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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryDatabricks Data Intelligence Platform
Star Rating
(627)4.6 out of 5
Market Segments
Enterprise (46.5% 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 Databricks Data Intelligence Platform excels in Data Lake Analytics with a score of 8.8, while Azure Data Factory is noted for its strong Data Integration capabilities, scoring 8.9. Reviewers mention that Databricks provides a more seamless experience for large-scale data processing.
- Reviewers mention that Azure Data Factory shines in Automation with a score of 9.2, compared to Databricks' score of 8.8. Users on G2 appreciate Azure's ability to automate workflows effectively, making it easier to manage data pipelines.
- Users say that Databricks offers superior Model Registry features, scoring 8.9, which allows for better management of machine learning models. In contrast, Azure Data Factory's model development features, while solid, score slightly lower at 8.6, leading some users to prefer Databricks for ML projects.
- G2 users report that Databricks provides a more robust Data Lineage feature with a score of 8.8, which is crucial for tracking data flow and transformations. Azure Data Factory, while competent, scores 8.4 in this area, leading some users to feel less confident in their data governance.
- Reviewers mention that Azure Data Factory's Ease of Setup is rated at 9.0, making it more user-friendly for new users compared to Databricks' score of 8.4. Users appreciate the straightforward onboarding process with Azure, which can be a significant factor for teams looking to implement quickly.
- Users on G2 highlight that Databricks has a strong focus on Built-In Data Analytics with a score of 8.5, which enhances its data processing capabilities. In contrast, Azure Data Factory's analytics features are seen as less integrated, leading some users to prefer Databricks for comprehensive data analysis tasks.
Pricing
Entry-Level Pricing
Azure Data Factory
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Azure Data Factory
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
9.2
65
8.9
512
Ease of Use
8.9
66
8.8
521
Ease of Setup
9.2
31
8.6
394
Ease of Admin
8.6
23
8.3
169
Quality of Support
8.8
60
8.7
487
Has the product been a good partner in doing business?
9.3
22
8.8
172
Product Direction (% positive)
9.8
61
9.6
500
Features by Category
Reports
Not enough data
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
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
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
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
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
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
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Management
Not enough data
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Compliance
Not enough data
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Security
Not enough data
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Data Quality
Not enough data
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Maintainence
Not enough data
8.8
81
Not enough data
8.8
80
Generative AI
Not enough data
8.4
79
Not enough data
8.5
78
Agentic AI - Data Governance
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Management
8.4
45
8.6
167
8.4
44
8.5
161
Functionality
9.1
47
9.1
168
9.1
47
9.2
169
9.3
44
9.1
170
9.1
47
9.0
162
9.1
45
9.1
164
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
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Integration
Not enough data
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Deployment
Not enough data
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Performance
Not enough data
9.1
173
|
Verified
Security
Not enough data
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Generative AI
Not enough data
8.5
75
Not enough data
8.4
74
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
Not enough data
8.7
218
Not enough data
8.9
224
Not enough data
9.3
225
Integrations
Not enough data
8.3
207
Not enough data
9.2
227
Platform
Not enough data
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Processing
Not enough data
9.0
219
Not enough data
9.0
218
Data Transformation
Not enough data
8.8
219
Not enough data
9.0
226
Connectivity
Not enough data
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Operations
Not enough data
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
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 Factory and Databricks Data Intelligence Platform are categorized as ETL Tools
Unique Categories
Azure Data Factory is categorized as Big Data Integration Platforms
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Azure Data Factory
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
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Information Technology and Services
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more 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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