Compare Azure Data Lake Analytics and Databricks 
At a Glance
Market Segments
Enterprise (44.4% of reviews)
Enterprise (44.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Lake Analytics
Star Rating
(37)4.2 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake AnalyticsDatabricks
Star Rating
(732)4.6 out of 5
Market Segments
Enterprise (44.7% 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 user satisfaction, boasting a significantly higher overall score compared to Azure Data Lake Analytics. 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 the positive feedback on its notebook environment, which allows for seamless transitions between data processing, analysis, and machine learning.
- According to verified reviews, Azure Data Lake Analytics is recognized for its fast and scalable solution, making it suitable for diverse industries. Users commend its ability to handle massive parallel data transformations and support for multiple programming languages like U-SQL, R, and Python.
- Reviewers mention that Databricks' Unity Catalog has been a game-changer for enterprise migrations, providing centralized governance and fine-grained access control. This feature has been particularly beneficial for organizations looking to enhance data security and compliance.
- G2 reviewers highlight that while Azure Data Lake Analytics offers a user-friendly interface, it may not match the depth of features found in Databricks. Users appreciate the simplicity of Azure's integration with the Microsoft ecosystem, but some feel it lacks the advanced capabilities needed for complex data workflows.
- Users report that Databricks has a more robust support system, with higher ratings for quality of support and ease of setup. This has led to a smoother onboarding experience, allowing teams to quickly leverage the platform's full potential without extensive training.
Pricing
Entry-Level Pricing
Azure Data Lake Analytics
No pricing availableDatabricks
No pricing availableFree Trial
Azure Data Lake Analytics
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.6
23
8.9
584
Ease of Use
8.4
23
8.9
595
Ease of Setup
8.3
11
8.7
467
Ease of Admin
8.3
11
8.4
184
Quality of Support
8.5
23
8.7
559
Has the product been a good partner in doing business?
8.6
11
8.9
188
Product Direction (% positive)
9.0
24
9.6
572
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
9.0
12
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
153
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
146
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
176
Not enough data
9.1
173
Not enough data
9.0
167
Not enough data
9.1
167
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
Not enough data
8.7
238
Not enough data
8.9
246
Not enough data
9.3
263
Integrations
Not enough data
8.3
220
Not enough data
9.1
264
Platform
Not enough data
9.0
255
Not enough data
8.9
252
Not enough data
9.1
264
Processing
Not enough data
9.0
245
Not enough data
9.0
249
Data Transformation
8.1
17
|
Verified
8.8
226
8.8
16
|
Verified
9.1
234
Connectivity
8.4
18
|
Verified
8.7
206
8.6
17
|
Verified
9.2
230
7.9
19
|
Verified
9.0
221
9.0
20
|
Verified
9.2
230
Operations
8.5
19
|
Verified
8.4
228
8.5
17
|
Verified
8.8
225
8.1
18
|
Verified
8.6
213
8.9
16
|
Verified
8.6
209
8.2
15
|
Verified
9.3
232
Building Reports
Not enough data
9.0
153
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
146
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 Data Lake Analytics and Databricks are categorized as Big Data Analytics
Unique Categories
Azure Data Lake Analytics has no unique categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, AI Agent Builders, and AI Gateways
Reviews
Reviewers' Company Size
Azure Data Lake 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
Computer Software
14.8%
Consumer Goods
11.1%
Telecommunications
7.4%
Internet
7.4%
Information Technology and Services
7.4%
Other
51.9%
Information Technology and Services
15.7%
Financial Services
10.3%
Computer Software
8.5%
Consulting
4.1%
Hospital & Health Care
3.6%
Other
57.7%
Alternatives
Discussions
Azure Data Lake Analytics has no discussions with answers
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 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 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
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