Compare Azure Synapse Analytics and Databricks Data Intelligence Platform 
At a Glance
Market Segments
Enterprise (40.0% of reviews)
Enterprise (46.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Synapse Analytics
Star Rating
(41)4.5 out of 5
Market Segments
Enterprise (40.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Synapse AnalyticsDatabricks Data Intelligence Platform
Star Rating
(424)4.6 out of 5
Market Segments
Enterprise (46.4% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in Workflow Management with a score of 9.3, highlighting its intuitive interface that simplifies complex processes, while Azure Synapse Analytics, with a score of 8.6, is noted for its robust Data Workflow capabilities but lacks the same level of user-friendliness.
- Reviewers mention that Databricks shines in Data Integration with a score of 9.0, allowing seamless connections to various data sources, whereas Azure Synapse Analytics, scoring 8.0, is seen as less flexible in integrating diverse data types, which can hinder some users' workflows.
- G2 users highlight the superior Model Registry feature in Databricks, scoring 8.9, which facilitates better version control and collaboration among data scientists, while Azure Synapse Analytics, with a score of 8.6, offers a solid model management system but lacks some advanced functionalities.
- Users on G2 report that Databricks provides a more comprehensive Data Lake experience, scoring 9.1, which is praised for its scalability and performance, while Azure Synapse Analytics, scoring 8.6, is noted for its capabilities but is perceived as less efficient in handling large datasets.
- Reviewers mention that Databricks' Real-Time Data Collection feature, scoring 8.4, is particularly effective for dynamic data environments, whereas Azure Synapse Analytics, with a score of 7.8, is seen as slower in processing real-time data, which can impact time-sensitive analytics.
- Users say that Databricks offers a more user-friendly Data Visualization experience, scoring 8.3, which is appreciated for its ease of use and aesthetic appeal, while Azure Synapse Analytics, scoring 8.7, is recognized for its powerful visualization tools but can be more complex for new users to navigate.
Featured Products
Sponsored
Help Desk Migration Services
(169)
Data Warehouse
Visit Website
Sponsored
Rencore Governance
(4)
Data Warehouse
Visit Website
Sponsored
Polytomic
(40)
Data Warehouse
Visit Website
Pricing
Entry-Level Pricing
Azure Synapse Analytics
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Azure Synapse Analytics
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
9.0
33
8.9
318
Ease of Use
9.0
34
8.8
320
Ease of Setup
9.1
15
8.6
205
Ease of Admin
9.2
11
8.1
92
Quality of Support
8.9
29
8.5
298
Has the product been a good partner in doing business?
8.8
11
8.6
92
Product Direction (% positive)
8.6
34
9.5
304
Features by Category
Administration
Not enough data
8.8
36
Not enough data
9.0
35
Not enough data
9.2
36
Not enough data
9.0
37
Management
Not enough data
8.7
35
Not enough data
9.0
35
Not enough data
9.0
35
Not enough data
8.8
35
Not enough data
9.1
35
Compliance
Not enough data
9.1
36
Not enough data
8.8
35
Not enough data
9.1
34
Not enough data
8.7
34
Security
Not enough data
9.0
34
Not enough data
9.0
35
Not enough data
9.1
35
Data Quality
Not enough data
9.1
35
Not enough data
8.6
35
Not enough data
9.1
35
Maintainence
Not enough data
9.0
35
Not enough data
9.0
35
Generative AI
Not enough data
8.8
35
Not enough data
9.0
35
Management
Not enough data
8.3
95
Not enough data
8.3
91
Functionality
Not enough data
9.1
98
Not enough data
9.3
99
Not enough data
9.1
100
Not enough data
8.9
93
Not enough data
9.1
96
Deployment
Not enough data
8.7
37
Not enough data
8.7
38
Not enough data
8.6
39
Not enough data
8.8
39
Not enough data
8.8
39
Deployment
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.3
41
Not enough data
8.8
40
Not enough data
9.0
40
Management
Not enough data
8.8
36
Not enough data
8.6
37
Not enough data
9.2
33
Not enough data
9.0
41
Operations
Not enough data
8.5
37
Not enough data
8.7
36
Not enough data
8.8
37
Management
Not enough data
8.7
37
Not enough data
8.4
36
Not enough data
9.2
34
