Compare Databricks Data Intelligence Platform and Snowflake 
At a Glance
Market Segments
Enterprise (46.4% of reviews)
Enterprise (47.1% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
Databricks Data Intelligence Platform
Star Rating
(424)4.6 out of 5
Market Segments
Enterprise (46.4% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformSnowflake
Star Rating
(587)4.5 out of 5
Market Segments
Enterprise (47.1% of reviews)
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.
- Users report that Databricks excels in Data Lake Analytics with a score of 8.8, highlighting its ability to efficiently manage large datasets, while Snowflake, with a score of 8.6, is noted for its robust Data Distribution capabilities, making it a strong contender for users focused on data sharing.
- Reviewers mention that Databricks' Machine Learning Services are particularly strong, especially in Spark Integration (9.1), which allows for seamless data processing and model training, whereas Snowflake's machine learning features, while competent, received a lower score of 8.0, indicating room for improvement.
- G2 users highlight that Snowflake's Real-Time Analytics capabilities are superior, scoring 9.1, which is crucial for businesses needing immediate insights, while Databricks scored 8.5 in this area, suggesting it may not be as responsive for real-time data needs.
- Users on G2 report that Databricks offers a more user-friendly experience in Data Ingestion & Wrangling with a score of 8.8, making it easier for data engineers to prepare data, while Snowflake's score of 8.9 in Data Quality indicates a strong focus on maintaining data integrity.
- Reviewers say that Databricks shines in Workflow Management with a score of 9.3, allowing teams to automate and streamline processes effectively, while Snowflake's score of 8.6 in Data Workflow suggests it may not be as efficient in this area.
- Users report that Snowflake's Cloud Deployment capabilities are robust, scoring 9.2, which is essential for businesses looking for scalable cloud solutions, while Databricks scored 8.9, indicating it may not offer the same level of cloud flexibility.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
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 Data Intelligence Platform
Free Trial is available
Snowflake
Free Trial is available
Ratings
Meets Requirements
8.9
318
9.1
430
Ease of Use
8.8
320
9.0
464
Ease of Setup
8.6
205
8.8
250
Ease of Admin
8.1
92
8.6
188
Quality of Support
8.5
298
8.6
389
Has the product been a good partner in doing business?
8.6
92
9.0
189
Product Direction (% positive)
9.5
304
9.1
401
Features by Category
Administration
8.8
36
Not enough data
9.0
35
Not enough data
9.2
36
Not enough data
9.0
37
Not enough data
Management
8.7
35
Not enough data
9.0
35
Not enough data
9.0
35
Not enough data
8.8
35
Not enough data
9.1
35
Not enough data
Compliance
9.1
36
Not enough data
8.8
35
Not enough data
9.1
34
Not enough data
8.7
34
Not enough data
Security
9.0
34
Not enough data
9.0
35
Not enough data
9.1
35
Not enough data
Data Quality
9.1
35
Not enough data
8.6
35
Not enough data
9.1
35
Not enough data
Maintainence
9.0
35
Not enough data
9.0
35
Not enough data
Generative AI
8.8
35
Not enough data
9.0
35
Not enough data
Management
8.3
95
Not enough data
8.3
91
Not enough data
Functionality
9.1
98
Not enough data
9.3
99
Not enough data
9.1
100
Not enough data
8.9
93
Not enough data
9.1
96
Not enough data
Deployment
8.7
37
Not enough data
8.7
38
Not enough data
8.6
39
Not enough data
8.8
39
Not enough data
8.8
39
Not enough data
Deployment
8.7
36
Not enough data
8.6
37
Not enough data
8.3
41
Not enough data
8.8
40
Not enough data
9.0
40
Not enough data
Management
8.8
36
Not enough data
8.6
37
Not enough data
9.2
33
Not enough data
9.0
41
Not enough data
Operations
8.5
37
Not enough data
8.7
36
Not enough data
8.8
37
Not enough data
Management
8.7
37
Not enough data
8.4
36
Not enough data
9.2
34
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
99
8.7
5
8.6
94
7.7
5
7.8
95
6.3
5
Model Development
8.8
89
9.3
5
7.9
96
7.0
5
8.4
94
7.0
5
8.8
96
8.7
5
Model Development
8.4
93
6.7
5
8.7
98
7.7
5
8.5
96
8.7
5
Machine/Deep Learning Services
8.3
85
8.0
5
8.7
90
8.0
5
8.3
83
7.7
5
8.2
86
7.0
5
Machine/Deep Learning Services
8.2
85
8.0
5
8.4
86
7.3
5
8.2
85
6.7
5
8.5
87
Not enough data
Deployment
8.5
90
8.3
5
8.8
94
7.7
5
8.9
98
9.3
5
Deployment
8.4
92
7.3
5
8.7
98
8.0
5
8.8
98
7.7
5
Generative AI
Feature Not Available
7.3
5
Feature Not Available
7.3
5
Feature Not Available
8.0
5
Data Management
9.1
131
|
Verified
8.9
127
|
Verified
8.9
130
|
Verified
8.8
113
|
Verified
8.7
126
|
Verified
8.9
123
|
Verified
8.6
128
|
