Compare Databricks and Saturn Cloud 
At a Glance
Market Segments
Enterprise (44.1% of reviews)
Small-Business (82.2% of reviews)
Entry-Level Pricing
No pricing available
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Databricks
Star Rating
(759)4.6 out of 5
Market Segments
Enterprise (44.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSaturn Cloud
Star Rating
(320)4.8 out of 5
Market Segments
Small-Business (82.2% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
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 place. Users appreciate the integrated notebook environment that simplifies their tasks.
- Users say Saturn Cloud stands out for its ability to quickly spin up GPU-powered environments, making it a favorite for those needing to scale data processing tasks efficiently. The seamless integration with Dask and Jupyter is highlighted as a significant productivity booster.
- According to verified reviews, Databricks has a higher overall satisfaction score, reflecting its robust feature set and enterprise-level capabilities. Reviewers specifically mention the value of Unity Catalog for centralized governance and fine-grained access control, which enhances data management for larger organizations.
- Reviewers mention that while Saturn Cloud is praised for its simplicity and ease of use, it may not offer the same depth of features as Databricks, particularly for complex enterprise needs. Users appreciate its straightforward interface but note that it may lack some advanced functionalities.
- G2 reviewers highlight that Databricks has a more extensive user base and a wealth of recent reviews, indicating a strong market presence and ongoing support. This is contrasted with Saturn Cloud, which has significantly fewer recent reviews, suggesting a smaller user community and potentially less frequent updates.
- Users report that both platforms provide good support, but Saturn Cloud receives higher marks for quality of support, with users noting responsive assistance and helpful resources. This can be particularly beneficial for smaller businesses or teams that may require more guidance during implementation.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSaturn Cloud
Saturn Cloud On-Premise
Contact Us
Installs in cloud environments offered by AWS, Microsoft Azure, Google, Oracle, and CoreWeave
- Installs in cloud environments offered by AWS, Microsoft Azure, Google, Oracle, and CoreWeave
- Pay-as-you-go pricing with no upfront cost
- Advanced security: SSO and installation into custom VPCs and private subnets available
Free Trial
Databricks
Free Trial is available
Saturn Cloud
Free Trial is available
Ratings
Meets Requirements
8.9
595
9.3
275
Ease of Use
8.9
610
9.4
281
Ease of Setup
8.7
483
9.0
79
Ease of Admin
8.4
184
9.2
30
Quality of Support
8.7
572
9.3
250
Has the product been a good partner in doing business?
8.9
188
9.0
27
Product Direction (% positive)
9.6
582
9.2
270
Features by Category
Reports
8.6
15
Not enough data
7.9
12
Not enough data
8.7
14
Not enough data
8.2
10
Not enough data
9.0
17
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
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
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
13
Not enough data
8.1
9
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
Not enough data
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
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
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
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
Not enough data
Management
8.6
173
Not enough data
8.5
165
Not enough data
Functionality
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
Not enough data
Deployment
8.9
65
9.0
42
8.9
64
9.2
44
8.9
66
9.2
42
8.9
66
9.6
43
9.0
68
9.5
40
Deployment
8.9
62
9.4
40
8.8
62
9.1
43
8.6
66
9.1
41
8.9
65
9.5
44
9.0
66
9.5
40
Management
9.0
64
9.3
38
8.9
66
9.2
42
9.2
61
9.2
36
9.0
69
9.2
41
Operations
8.7
62
9.3
40
8.8
62
9.3
41
9.0
63
9.4
38
Management
8.8
61
8.9
36
8.7
61
9.2
41
9.1
59
9.0
35
Generative AI
8.3
28
9.3
27
8.3
28
9.3
26
System
8.9
181
9.0
185
Model Development
8.7
185
9.0
206
8.0
188
Feature Not Available
8.3
187
8.9
192
8.7
192
9.2
202
Model Development
8.5
173
9.2
192
Machine/Deep Learning Services
8.2
175
9.0
186
8.5
181
9.2
176
8.3
173
9.0
173
8.2
173
9.1
191
Machine/Deep Learning Services
8.4
159
9.1
165
8.4
161
9.3
190
Deployment
8.5
180
9.1
189
8.7
181
9.1
195
9.0
189
9.2
186
Generative AI
8.2
87
8.8
121
8.4
88
8.5
121
7.6
87
8.4
119
Agentic AI - Data Science and Machine Learning Platforms
9.3
9
7.1
8
8.5
8
6.5
8
8.3
9
7.7
8
8.8
8
8.5
8
9.2
11
7.5
8
8.8
7
7.3
8
9.4
8
6.9
8
Data Management
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
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
Not enough data
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
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Not enough data
Agentic AI - DataOps Platforms
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Not enough data
Analytics
8.8
68
Not enough data
8.6
68
Not enough data
Monitoring and Management
8.6
68
Not enough data
8.6
69
Not enough data
Cloud Deployment
9.0
64
Not enough data
9.0
65
Not enough data
Generative AI
9.0
37
Not enough data
8.9
37
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.5
16
Not enough data
8.8
16
Not enough data
9.2
16
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.4
15
Not enough data
8.9
14
Not enough data
9.3
14
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.8
14
Not enough data
8.7
14
Not enough data
8.7
14
Security and Compliance - Generative AI Infrastructure
Not enough data
8.8
14
Not enough data
8.6
14
Not enough data
8.3
14
Usability and Support - Generative AI Infrastructure
Not enough data
8.9
14
Not enough data
8.5
14
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
8.7
239
Not enough data
8.9
247
Not enough data
9.3
266
Not enough data
Integrations
8.3
220
Not enough data
9.1
269
Not enough data
Platform
8.9
262
Not enough data
8.9
255
Not enough data
9.1
269
Not enough data
Processing
9.0
248
Not enough data
9.0
255
Not enough data
Data Transformation
8.9
229
Not enough data
9.1
237
Not enough data
Connectivity
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Not enough data
Operations
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
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
Not enough data
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
Databricks and Saturn Cloud are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, and Generative AI Infrastructure
Unique Categories
Databricks is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), AI Agent Builders, and AI Gateways
Saturn Cloud has no unique categories
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Saturn Cloud
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
15.7%
Financial Services
10.3%
Computer Software
8.8%
Consulting
3.8%
Hospital & Health Care
3.7%
Other
57.7%
Computer Software
20.9%
Higher Education
10.9%
Information Technology and Services
10.0%
Biotechnology
9.1%
Research
7.8%
Other
41.3%
Alternatives
Discussions
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
Saturn Cloud has no discussions with answers
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