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Compare Databricks Data Intelligence Platform and Microsoft SQL Server 
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At a Glance
Market Segments
Enterprise (46.4% of reviews)
Enterprise (45.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(630)4.6 out of 5
Market Segments
Enterprise (46.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformMicrosoft SQL Server
Star Rating
(2,252)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.
- Users report that Microsoft SQL Server excels in traditional relational database management, offering robust transaction support and strong security features, while Databricks Data Intelligence Platform shines in its ability to handle big data analytics and machine learning workflows seamlessly.
- Reviewers mention that Databricks' integration with Apache Spark allows for superior performance in processing large datasets, with many users highlighting the ease of use of the Spark Integration feature, which is rated significantly higher than SQL Server's capabilities in this area.
- G2 users indicate that the Data Lake functionality in Databricks is a standout feature, providing advanced capabilities for data storage and management, whereas SQL Server's Data Lake integration is seen as less comprehensive, leading to a lower user satisfaction score.
- Users on G2 report that the cloud processing capabilities of Databricks are highly praised, with many noting the platform's ability to scale resources dynamically, which is a critical advantage over SQL Server's more static cloud offerings.
- Reviewers say that while both platforms offer solid support, Databricks has a slight edge in quality of support, with users appreciating the responsiveness and expertise of the support team, reflected in its higher score compared to SQL Server.
- Users report that Microsoft SQL Server is often favored for its ease of setup and administration, making it a strong choice for enterprises looking for a straightforward implementation, while Databricks, although slightly more complex, offers greater flexibility and power for data scientists and analysts.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableMicrosoft SQL Server
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Microsoft SQL Server
No trial information availableRatings
Meets Requirements
8.9
513
9.0
1,849
Ease of Use
8.8
522
8.6
1,865
Ease of Setup
8.6
395
8.1
986
Ease of Admin
8.3
169
8.3
947
Quality of Support
8.7
488
8.3
1,643
Has the product been a good partner in doing business?
8.8
172
8.4
897
Product Direction (% positive)
9.6
501
8.4
1,820
Features by Category
Reports
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
Not enough data
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Administration
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Not enough data
Management
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Not enough data
Compliance
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Not enough data
Security
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Not enough data
Data Quality
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Not enough data
Maintainence
8.8
81
Not enough data
8.8
80
Not enough data
Generative AI
8.4
79
Not enough data
8.5
78
Not enough data
Agentic AI - Data Governance
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Management
8.6
167
Not enough data
8.5
161
Not enough data
Functionality
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Not enough data
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Not enough data
Management
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Not enough data
Management
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
Not enough data
Model Development
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
158
Not enough data
Deployment
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Not enough data
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
Data Management
9.0
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Not enough data
Integration
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Deployment
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Performance
9.1
173
|
Verified
Not enough data
Security
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Not enough data
Generative AI
8.5
75
Not enough data
8.4
74
Not enough data
Management
Not enough data
8.9
151
Not enough data
8.9
151
Not enough data
9.2
156
Not enough data
8.9
151
Not enough data
8.9
153
Maintenance
Not enough data
8.9
151
Not enough data
9.0
156
Not enough data
9.0
152
Security
Not enough data
8.9
150
Not enough data
9.1
152
Management
Not enough data
9.1
149
Not enough data
9.2
150
Not enough data
8.8
136
Not enough data
8.9
142
Support
Not enough data
8.6
145
Not enough data
9.0
149
Not enough data
8.7
144
Not enough data
8.4
148
Security
Not enough data
8.9
148
Not enough data
9.0
148
Not enough data
8.9
145
Not enough data
9.0
148
Performance
Not enough data
8.7
144
Not enough data
8.8
141
Not enough data
8.8
147
Not enough data
8.7
145
Not enough data
8.8
146
Database Features
Not enough data
8.9
1284
Not enough data
9.0
1289
Not enough data
8.9
1296
Not enough data
8.7
1263
Not enough data
8.8
1265
Not enough data
8.8
1271
Not enough data
9.1
1291
Data Management
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Not enough data
Agentic AI - DataOps Platforms
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Analytics
8.8
64
Not enough data
8.4
63
Not enough data
Monitoring and Management
8.5
64
Not enough data
8.5
64
Not enough data
Cloud Deployment
9.1
60
Not enough data
9.0
61
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Database
8.7
219
8.5
56
8.9
225
8.8
57
9.3
226
8.4
54
Integrations
8.3
208
7.8
45
9.2
228
8.2
45
Platform
9.0
221
8.2
50
8.8
224
8.5
53
9.2
228
8.2
45
Processing
9.0
220
8.5
52
9.0
219
8.5
55
Data Transformation
8.8
219
Not enough data
9.0
226
Not enough data
Connectivity
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Not enough data
Operations
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 Data Intelligence Platform and Microsoft SQL Server are categorized as Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Microsoft SQL Server is categorized as Relational Databases, Database Management Systems (DBMS), and On-Premise Data Integration
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
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
14.7%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.1%
Information Technology and Services
24.2%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.2%
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?
3 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
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 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
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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