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Compare Apache Airflow and Databricks Data Intelligence Platform 
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At a Glance
Market Segments
Mid-Market (46.0% of reviews)
Enterprise (46.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Airflow
Star Rating
(118)4.4 out of 5
Market Segments
Mid-Market (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache AirflowDatabricks Data Intelligence Platform
Star Rating
(629)4.6 out of 5
Market Segments
Enterprise (46.4% 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 its collaborative features, particularly with its integration of notebooks and real-time data sharing, which reviewers say enhances team productivity significantly compared to Apache Airflow's more code-centric approach.
- Reviewers mention that while both platforms have strong support, Databricks Data Intelligence Platform's quality of support is rated higher (8.7) than Apache Airflow (7.9), with users highlighting the responsiveness and expertise of the support team as a key advantage.
- G2 users indicate that Databricks Data Intelligence Platform has a more user-friendly interface, reflected in its ease of use score (8.8) compared to Apache Airflow (8.4), with many reviewers appreciating the intuitive design that simplifies complex data workflows.
- Users on G2 report that Databricks Data Intelligence Platform's setup process is smoother (8.7) than that of Apache Airflow (7.7), with reviewers noting that the guided setup and comprehensive documentation make it easier for new users to get started.
- Reviewers mention that both products have a strong product direction, with a perfect score of 9.6, but users say that Databricks Data Intelligence Platform's frequent updates and feature enhancements, such as improved machine learning capabilities, keep it ahead in terms of innovation.
- Users report that while Apache Airflow is favored in the mid-market segment, Databricks Data Intelligence Platform's focus on enterprise solutions (46.9% of reviews) provides more robust features for larger organizations, particularly in data governance and compliance, which is a critical factor for many enterprises.
Pricing
Entry-Level Pricing
Apache Airflow
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Apache Airflow
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
9.0
87
8.9
513
Ease of Use
8.4
87
8.8
522
Ease of Setup
7.6
51
8.6
395
Ease of Admin
8.3
30
8.3
169
Quality of Support
8.1
79
8.7
488
Has the product been a good partner in doing business?
8.6
29
8.8
172
Product Direction (% positive)
9.4
81
9.6
501
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
Not enough data
8.6
167
Not enough data
8.5
161
Functionality
Not enough data
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Deployment
8.5
8
8.9
63
8.5
9
8.9
64
8.5
8
8.9
64
8.3
9
8.9
64
8.9
9
8.9
64
Deployment
8.5
9
8.9
61
8.8
8
8.8
62
8.5
8
8.6
65
8.3
9
8.9
64
9.4
8
9.0
64
Management
8.5
8
8.9
61
8.3
8
8.8
63
9.0
8
9.1
59
8.5
8
8.9
67
Operations
8.1
9
8.7
61
8.5
8
8.8
60
8.8
8
9.0
61
Management
8.8
8
8.8
60
8.5
8
8.7
59
8.8
8
9.1
58
Generative AI
7.7
8
8.3
27
7.9
8
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
Workflow Design & Integration - AI Orchestration
8.1
18
Not enough data
8.1
18
Not enough data
8.0
17
Not enough data
8.4
18
Not enough data
8.4
17
Not enough data
7.7
16
Not enough data
Performance Optimization & Analytics - AI Orchestration
7.8
16
Not enough data
7.7
16
Not enough data
8.6
16
Not enough data
7.2
16
Not enough data
7.9
15
Not enough data
8.2
15
Not enough data
Governance & Compliance Controls - AI Orchestration
7.7
15
Not enough data
7.4
15
Not enough data
7.9
15
Not enough data
8.4
15
Not enough data
8.1
15
Not enough data
Database
Not enough data
8.7
219
Not enough data
8.9
225
Not enough data
9.3
226
Integrations
Not enough data
8.3
208
Not enough data
9.2
228
Platform
Not enough data
9.0
221
Not enough data
8.8
224
Not enough data
9.2
228
Processing
Not enough data
9.0
220
Not enough data
9.0
219
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
Apache Airflow and Databricks Data Intelligence Platform are categorized as MLOps Platforms
Unique Categories
Apache Airflow is categorized as AI Orchestration
Databricks Data Intelligence Platform is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Apache Airflow
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
22.1%
Computer Software
15.9%
Financial Services
11.5%
Banking
4.4%
Retail
3.5%
Other
42.5%
Information Technology and Services
14.7%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.1%
Alternatives
Discussions
Who is using Apache airflow?
1 Comment
FE
To send custom metadata to AtlanRead more
Is Apache airflow an ETL tool?
1 Comment
BM
Yes, we can use it to schedule and trigger ETL jobs and orchestrate them into a logical workflow 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 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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