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Compare Comet.ml and Databricks 
Featured Products
At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (46.2% of reviews)
Entry-Level Pricing
Free
No pricing available
Comet.ml
Star Rating
(12)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free
Browse all 3 pricing plansDatabricks
Star Rating
(660)4.6 out of 5
Market Segments
Enterprise (46.2% 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 the Databricks Data Intelligence Platform excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Comet.ml. Users appreciate its robust capabilities for scaling large language models and managing data across multiple cloud environments.
- Users say that Databricks offers a more intuitive and usable interface, particularly highlighting its interactive notebooks that support both SQL and Python for data visualization. In contrast, while Comet.ml is noted for its easy-to-use interface for tracking experiments, it does not match the comprehensive features of Databricks.
- Reviewers mention that the implementation process for Databricks is smooth, with many users praising the autoscale feature that helps reduce cloud resource costs. Comet.ml, while user-friendly, lacks the same level of advanced functionality, which may limit its appeal for larger projects.
- According to verified reviews, Databricks shines in its support quality, with users reporting timely assistance and effective solutions. Comet.ml also receives positive feedback for its support, but it does not have the same volume of recent reviews, making it harder to gauge its reliability.
- Users highlight that Databricks provides superior governance and monitoring capabilities, with scores reflecting its effectiveness in these areas. Comet.ml, while functional, falls short in these critical aspects, which are essential for enterprise-level applications.
- Reviewers note that Databricks is particularly strong in collaboration features, allowing teams to work seamlessly together. In comparison, Comet.ml's collaboration tools are seen as less comprehensive, which may hinder teamwork on complex projects.
Pricing
Entry-Level Pricing
Databricks
No pricing availableFree Trial
Comet.ml
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
7.9
7
8.9
538
Ease of Use
8.3
7
8.9
549
Ease of Setup
Not enough data
8.7
422
Ease of Admin
Not enough data
8.3
175
Quality of Support
8.3
6
8.7
513
Has the product been a good partner in doing business?
Not enough data
8.9
179
Product Direction (% positive)
8.1
6
9.6
527
Features by Category
Reports
Not enough data
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
Data Preparation
Not enough data
8.9
6
Not enough data
8.8
7
Data Modeling and Blending
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Generative AI
Not enough data
9.0
8
Not enough data
9.2
6
Agentic AI - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
9.3
5
Self Service
Not enough data
7.7
10
Not enough data
7.7
10
Not enough data
8.3
10
Not enough data
7.9
11
Not enough data
8.2
11
Not enough data
7.9
8
Deployment & Integration - Analytics Platforms
Not enough data
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Advanced Analytics
Not enough data
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Performance & Scalability - Analytics Platforms
Not enough data
8.8
7
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Personalized Intelligence - Analytics Platforms
Not enough data
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Building Reports
Not enough data
8.9
137
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
140
Administration
Not enough data
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Management
Not enough data
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Compliance
Not enough data
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Security
Not enough data
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Data Quality
Not enough data
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Maintainence
Not enough data
8.7
85
Not enough data
8.8
83
Generative AI
Not enough data
8.4
82
Not enough data
8.5
81
Agentic AI - Data Governance
Not enough data
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
Management
Not enough data
8.6
170
Not enough data
8.5
164
Functionality
Not enough data
9.1
171
Not enough data
9.2
171
Not enough data
9.1
172
Not enough data
9.0
164
Not enough data
9.1
166
Deployment
8.3
5
8.9
64
7.7
5
8.9
64
8.0
5
8.9
64
8.7
5
8.9
65
7.3
5
8.9
66
Deployment
7.3
5
8.9
61
7.7
5
8.8
62
8.3
5
8.6
66
7.7
5
8.9
65
7.7
5
9.0
66
Management
8.0
5
9.0
62
8.7
5
8.8
63
7.3
5
9.1
59
8.0
5
8.9
67
Operations
8.0
5
8.7
62
7.0
5
8.8
61
7.7
5
9.0
62
Management
7.7
5
8.8
60
8.0
5
8.7
60
6.7
5
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.8
178
Model Development
Not enough data
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Machine/Deep Learning Services
Not enough data
8.4
158
Not enough data
8.4
160
Deployment
Not enough data
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Generative AI
Not enough data
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Data Management
Not enough data
9.0
182
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
175
|
Verified
Not enough data
8.8
179
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Integration
Not enough data
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
173
|
Verified
Deployment
Not enough data
7.9
156
|
Verified
Not enough data
9.1
177
|
Verified
Performance
Not enough data
9.1
177
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
167
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
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
Not enough data
9.0
66
Not enough data
8.7
67
Not enough data
8.8
67
Not enough data
9.1
66
Agentic AI - DataOps Platforms
Not enough data
9.0
8
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
9.3
7
Analytics
Not enough data
8.8
66
Not enough data
8.5
64
Monitoring and Management
Not enough data
8.6
66
Not enough data
8.6
66
Cloud Deployment
Not enough data
9.1
62
Not enough data
9.0
62
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
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
Database
Not enough data
8.7
229
Not enough data
8.9
235
Not enough data
9.3
242
Integrations
Not enough data
8.3
217
Not enough data
9.1
244
Platform
Not enough data
9.0
236
Not enough data
8.8
234
Not enough data
9.1
244
Processing
Not enough data
9.0
233
Not enough data
9.0
230
Data Transformation
Not enough data
8.8
224
Not enough data
9.1
230
Connectivity
Not enough data
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
228
Operations
Not enough data
8.4
226
Not enough data
8.8
221
Not enough data
8.6
211
Not enough data
8.6
209
Not enough data
9.3
225
Building Reports
Not enough data
8.9
137
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
140
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
Comet.ml and Databricks are categorized as MLOps Platforms
Unique Categories
Comet.ml has no unique categories
Databricks is categorized as DataOps 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, and AI Agent Builders
Reviews
Reviewers' Company Size
Comet.ml
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
Computer Software
33.3%
Telecommunications
8.3%
Research
8.3%
Information Technology and Services
8.3%
Hospital & Health Care
8.3%
Other
33.3%
Information Technology and Services
15.0%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.3%
Alternatives
Discussions
Comet.ml has no discussions with answers
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?
3 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
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