Compare Databricks and Snowflake 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Enterprise (44.4% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
Databricks
Star Rating
(727)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSnowflake
Star Rating
(695)4.6 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 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, Lakehouse Connect, and streaming tables that streamline data processing, analysis, and machine learning all in one platform. This integration is particularly appreciated by users who prefer not to switch between multiple tools.
- Users say that Snowflake stands out for its separation of storage and compute, which allows for efficient scaling and maintains fast query performance even with large datasets. This feature, along with its clean and intuitive UI, makes it a favorite for those focused on data warehousing and ETL tasks.
- According to verified reviews, Databricks has a higher overall satisfaction score, reflecting its strong performance in big data analytics and processing. Users highlight the value of the Unity Catalog for centralized governance and fine-grained access control, which has been a game-changer for enterprise migrations.
- Reviewers mention that while Snowflake is easy to use and integrates well with BI tools like Power BI and Sigma Computing, some users feel it lacks the depth of features found in Databricks, particularly for advanced machine learning capabilities.
- G2 reviewers note that both platforms have similar star ratings, but Databricks benefits from a significantly higher volume of recent reviews, indicating a more active user base and ongoing improvements. This suggests that Databricks is continuously evolving to meet user needs.
- Users report that while Databricks offers a robust set of features, Snowflake's focus on simplicity and ease of use makes it a strong contender for teams looking for straightforward data warehousing solutions without the complexity of a full data science platform.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSnowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
Databricks
Free Trial is available
Snowflake
Free Trial is available
Ratings
Meets Requirements
8.9
576
9.1
528
Ease of Use
8.9
587
9.0
564
Ease of Setup
8.7
459
8.9
349
Ease of Admin
8.4
184
8.7
213
Quality of Support
8.7
551
8.7
484
Has the product been a good partner in doing business?
8.9
188
9.0
215
Product Direction (% positive)
9.6
564
9.2
497
Features by Category
Reports
8.3
12
Not enough data
7.7
10
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
9.0
15
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
149
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
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
87
Not enough data
8.9
86
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
84
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
174
Not enough data
9.2
175
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
9.2
12
8.9
64
8.9
12
8.9
66
9.0
12
8.9
66
9.3
12
9.0
67
9.3
12
Deployment
8.9
62
9.3
10
8.8
62
9.5
10
8.6
66
9.5
10
8.9
65
9.5
10
9.0
66
9.3
10
Management
9.0
64
9.2
12
8.8
65
9.0
12
9.2
61
9.2
12
9.0
69
9.0
12
Operations
8.7
62
8.8
10
8.8
62
8.8
10
9.0
63
9.5
10
Management
8.8
61
9.2
10
8.7
61
9.3
9
9.1
59
9.0
10
Generative AI
8.3
28
8.7
10
8.3
28
8.3
10
System
8.9
180
9.2
28
Model Development
8.8
182
9.1
30
7.9
187
8.5
28
8.3
186
8.2
28
8.7
191
8.7
29
Model Development
8.5
172
8.7
27
Machine/Deep Learning Services
8.2
174
8.5
28
8.5
180
8.5
28
8.3
172
8.3
28
8.2
172
8.3
27
Machine/Deep Learning Services
8.4
158
8.5
27
8.4
160
8.5
24
Deployment
8.5
178
9.1
30
8.7
180
9.0
27
9.0
187
9.2
29
Generative AI
8.2
86
8.5
26
8.4
87
8.3
25
7.6
86
8.5
25
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
8.2
13
8.3
7
8.2
13
8.1
8
8.3
13
8.6
7
8.5
13
9.2
10
8.2
13
9.2
6
8.3
14
9.3
7
8.2
13
Data Management
9.0
185
|
Verified
9.0
192
|
Verified
8.9
180
|
Verified
8.9
173
|
Verified
8.9
179
|
Verified
9.0
180
|
Verified
8.8
180
|
Verified
8.3
177
|
Verified
8.7
167
|
Verified
8.2
155
|
Verified
9.1
171
|
Verified
8.7
158
|
Verified
Integration
8.8
168
|
Verified
8.3
148
|
Verified
8.8
166
|
Verified
8.9
181
|
Verified
9.1
174
|
Verified
8.9
163
|
Verified
Deployment
7.9
156
|
Verified
7.7
142
|
Verified
9.1
178
|
Verified
9.3
188
|
Verified
Performance
9.1
177
|
Verified
9.3
192
|
Verified
Security
8.8
168
|
Verified
8.9
176
|
Verified
8.9
168
|
Verified
9.1
184
|
Verified
Generative AI
8.5
76
7.9
81
8.4
75
8.1
81
Management
Not enough data
8.9
84
Not enough data
9.1
84
Not enough data
9.4
91
Not enough data
9.0
88
Not enough data
9.1
89
Maintenance
Not enough data
9.3
87
Not enough data
9.0
85
Not enough data
9.3
89
Security
Not enough data
9.2
86
Not enough data
9.3
89
Storage
Not enough data
9.2
44
Not enough data
9.2
44
Availability
Not enough data
9.1
39
Not enough data
9.2
37
Not enough data
9.2
41
Performance
Not enough data
9.2
44
Security
Not enough data
9.1
44
Not enough data
9.2
45
Not enough data
8.9
38
Not enough data
9.2
38
Support
Not enough data
9.2
36
Not enough data
9.1
35
Data Management
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
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
Centralized computation
Not enough data
9.3
25
Localized computation
Not enough data
9.0
24
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
8.7
237
8.9
98
8.9
244
9.3
101
9.3
259
9.3
95
Integrations
8.3
220
8.6
76
9.1
259
8.7
81
Platform
9.0
251
9.1
92
8.8
249
9.0
97
9.1
259
8.7
81
Processing
9.0
244
9.3
97
9.0
246
9.1
95
Data Transformation
8.8
226
9.2
87
9.1
233
9.4
88
Connectivity
8.7
206
8.5
78
9.2
230
8.7
79
9.0
220
9.1
81
9.2
230
9.1
81
Operations
8.4
228
8.6
84
8.8
224
9.2
79
8.6
212
8.9
76
8.6
209
8.8
80
9.3
231
8.7
78
Building Reports
9.0
149
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
145
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 Snowflake are categorized as MLOps Platforms, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Database Management Systems (DBMS)
Unique Categories
Databricks is categorized as DataOps Platforms, Data Governance, ETL Tools, Analytics Platforms, Generative AI Infrastructure, AI Agent Builders, and AI Gateways
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Information Technology and Services
15.0%
Computer Software
13.4%
Financial Services
10.2%
Marketing and Advertising
4.7%
Hospital & Health Care
3.6%
Other
53.1%
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
What's the best way to manage change data capture in Snowflake?
4 Comments
VT
Please go through this link: https://docs.snowflake.com/en/user-guide/streams
You might get a pertinent response from it.
Please click on this link...Read more
which is best snowflake or My sql
2 Comments
LH
Depends on your needs. MySQL is open source/free. It or Postgres (another open source db) is good for pretty much any normal need. You can install on...Read more
Snowflake - how to connect to Snowflake using NodeJS
2 Comments
DW
Does this help? https://www.ameexusa.com/blogs/connecting-node-js-snowflakeRead more
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