
210
|
Verified
8.8
30
|
Verified
8.9
215
|
Verified
8.9
31
|
Verified
8.6
219
|
Verified
8.4
27
|
Verified
8.3
204
|
Verified
7.8
19
|
Verified
8.6
201
|
Verified
8.4
19
|
Verified
Integration
8.5
202
|
Verified
7.9
20
|
Verified
8.6
214
|
Verified
8.2
25
|
Verified
8.6
201
|
Verified
8.2
21
|
Verified
Deployment
7.7
186
|
Verified
8.8
26
|
Verified
9.1
223
|
Verified
8.2
29
|
Verified
Performance
9.1
233
|
Verified
8.8
32
|
Verified
Security
8.7
208
|
Verified
8.5
31
|
Verified
9.2
214
|
Verified
9.0
27
|
Verified
Generative AI
7.6
127
Not enough data
7.8
124
Not enough data
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
78
Not enough data
9.0
78
Not enough data
8.8
79
Not enough data
Data Analysis
9.3
78
Not enough data
9.1
79
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
7.5
50
Not enough data
7.8
50
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Database
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Not enough data
Integrations
8.4
136
Not enough data
8.5
133
Not enough data
Platform
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Not enough data
Processing
9.2
168
Not enough data
9.1
161
Not enough data
Data Transformation
8.8
283
Not enough data
9.3
293
Not enough data
Connectivity
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Not enough data
Operations
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
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 SQL Server 2019 are categorized as Data Warehouse
Unique Categories
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, and Data Clean Room
SQL Server 2019 has no unique categories
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SQL Server 2019
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
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.7%
Computer Software
28.2%
Information Technology and Services
17.9%
Banking
6.4%
Financial Services
5.1%
Computer & Network Security
3.8%
Other
38.5%
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
What is SQL Server 2019 used for?
1 Comment
AA
SQL Server 2019 is a popular relational database management system (RDBMS) developed by Microsoft. It is primarily used for managing and storing data in a...Read more
SQL Server 2019 has no more discussions with answers
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