Verified
8.1
116
|
Verified
8.6
118
|
Verified
8.0
98
|
Verified
9.0
121
|
Verified
8.5
102
|
Verified
Integration
8.8
117
|
Verified
8.1
91
|
Verified
8.7
118
|
Verified
8.7
117
|
Verified
9.0
127
|
Verified
8.8
108
|
Verified
Deployment
7.9
107
|
Verified
7.4
90
|
Verified
9.1
128
|
Verified
9.2
121
|
Verified
Performance
9.1
129
|
Verified
9.2
123
|
Verified
Security
8.6
120
|
Verified
8.7
114
|
Verified
8.8
121
|
Verified
9.0
124
|
Verified
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Management
Not enough data
8.8
57
Not enough data
9.0
57
Not enough data
9.3
62
Not enough data
8.7
60
Not enough data
8.9
61
Maintenance
Not enough data
9.2
59
Not enough data
8.8
58
Not enough data
9.3
59
Security
Not enough data
9.1
59
Not enough data
9.1
61
Storage
Not enough data
9.1
37
Not enough data
9.1
36
Availability
Not enough data
9.0
32
Not enough data
9.2
30
Not enough data
9.1
34
Performance
Not enough data
9.2
36
Security
Not enough data
9.0
36
Not enough data
9.2
37
Not enough data
8.9
30
Not enough data
9.1
31
Support
Not enough data
9.3
29
Not enough data
9.0
28
Data Management
9.0
37
Not enough data
8.2
36
Not enough data
8.5
37
Not enough data
9.0
35
Not enough data
Analytics
8.7
35
Not enough data
8.4
34
Not enough data
Monitoring and Management
8.1
35
Not enough data
8.1
35
Not enough data
Cloud Deployment
9.1
32
Not enough data
9.1
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Centralized computation
Not enough data
8.9
14
Localized computation
Not enough data
8.6
14
Data
Not enough data
Not enough data
Not enough data
Not enough data
Interaction
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
Learning
Not enough data
Not enough data
Not enough data
Not enough data
Content Generation
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.6
122
8.7
70
8.9
129
9.2
73
9.2
129
9.3
68
Integrations
8.3
114
8.5
51
9.2
131
8.7
55
Platform
9.0
125
9.0
64
8.8
128
9.0
70
9.2
131
8.7
55
Processing
9.0
128
9.2
68
9.0
127
9.0
67
Data Transformation
8.8
153
9.1
45
8.9
160
9.0
45
Connectivity
8.6
137
8.0
40
9.2
159
8.3
40
9.0
151
8.7
40
9.1
160
8.7
42
Operations
8.3
158
8.0
44
8.8
153
8.9
41
8.6
141
8.6
38
8.6
141
8.3
41
9.4
155
8.3
38
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Data Intelligence Platform and Snowflake are categorized as MLOps Platforms, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, ETL Tools, and Data Governance
Snowflake is categorized as AI Chatbots, Data Clean Room, Columnar Databases, Big Data Integration Platforms, and Database Management Systems (DBMS)
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
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
15.0%
Computer Software
10.0%
Financial Services
9.5%
Marketing and Advertising
4.1%
Consulting
3.9%
Other
57.5%
Computer Software
13.7%
Information Technology and Services
12.8%
Financial Services
10.8%
Hospital & Health Care
4.3%
Marketing and Advertising
3.9%
Other
54.5%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Snowflake
Most Helpful Favorable Review
Padmanesh N.
Verified User in Information Technology and Services
This feature is helpful for user to increase the node size and config depending on their need. There is no need to wait for hardware to be in place whenever we increase the dataset. Snowflake provides the option to increase the node or cluster size whenever...
Most Helpful Critical Review
Verified User in Internet
My main disappointment was with their support. We had an issue as soon as we signed a contract and it was about billing which seemed to be pushed off with no urgency and still not completed. Something like this I would have expected to be resolved within...
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Padmanesh N.
Verified User in Information Technology and Services
This feature is helpful for user to increase the node size and config depending on their need. There is no need to wait for hardware to be in place whenever we increase the dataset. Snowflake provides the option to increase the node or cluster size whenever...
Reeham N.
Verified User in Investment Banking
This tool is not optimized for R users. They were supposed to have an update Q1 for R studio but their help team informed me that this was no longer a priority. Even so, heavy AI and machine learning algorithms are not optimized for use here besides the...
Verified User in Internet
My main disappointment was with their support. We had an issue as soon as we signed a contract and it was about billing which seemed to be pushed off with no urgency and still not completed. Something like this I would have expected to be resolved within...
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