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.8
99
Not enough data
8.6
94
Not enough data
7.8
95
Model Development
Not enough data
8.8
89
Not enough data
7.9
96
Not enough data
8.4
94
Not enough data
8.8
96
Model Development
Not enough data
8.4
93
Not enough data
8.7
98
Not enough data
8.5
96
Machine/Deep Learning Services
Not enough data
8.3
85
Not enough data
8.7
90
Not enough data
8.3
83
Not enough data
8.2
86
Machine/Deep Learning Services
Not enough data
8.2
85
Not enough data
8.4
86
Not enough data
8.2
85
Not enough data
8.5
87
Deployment
Not enough data
8.5
90
Not enough data
8.8
94
Not enough data
8.9
98
Deployment
Not enough data
8.4
92
Not enough data
8.7
98
Not enough data
8.8
98
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Management
Not enough data
9.1
131
|
Verified
Not enough data
8.9
130
|
Verified
Not enough data
8.7
126
|
Verified
Not enough data
8.6
128
|
Verified
Not enough data
8.6
118
|
Verified
Not enough data
9.0
121
|
Verified
Integration
Not enough data
8.8
117
|
Verified
Not enough data
8.7
118
|
Verified
Not enough data
9.0
127
|
Verified
Deployment
Not enough data
7.9
107
|
Verified
Not enough data
9.1
128
|
Verified
Performance
Not enough data
9.1
129
|
Verified
Security
Not enough data
8.6
120
|
Verified
Not enough data
8.8
121
|
Verified
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Management
Not enough data
9.0
37
Not enough data
8.2
36
Not enough data
8.5
37
Not enough data
9.0
35
Analytics
Not enough data
8.7
35
Not enough data
8.4
34
Monitoring and Management
Not enough data
8.1
35
Not enough data
8.1
35
Cloud Deployment
Not enough data
9.1
32
Not enough data
9.1
32
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Database
7.8
6
8.6
122
8.3
6
8.9
129
8.6
6
9.2
129
Integrations
Not enough data
8.3
114
8.9
6
9.2
131
Platform
8.1
6
9.0
125
8.3
6
8.8
128
8.9
6
9.2
131
Processing
8.6
6
9.0
128
8.6
6
9.0
127
Data Transformation
8.9
9
8.8
153
8.5
10
8.9
160
Connectivity
8.8
8
8.6
137
9.4
9
9.2
159
8.8
10
9.0
151
9.4
9
9.1
160
Operations
8.7
9
8.3
158
9.0
10
8.8
153
8.5
8
8.6
141
8.8
8
8.6
141
8.8
10
9.4
155
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
Azure Synapse Analytics and Databricks Data Intelligence Platform are categorized as Big Data Processing and Distribution and Big Data Analytics
Unique Categories
Azure Synapse Analytics is categorized as Big Data Integration Platforms
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Data Science and Machine Learning Platforms, Data Warehouse, and Data Governance
Reviews
Reviewers' Company Size
Azure Synapse Analytics
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
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
47.5%
Computer Software
15.0%
Hospital & Health Care
10.0%
Telecommunications
5.0%
Retail
5.0%
Other
17.5%
Information Technology and Services
15.0%
Computer Software
10.0%
Financial Services
9.5%
Marketing and Advertising
4.1%
Consulting
3.9%
Other
57.5%
Most Helpful Reviews
Azure Synapse Analytics
Most Helpful Favorable Review
Anup G.
Verified User in Information Technology and Services
SQL support, User Interface is quick to learn, Power BI Connectivity
Most Helpful Critical Review
Verified User in Management Consulting
Dislike is not specific it is a bit costly and SQL data pool connectivity needs to be improved. It hangs when a large amount of data comes from more than 100K rows also query takes time to run sometimes it gives a timeout error.
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
Anup G.
Verified User in Information Technology and Services
SQL support, User Interface is quick to learn, Power BI Connectivity
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Verified User in Management Consulting
Dislike is not specific it is a bit costly and SQL data pool connectivity needs to be improved. It hangs when a large amount of data comes from more than 100K rows also query takes time to run sometimes it gives a timeout error.
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
Alternatives
Discussions
Azure Synapse Analytics has no discussions with answers
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
Hunting for software insights?
With over 2.5 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.
