Compare Databricks and SQL Server 2019 
At a Glance
Market Segments
Enterprise (44.8% of reviews)
Mid-Market (36.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(724)4.6 out of 5
Market Segments
Enterprise (44.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSQL 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 Databricks excels in simplifying the entire data workflow, allowing users to manage data processing, analysis, and machine learning all in one place. The notebook environment is particularly praised for its user-friendly interface, making it easier for teams to collaborate and streamline their processes.
- Users say that SQL Server 2019 offers impressive compatibility with big data, enabling seamless management of both conventional and large datasets. Reviewers highlight features like advanced indexing and optimized data retrieval, which significantly enhance the handling of complex queries.
- According to verified reviews, Databricks stands out for its robust features such as Unity Catalog, which provides centralized governance and fine-grained access control. This has been a game-changer for enterprises migrating from traditional architectures, ensuring better data management and security.
- Reviewers mention that SQL Server 2019 is recognized for its ease of use, with many users appreciating its straightforward integration with tools like Anaconda and Power BI. This makes it a favorable choice for teams looking to enhance their data management capabilities without a steep learning curve.
- G2 reviewers highlight that while both platforms offer solid support, SQL Server 2019 has a slight edge in quality of support, with users noting responsive assistance and helpful resources. This can be crucial for organizations that require reliable support during implementation and ongoing use.
- Users express that Databricks has a higher overall satisfaction rating, reflecting its strong market presence and innovative features. With a focus on enterprise needs, it appeals to larger organizations looking for comprehensive data solutions, while SQL Server 2019 is often favored by mid-market users for its established capabilities.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSQL Server 2019
No pricing availableFree Trial
Databricks
Free Trial is available
SQL Server 2019
No trial information availableRatings
Meets Requirements
8.9
574
9.0
54
Ease of Use
8.9
585
9.0
54
Ease of Setup
8.7
457
8.4
22
Ease of Admin
8.3
183
8.3
18
Quality of Support
8.7
549
8.8
48
Has the product been a good partner in doing business?
8.9
187
8.3
17
Product Direction (% positive)
9.6
562
9.3
49
Features by Category
Reports
8.3
12
Not enough data
7.7
10
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
145
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
88
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
173
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
9.1
33
|
Verified
8.9
180
|
Verified
8.8
30
|
Verified
8.9
179
|
Verified
8.9
31
|
Verified
8.8
180
|
Verified
8.4
27
|
Verified
8.7
167
|
Verified
7.8
19
|
Verified
9.1
171
|
Verified
8.4
19
|
Verified
Integration
8.8
168
|
Verified
7.9
20
|
Verified
8.8
166
|
Verified
8.2
25
|
Verified
9.1
174
|
Verified
8.2
21
|
Verified
Deployment
7.9
156
|
Verified
8.8
26
|
Verified
9.1
178
|
Verified
8.2
29
|
Verified
Performance
9.1
177
|
Verified
8.8
32
|
Verified
Security
8.8
168
|
Verified
8.5
31
|
Verified
8.9
168
|
Verified
9.0
27
|
Verified
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Management
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
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
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
237
Not enough data
8.9
243
Not enough data
9.3
257
Not enough data
Integrations
8.3
220
Not enough data
9.1
258
Not enough data
Platform
9.0
250
Not enough data
8.8
248
Not enough data
9.1
258
Not enough data
Processing
9.0
243
Not enough data
9.0
246
Not enough data
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
230
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
145
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 SQL Server 2019 are categorized as Data Warehouse
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
SQL Server 2019 has no unique categories
Reviews
Reviewers' Company Size
Databricks
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
15.7%
Financial Services
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
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
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
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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