Compare Astro by Astronomer and Databricks 
At a Glance
Market Segments
Mid-Market (48.1% of reviews)
Enterprise (43.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Astro by Astronomer
Star Rating
(136)4.5 out of 5
Market Segments
Mid-Market (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Astro by AstronomerDatabricks
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 providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one platform. Users appreciate the seamless integration of these tools, which enhances productivity.
- Users say that Astro by Astronomer simplifies the management of Airflow, making it a reliable choice for teams looking to reduce the burden of infrastructure management. The built-in observability and Slack integrations for monitoring DAG status are particularly praised, allowing for efficient tracking and triggering of workflows.
- Reviewers mention that Databricks offers superior governance and data management capabilities, highlighted by the Unity Catalog feature. This has been a game-changer for enterprises migrating from traditional architectures, providing centralized governance and fine-grained access control that users find invaluable.
- According to verified reviews, Astro by Astronomer is noted for its ease of use, with users highlighting that it reduces the need for a dedicated DevOps team member. This aspect is particularly beneficial for smaller teams or organizations looking to optimize resources without sacrificing functionality.
- G2 reviewers indicate that while Databricks has a slightly lower ease of use rating compared to Astro, its overall user satisfaction is significantly higher. Users appreciate the intuitive notebook environment that simplifies complex data tasks, making it easier to manage large datasets and analytics.
- Users report that Databricks shines in its ability to handle complex data integration and analytics tasks, with features that support automated workflows and decision-making processes. This capability is crucial for organizations that rely on data-driven insights to inform their strategies.
Pricing
Entry-Level Pricing
Astro by Astronomer
No pricing availableDatabricks
No pricing availableFree Trial
Astro by Astronomer
Free Trial is available
Databricks
Free Trial is available
Ratings
Meets Requirements
8.9
106
8.9
593
Ease of Use
9.0
109
8.9
608
Ease of Setup
8.7
73
8.7
481
Ease of Admin
8.8
57
8.3
183
Quality of Support
8.9
98
8.7
570
Has the product been a good partner in doing business?
9.0
57
8.9
187
Product Direction (% positive)
9.0
103
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
Automation
9.0
70
Not enough data
8.9
70
Not enough data
7.9
54
Not enough data
Administration
8.4
66
Not enough data
8.8
67
Not enough data
8.2
64
Not enough data
8.1
60
Not enough data
8.2
64
Not enough data
8.5
62
Not enough data
Functionality
9.0
66
Not enough data
8.5
65
Not enough data
8.5
65
Not enough data
Agentic AI - Workload Automation
7.3
17
Not enough data
7.5
17
Not enough data
7.7
17
Not enough data
7.6
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
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
8.5
17
Not enough data
7.5
14
Not enough data
8.1
16
Not enough data
7.6
15
Not enough data
Analytics
7.3
15
Not enough data
Security
7.7
14
Not enough data
8.0
14
Not enough data
8.0
14
Not enough data
Generative AI
5.0
11
Not enough data
5.3
11
Not enough data
Agentic AI - Data Fabric
6.5
9
Not enough data
6.5
10
Not enough data
6.5
10
Not enough data
6.0
10
Not enough data
6.2
10
Not enough data
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
8.5
35
9.0
69
8.2
33
8.8
71
8.5
34
8.8
69
8.6
36
9.1
70
Agentic AI - DataOps Platforms
6.2
11
9.2
10
5.9
11
9.0
8
6.8
11
9.0
10
6.2
11
9.1
9
5.8
11
9.4
9
Analytics
7.5
34
8.8
68
7.3
34
8.6
68
Monitoring and Management
8.2
34
8.6
68
8.0
33
8.6
69
Cloud Deployment
8.7
32
9.0
64
8.4
31
9.0
65
Generative AI
6.7
21
9.0
37
6.7
22
8.9
37
Functionality
8.3
11
Not enough data
7.4
11
Not enough data
8.1
9
Not enough data
7.8
10
Not enough data
Management
7.7
10
Not enough data
7.6
9
Not enough data
8.2
10
Not enough data
7.3
10
Not enough data
7.5
10
Not enough data
Generative AI
5.7
9
Not enough data
Agentic AI - Data Observability
6.1
9
Not enough data
6.5
8
Not enough data
7.6
9
Not enough data
6.7
8
Not enough data
7.7
8
Not enough data
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
247
Not enough data
9.3
265
Integrations
Not enough data
8.3
220
Not enough data
9.1
269
Platform
Not enough data
8.9
261
Not enough data
8.9
255
Not enough data
9.1
269
Processing
Not enough data
9.0
248
Not enough data
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
Astro by Astronomer and Databricks are categorized as DataOps Platforms
Unique Categories
Astro by Astronomer is categorized as Data Fabric, Workload Automation, Big Data Integration Platforms, and Data Observability
Databricks is categorized as MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, 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
Astro by Astronomer
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
Information Technology and Services
15.8%
Financial Services
12.8%
Computer Software
11.3%
Online Media
6.0%
Retail
5.3%
Other
48.9%
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
Astro by Astronomer 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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