Compare Databricks and Saturn Cloud 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Small-Business (82.2% of reviews)
Entry-Level Pricing
No pricing available
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Databricks
Star Rating
(711)4.6 out of 5
Market Segments
Enterprise (45.1% 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 the Databricks Data Intelligence Platform excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Saturn Cloud. Users appreciate its robust integration of AI with the data lakehouse, which enhances data analytics and reporting capabilities, particularly with tools like Power BI.
- Users say that Saturn Cloud shines in its ease of use, with many finding the platform simple and intuitive. Reviewers highlight its ability to handle large datasets and complex workloads effectively, making it a solid choice for small businesses looking for straightforward solutions.
- According to verified reviews, Databricks offers a more comprehensive feature set for enterprise-level needs, including advanced data engineering capabilities and cloud integration with major providers like AWS and Azure. This makes it a preferred choice for larger organizations seeking scalability and flexibility.
- Reviewers mention that while Saturn Cloud provides excellent support, particularly from its CTO, Databricks also receives praise for its responsive customer service. However, users note that Databricks' support can be more beneficial for complex enterprise implementations.
- G2 reviewers highlight that Databricks has a more extensive user base and a higher volume of recent reviews, indicating a more active community and ongoing product development. This contrasts with Saturn Cloud, which has not received recent reviews, potentially signaling less engagement or updates.
- Users report that while both platforms have their strengths, Databricks is often seen as a more powerful tool for data professionals due to its advanced analytics features and integration capabilities, whereas Saturn Cloud is favored for its user-friendly interface and support for small business needs.
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
567
9.3
275
Ease of Use
8.9
578
9.4
281
Ease of Setup
8.7
450
9.0
79
Ease of Admin
8.3
181
9.2
30
Quality of Support
8.7
542
9.3
250
Has the product been a good partner in doing business?
8.9
185
9.0
27
Product Direction (% positive)
9.6
555
9.2
270
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
172
Not enough data
9.2
174
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
9.0
42
8.9
64
9.2
44
8.9
66
9.2
42
8.9
66
9.6
43
9.0
67
9.5
40
Deployment
8.9
61
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
63
9.3
38
8.8
65
9.2
42
9.2
61
9.2
36
8.9
68
9.2
41
Operations
8.7
62
9.3
40
8.8
61
9.3
41
9.0
62
9.4
38
Management
8.8
60
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
180
9.0
185
Model Development
8.8
182
9.0
206
7.9
187
Feature Not Available
8.3
186
8.9
192
8.7
190
9.2
202
Model Development
8.5
172
9.2
192
Machine/Deep Learning Services
8.2
174
9.0
186
8.5
180
9.2
176
8.3
172
9.0
173
8.2
172
9.1
191
Machine/Deep Learning Services
8.4
158
9.1
165
8.4
160
9.3
190
Deployment
8.5
178
9.1
189
8.7
180
9.1
195
9.0
187
9.2
186
Generative AI
8.2
86
8.8
121
8.4
87
8.5
121
7.6
86
8.4
119
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
7.1
8
8.3
7
6.5
8
8.1
8
7.7
8
8.6
7
8.5
8
9.2
10
7.5
8
9.2
6
7.3
8
9.3
7
6.9
8
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
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
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
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
236
Not enough data
8.9
243
Not enough data
9.3
256
Not enough data
Integrations
8.3
220
Not enough data
9.1
256
Not enough data
Platform
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Not enough data
Processing
9.0
242
Not enough data
9.0
242
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
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
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?
4 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
Saturn Cloud has no discussions with answers
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