Compare Databricks and Microsoft SQL Server 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Enterprise (45.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(712)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksMicrosoft SQL Server
Star Rating
(2,261)4.4 out of 5
Market Segments
Enterprise (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft SQL ServerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks Data Intelligence Platform excels in its integration of AI with the data lakehouse architecture, which has been a significant factor for many users in choosing the platform. This feature allows for enhanced data analytics and fast calculations, making it a preferred choice for organizations looking to leverage advanced analytics.
- Users say that Microsoft SQL Server is highly regarded for its stability and performance, particularly in handling transactional workloads. Reviewers appreciate its strong security features and high availability options, which are crucial for enterprise applications, making it a reliable choice for businesses that prioritize data integrity.
- According to verified reviews, Databricks stands out for its seamless integration with external tools like Power BI, which enhances reporting capabilities. This flexibility is particularly appealing to users who require robust data visualization and reporting solutions alongside their data processing needs.
- Reviewers mention that while Microsoft SQL Server integrates well within the Microsoft ecosystem, some users find it challenging to configure for specific workflows. This can lead to a steeper learning curve for teams that are not already familiar with Microsoft products.
- G2 reviewers highlight that Databricks offers a unified data engineering platform that supports cloud integration with major providers like AWS and Azure. This capability is essential for organizations looking to modernize their data infrastructure and leverage cloud technologies for scalability.
- Users report that both platforms provide solid administrative capabilities, but Databricks has a slight edge in ease of setup and overall user experience. Reviewers appreciate the intuitive onboarding process, which helps teams get up and running quickly, while Microsoft SQL Server's setup can be more complex for new users.
Pricing
Entry-Level Pricing
Databricks
No pricing availableMicrosoft SQL Server
No pricing availableFree Trial
Databricks
Free Trial is available
Microsoft SQL Server
No trial information availableRatings
Meets Requirements
8.9
567
9.0
1,854
Ease of Use
8.9
578
8.6
1,870
Ease of Setup
8.7
450
8.1
992
Ease of Admin
8.3
181
8.3
950
Quality of Support
8.7
542
8.3
1,649
Has the product been a good partner in doing business?
8.9
185
8.4
900
Product Direction (% positive)
9.6
555
8.4
1,825
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Management
Not enough data
8.9
153
Not enough data
8.8
153
Not enough data
9.2
158
Not enough data
8.9
153
Not enough data
8.9
156
Maintenance
Not enough data
8.9
154
Not enough data
9.0
159
Not enough data
9.0
154
Security
Not enough data
8.9
153
Not enough data
9.1
155
Management
Not enough data
9.0
149
Not enough data
9.2
151
Not enough data
8.8
137
Not enough data
8.8
142
Support
Not enough data
8.6
145
Not enough data
9.0
149
Not enough data
8.6
144
Not enough data
8.4
151
Security
Not enough data
8.8
148
Not enough data
9.0
148
Not enough data
8.8
145
Not enough data
9.0
149
Performance
Not enough data
8.7
144
Not enough data
8.8
141
Not enough data
8.7
147
Not enough data
8.6
145
Not enough data
8.8
146
Database Features
Not enough data
8.9
1287
Not enough data
9.0
1291
Not enough data
8.9
1299
Not enough data
8.7
1266
Not enough data
8.8
1267
Not enough data
8.8
1271
Not enough data
9.1
1291
Data Management
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
236
8.5
56
8.9
243
8.8
57
9.3
256
8.4
54
Integrations
8.3
220
7.8
45
9.1
256
8.2
45
Platform
9.0
246
8.2
50
8.8
246
8.5
53
9.1
256
8.2
45
Processing
9.0
242
8.5
52
9.0
242
8.5
55
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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
Databricks and Microsoft SQL Server are categorized as Big Data Processing and Distribution and Database Management Systems (DBMS)
Unique Categories
Microsoft SQL Server is categorized as Relational Databases and On-Premise Data Integration
Reviews
Reviewers' Company Size
Databricks
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Information Technology and Services
24.1%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.3%
Higher Education
2.9%
Other
49.6%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...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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