Introducing G2.ai, the future of software buying.Try now
Compare Google Cloud BigQuery and SQL Server 2019 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Alteryx
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Astro by Astronomer
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Help Desk Migration Services
Visit Website
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Mid-Market (35.5% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,201)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 plansSQL Server 2019
Star Rating
(82)4.5 out of 5
Market Segments
Mid-Market (35.5% 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.
- Users report that SQL Server 2019 excels in Data Integration with a score of 9.1, highlighting its robust capabilities to connect with various data sources seamlessly, while Google Cloud BigQuery follows closely with a score of 9.0, praised for its ease of integration with cloud-based data sources.
- Reviewers mention that SQL Server 2019's In-Database Machine Learning feature, scoring 7.8, is less intuitive compared to Google Cloud BigQuery's 8.3 rating, which offers a more user-friendly interface for machine learning tasks, making it easier for data scientists to implement models.
- G2 users highlight SQL Server 2019's strong performance in Data Quality with a score of 8.9, where users appreciate its built-in tools for data validation and cleansing, while Google Cloud BigQuery also performs well with a score of 8.8, but some users feel it lacks certain advanced data quality features.
- Users on G2 report that SQL Server 2019's Ease of Setup is rated at 8.3, which some find challenging due to its complex installation process, whereas Google Cloud BigQuery shines with an 8.6 rating, with users praising its straightforward setup in the cloud environment.
- Reviewers mention that SQL Server 2019's Quality of Support is rated at 8.8, with many users appreciating the extensive documentation and community support, while Google Cloud BigQuery's support, rated at 8.3, has received mixed reviews regarding response times and availability.
- Users say that SQL Server 2019's Scalability is rated at 9.3, making it a preferred choice for enterprises needing to handle large datasets, while Google Cloud BigQuery, with a score of 9.1, is also recognized for its scalability but is often noted for its cost implications as data volume increases.
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
612
9.0
53
Ease of Use
8.7
626
8.9
53
Ease of Setup
8.8
401
8.3
21
Ease of Admin
8.5
224
8.3
18
Quality of Support
8.4
564
8.8
47
Has the product been a good partner in doing business?
8.7
217
8.3
17
Product Direction (% positive)
9.2
600
9.3
48
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
9.1
33
|
Verified
8.3
214
|
Verified
8.8
30
|
Verified
8.9
219
|
Verified
8.9
31
|
Verified
8.6
215
|
Verified
8.4
27
|
Verified
8.3
204
|
Verified
7.8
19
|
Verified
8.7
205
|
Verified
8.4
19
|
Verified
Integration
8.6
204
|
Verified
7.9
20
|
Verified
8.6
216
|
Verified
8.2
25
|
Verified
8.6
204
|
Verified
8.2
21
|
Verified
Deployment
7.8
190
|
Verified
8.8
26
|
Verified
9.1
215
|
Verified
8.2
29
|
Verified
Performance
9.1
220
|
Verified
8.8
31
|
Verified
Security
8.7
211
|
Verified
8.5
31
|
Verified
9.2
217
|
Verified
9.0
27
|
Verified
Generative AI
7.7
132
Not enough data
7.9
129
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
79
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
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
Generative AI
7.5
51
Not enough data
7.8
51
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
Not enough data
8.9
176
Not enough data
8.8
170
Not enough data
Integrations
8.4
139
Not enough data
8.6
136
Not enough data
Platform
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
170
Not enough data
9.1
164
Not enough data
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 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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Computer Software
28.6%
Information Technology and Services
18.2%
Banking
6.5%
Financial Services
5.2%
Insurance
3.9%
Other
37.7%
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
