Compare Azure Synapse Analytics and Databricks 
At a Glance
Market Segments
Mid-Market (41.2% of reviews)
Enterprise (44.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Synapse Analytics
Star Rating
(36)4.4 out of 5
Market Segments
Mid-Market (41.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Synapse AnalyticsDatabricks
Star Rating
(737)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow experience, with users highlighting features like Genie, Lakehouse Connect, and streaming tables that enhance data processing and analysis. This all-in-one approach simplifies tasks, allowing users to avoid switching between multiple tools.
- Users say that Azure Synapse Analytics offers a unified platform that integrates data warehousing and big data capabilities, making it easier to query and analyze large datasets. Reviewers appreciate its seamless integration of SQL for structured queries and Apache Spark for big data processing, which streamlines their analytics solutions.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, reflecting its strong performance in areas like data lake management and real-time analytics. Users specifically mention the value of the Unity Catalog for centralized governance and fine-grained access control, which has been a game-changer for enterprise migrations.
- Reviewers mention that while Azure Synapse Analytics provides a solid unified experience, some users find it less intuitive compared to Databricks. They note that the platform can sometimes feel overwhelming due to its extensive features, which may require a steeper learning curve for new users.
- Users highlight that Databricks' ease of setup and administration is a significant advantage, with many praising its intuitive onboarding process. This contrasts with Azure Synapse Analytics, where some users have reported challenges in setup and configuration, impacting their initial experience.
- G2 reviewers indicate that both platforms offer quality support, but Databricks stands out with a higher satisfaction rating in terms of being a good business partner. Users appreciate the responsiveness and effectiveness of Databricks' support team, which enhances their overall experience with the product.
Pricing
Entry-Level Pricing
Azure Synapse Analytics
No pricing availableDatabricks
No pricing availableFree Trial
Azure Synapse Analytics
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.8
27
9.0
587
Ease of Use
8.8
28
8.9
600
Ease of Setup
8.5
10
8.7
472
Ease of Admin
8.9
9
8.4
184
Quality of Support
8.7
23
8.7
563
Has the product been a good partner in doing business?
8.3
9
8.9
188
Product Direction (% positive)
8.3
28
9.6
575
Features by Category
Reports
Not enough data
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
9.0
15
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.1
9
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
Not enough data
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
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
9.1
13
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Building Reports
Not enough data
9.0
155
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
148
Administration
Not enough data
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Management
Not enough data
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
Compliance
Not enough data
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Security
Not enough data
9.0
88
Not enough data
8.9
86
Not enough data
8.8
86
Data Quality
Not enough data
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Maintainence
Not enough data
8.7
85
Not enough data
8.8
84
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
Not enough data
8.6
172
Not enough data
8.5
164
Functionality
Not enough data
9.1
175
Not enough data
9.2
177
Not enough data
9.1
173
Not enough data
9.0
167
Not enough data
9.1
168
Deployment
Not enough data
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
Deployment
Not enough data
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
64
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
9.0
69
Operations
Not enough data
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Management
Not enough data
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
180
Model Development
Not enough data
8.7
183
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
191
Model Development
Not enough data
8.5
172
Machine/Deep Learning Services
Not enough data
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
179
Not enough data
8.7
180
Not enough data
9.0
188
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
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
Data Management
Not enough data
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
172
|
Verified
Integration
Not enough data
8.8
168
|
Verified
Not enough data
8.8
167
|
Verified
Not enough data
9.1
175
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Performance
Not enough data
9.2
179
|
Verified
Security
Not enough data
8.9
170
|
Verified
Not enough data
8.9
168
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Not enough data
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Agentic AI - DataOps Platforms
Not enough data
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
Analytics
Not enough data
8.8
67
Not enough data
8.5
67
Monitoring and Management
Not enough data
8.6
67
Not enough data
8.6
68
Cloud Deployment
Not enough data
9.0
63
Not enough data
9.0
64
Generative AI
Not enough data
8.9
36
Not enough data
8.9
36
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
7.8
6
8.7
238
8.3
6
8.9
246
8.6
6
9.3
265
Integrations
Not enough data
8.3
220
8.9
6
9.1
266
Platform
8.1
6
8.9
257
8.3
6
8.9
253
8.9
6
9.1
266
Processing
8.6
6
9.0
247
8.6
6
9.0
252
Data Transformation
8.9
9
8.8
226
8.6
11
9.1
234
Connectivity
8.8
8
8.7
206
9.5
10
9.2
230
8.9
11
9.0
221
9.4
9
9.2
230
Operations
8.7
9
8.4
228
8.6
11
8.8
226
8.5
8
8.6
213
8.8
8
8.6
209
8.8
10
9.3
232
Building Reports
Not enough data
9.0
155
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
148
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
Azure Synapse Analytics and Databricks are categorized as Big Data Processing and Distribution and Big Data Analytics
Unique Categories
Azure Synapse Analytics is categorized as Big Data Integration Platforms
Reviews
Reviewers' Company Size
Azure Synapse Analytics
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
50.0%
Hospital & Health Care
11.8%
Computer Software
11.8%
Retail
5.9%
Computer & Network Security
5.9%
Other
14.7%
Information Technology and Services
15.8%
Financial Services
10.3%
Computer Software
8.5%
Consulting
4.1%
Hospital & Health Care
3.6%
Other
57.7%
Alternatives
Discussions
Azure Synapse Analytics has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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