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Compare Azure Data Lake Store and Databricks Data Intelligence Platform 
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At a Glance
Market Segments
Enterprise (44.4% of reviews)
Enterprise (46.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Lake Store
Star Rating
(39)4.5 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake StoreDatabricks Data Intelligence Platform
Star Rating
(631)4.6 out of 5
Market Segments
Enterprise (46.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Workflow Management with a score of 9.3, making it a preferred choice for teams needing efficient process automation. In contrast, Azure Data Lake Store has a lower score of 8.4 in this area, indicating potential limitations in managing complex workflows.
- Reviewers mention that Azure Data Lake Store shines in Real-Time Data Collection, scoring 9.1, which is crucial for businesses that rely on immediate data insights. Meanwhile, Databricks scores 8.4, suggesting it may not be as robust for real-time analytics needs.
- G2 users highlight the Data Integration capabilities of Databricks, which received a score of 9.0, indicating strong performance in combining various data sources. Conversely, Azure Data Lake Store scored slightly lower at 8.9, which may affect users looking for seamless data integration.
- Users on G2 report that Azure Data Lake Store offers superior Data Security features, scoring 8.6, which is essential for organizations handling sensitive information. In comparison, Databricks scored 8.4, suggesting it may not provide the same level of security assurance.
- Reviewers mention that Databricks provides a more user-friendly experience with a score of 8.7 in Ease of Use, while Azure Data Lake Store scored 8.6, indicating that Databricks may be easier for new users to navigate and utilize effectively.
- Users say that Databricks has a strong advantage in Model Registry with a score of 8.9, which is beneficial for teams focused on machine learning and model management. In contrast, Azure Data Lake Store scored 8.6, which may limit its appeal for data science teams looking for robust model management features.
Pricing
Entry-Level Pricing
Azure Data Lake Store
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Azure Data Lake Store
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
9.2
34
8.9
514
Ease of Use
8.7
34
8.8
523
Ease of Setup
9.2
21
8.7
396
Ease of Admin
8.5
19
8.3
169
Quality of Support
9.1
33
8.7
489
Has the product been a good partner in doing business?
8.7
18
8.8
172
Product Direction (% positive)
9.3
33
9.6
502
Features by Category
Reports
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
Not enough data
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Administration
Not enough data
8.8
93
Not enough data
8.6
90
Not enough data
9.0
91
Not enough data
8.7
92
Management
Not enough data
8.5
85
Not enough data
8.7
84
Not enough data
8.6
84
Not enough data
8.5
83
Not enough data
8.7
83
Compliance
Not enough data
8.8
91
Not enough data
8.7
90
Not enough data
8.9
89
Not enough data
8.7
89
Security
Not enough data
9.0
81
Not enough data
8.9
83
Not enough data
8.9
83
Data Quality
Not enough data
9.0
91
Not enough data
8.7
90
Not enough data
9.0
88
Maintainence
Not enough data
8.8
82
Not enough data
8.8
81
Generative AI
Not enough data
8.4
80
Not enough data
8.5
79
Agentic AI - Data Governance
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.3
9
Not enough data
8.5
9
Not enough data
9.1
9
Not enough data
9.1
9
Management
Not enough data
8.6
168
Not enough data
8.5
162
Functionality
Not enough data
9.1
169
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Deployment
Not enough data
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Management
Not enough data
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Management
Not enough data
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
Not enough data
8.8
175
Model Development
Not enough data
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Machine/Deep Learning Services
Not enough data
8.4
156
Not enough data
8.4
158
Deployment
Not enough data
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Generative AI
Not enough data
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Data Management
Not enough data
9.0
178
|
Verified
Not enough data
8.9
178
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
176
|
Verified
Not enough data
8.7
166
|
Verified
Not enough data
9.0
168
|
Verified
Integration
Not enough data
8.8
164
|
Verified
Not enough data
8.8
164
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
153
|
Verified
Not enough data
9.1
174
|
Verified
Performance
Not enough data
9.1
174
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
Data Management
Not enough data
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Agentic AI - DataOps Platforms
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Analytics
Not enough data
8.8
64
Not enough data
8.4
63
Monitoring and Management
Not enough data
8.5
64
Not enough data
8.5
64
Cloud Deployment
Not enough data
9.1
60
Not enough data
9.0
61
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Database
9.1
26
8.7
220
8.9
26
8.9
226
9.1
28
9.3
227
Integrations
8.9
23
8.3
209
8.7
24
9.2
229
Platform
8.9
25
9.0
222
9.1
27
8.8
225
8.7
24
9.2
229
Processing
9.3
27
9.0
221
9.2
26
9.0
220
Data Transformation
Not enough data
8.8
220
Not enough data
9.0
227
Connectivity
Not enough data
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Operations
Not enough data
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 Store and Databricks Data Intelligence Platform are categorized as Big Data Processing and Distribution
Unique Categories
Azure Data Lake Store has no unique categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Azure Data Lake Store
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
41.7%
Computer Software
8.3%
Automotive
8.3%
Insurance
5.6%
Manufacturing
2.8%
Other
33.3%
Information Technology and Services
14.6%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.2%
Alternatives
Discussions
Azure Data Lake Store 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
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