Compare Azure HDInsight and Databricks 
At a Glance
Market Segments
Mid-Market (42.9% of reviews)
Enterprise (43.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure HDInsight
Star Rating
(17)3.9 out of 5
Market Segments
Mid-Market (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Azure HDInsightDatabricks
Star Rating
(757)4.6 out of 5
Market Segments
Enterprise (43.9% 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 overall user satisfaction, boasting a significantly higher G2 Score compared to Azure HDInsight. Users appreciate its comprehensive features, such as Genie and Lakehouse Connect, which streamline data workflows and enhance productivity.
- Users say that Databricks simplifies the data processing experience by integrating various tools into a single platform. This is highlighted by feedback on its notebook environment, which allows for seamless transitions between data processing, analysis, and machine learning tasks.
- Reviewers mention that Azure HDInsight offers a stable and user-friendly experience, particularly praising its integration with Azure Datalake for efficient data management. The Ambari UI is also noted for making configuration changes straightforward, which can be beneficial for users looking for ease of use.
- According to verified reviews, Databricks users find its Unity Catalog to be a game-changer for enterprise migrations, providing centralized governance and fine-grained access control. This feature is a significant advantage for organizations prioritizing data security and compliance.
- G2 reviewers highlight that while Azure HDInsight is well-regarded for its data distribution capabilities, Databricks outperforms in areas like real-time data collection and cloud processing, making it a more robust choice for organizations needing real-time analytics.
- Users express mixed feelings about the support experience with both platforms. While Databricks receives positive feedback for its quality of support, Azure HDInsight users appreciate its stability but have fewer recent reviews to gauge current support effectiveness, indicating a potential area for improvement.
Pricing
Entry-Level Pricing
Azure HDInsight
No pricing availableDatabricks
No pricing availableFree Trial
Azure HDInsight
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.6
11
8.9
593
Ease of Use
8.0
11
8.9
608
Ease of Setup
8.0
5
8.7
481
Ease of Admin
9.0
5
8.3
183
Quality of Support
8.3
9
8.7
570
Has the product been a good partner in doing business?
Not enough data
8.9
187
Product Direction (% positive)
7.9
11
9.6
581
Features by Category
Reports
Not enough data
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.1
16
Data Preparation
Not enough data
9.0
7
Not enough data
9.0
8
Data Modeling and Blending
Not enough data
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Generative AI
Not enough data
9.2
10
Not enough data
9.3
7
Agentic AI - Analytics Platforms
Not enough data
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Self Service
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Deployment & Integration - Analytics Platforms
Not enough data
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Advanced Analytics
Not enough data
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Performance & Scalability - Analytics Platforms
Not enough data
9.0
8
Not enough data
9.7
5
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Personalized Intelligence - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Building Reports
Not enough data
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
149
Administration
Not enough data
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Management
Not enough data
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Compliance
Not enough data
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Security
Not enough data
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Data Quality
Not enough data
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Maintainence
Not enough data
8.7
86
Not enough data
8.8
85
Generative AI
Not enough data
8.4
83
Not enough data
8.5
82
Agentic AI - Data Governance
Not enough data
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Management
Not enough data
8.6
173
Not enough data
8.5
165
Functionality
Not enough data
9.1
177
Not enough data
9.2
179
Not enough data
9.1
174
Not enough data
9.0
168
Not enough data
9.1
170
Deployment
Not enough data
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
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
8.9
66
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
181
Model Development
Not enough data
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Model Development
Not enough data
8.5
173
Machine/Deep Learning Services
Not enough data
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Machine/Deep Learning Services
Not enough data
8.4
159
Not enough data
8.4
161
Deployment
Not enough data
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Generative AI
Not enough data
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Data Management
Not enough data
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Integration
Not enough data
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Deployment
Not enough data
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Performance
Not enough data
9.2
180
|
Verified
Security
Not enough data
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Generative AI
Not enough data
8.5
77
Not enough data
8.4
76
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
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Agentic AI - DataOps Platforms
Not enough data
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Analytics
Not enough data
8.8
68
Not enough data
8.6
68
Monitoring and Management
Not enough data
8.6
68
Not enough data
8.6
69
Cloud Deployment
Not enough data
9.0
64
Not enough data
9.0
65
Generative AI
Not enough data
9.0
37
Not enough data
8.9
37
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
8.9
6
8.7
238
9.4
6
8.9
247
Feature Not Available
9.3
265
Integrations
8.9
6
8.3
220
9.3
7
9.1
269
Platform
9.0
7
8.9
261
9.3
7
8.9
255
9.3
7
9.1
269
Processing
8.6
7
9.0
248
9.0
7
9.0
254
Data Transformation
Not enough data
8.9
229
Not enough data
9.1
237
Connectivity
Not enough data
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Operations
Not enough data
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
232
Building Reports
Not enough data
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
149
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 HDInsight and Databricks are categorized as Big Data Processing and Distribution
Unique Categories
Azure HDInsight has no unique categories
Reviews
Reviewers' Company Size
Azure HDInsight
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
Computer Software
28.6%
Education Management
14.3%
Retail
7.1%
Information Technology and Services
7.1%
Higher Education
7.1%
Other
35.7%
Information Technology and Services
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.7%
Alternatives
Discussions
Azure HDInsight 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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