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At a Glance
Market Segments
Small-Business (53.8% of reviews)
Enterprise (46.3% of reviews)
Entry-Level Pricing
Free 1 seat
No pricing available
ClearML
Star Rating
(13)4.7 out of 5
Market Segments
Small-Business (53.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free 1 seat
Learn more about ClearMLDatabricks Data Intelligence Platform
Star Rating
(630)4.6 out of 5
Market Segments
Enterprise (46.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in workflow management with a score of 9.3, making it a preferred choice for teams needing robust orchestration capabilities. In contrast, ClearML, while strong in model registry with a score of 9.5, does not match the same level of workflow management efficiency.
- Reviewers mention that ClearML offers superior language flexibility with a perfect score of 10.0, allowing users to work seamlessly across various programming languages. Databricks, with a score of 8.7, provides good support but lacks the same breadth of flexibility.
- G2 users highlight that Databricks shines in data lineage with a score of 8.8, which is crucial for tracking data flow and transformations. ClearML, while scoring well in data governance at 9.3, does not provide the same level of detail in lineage tracking.
- Users on G2 report that ClearML's ease of deployment is exceptional, scoring 9.7, which is particularly beneficial for small businesses looking for quick setup. Databricks, with a score of 8.6, is effective but may require more resources for deployment.
- Reviewers say that Databricks offers strong data integration capabilities with a score of 9.0, making it ideal for enterprises needing to connect various data sources. ClearML, while scoring 8.9, is noted for its automated workflows, which some users find less comprehensive in integration scenarios.
- Users report that ClearML's collaboration features are highly rated at 9.4, facilitating teamwork and project sharing effectively. In comparison, Databricks scores 8.7, indicating that while it has collaboration tools, they may not be as user-friendly or comprehensive as those offered by ClearML.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableFree Trial
ClearML
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
9.1
11
8.9
514
Ease of Use
8.9
11
8.8
523
Ease of Setup
Not enough data
8.7
396
Ease of Admin
Not enough data
8.3
169
Quality of Support
9.0
10
8.7
489
Has the product been a good partner in doing business?
Not enough data
8.8
172
Product Direction (% positive)
10.0
11
9.6
502
Features by Category
Reports
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
Not enough data
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Administration
Not enough data
8.8
93
Not enough data
8.6
90
Not enough data
9.0
91
Not enough data
8.7
92
Management
Not enough data
8.5
85
Not enough data
8.7
84
Not enough data
8.6
84
Not enough data
8.5
83
Not enough data
8.7
83
Compliance
Not enough data
8.8
91
Not enough data
8.7
90
Not enough data
8.9
89
Not enough data
8.7
89
Security
Not enough data
9.0
81
Not enough data
8.9
83
Not enough data
8.9
83
Data Quality
Not enough data
9.0
91
Not enough data
8.7
90
Not enough data
9.0
88
Maintainence
Not enough data
8.8
82
Not enough data
8.8
81
Generative AI
Not enough data
8.4
80
Not enough data
8.5
79
Agentic AI - Data Governance
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.3
9
Not enough data
8.5
9
Not enough data
9.1
9
Not enough data
9.1
9
Management
Not enough data
8.6
168
Not enough data
8.5
162
Functionality
Not enough data
9.1
169
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Deployment
10.0
5
8.9
63
9.2
6
8.9
64
10.0
6
8.9
64
9.7
5
8.9
64
10.0
6
8.9
64
Deployment
9.2
6
8.9
61
8.8
8
8.8
62
9.4
8
8.6
65
9.0
7
8.9
64
9.8
8
9.0
64
Management
8.9
6
8.9
61
8.3
6
8.8
63
9.3
5
9.1
59
9.5
7
8.9
67
Operations
8.8
7
8.7
61
8.6
7
8.8
60
9.4
8
9.0
61
Management
9.3
7
8.8
60
8.5
8
8.7
59
9.2
6
9.1
58
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
Not enough data
8.8
175
Model Development
Not enough data
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Machine/Deep Learning Services
Not enough data
8.4
156
Not enough data
8.4
158
Deployment
Not enough data
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Generative AI
Not enough data
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Data Management
Not enough data
9.0
178
|
Verified
Not enough data
8.9
178
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
176
|
Verified
Not enough data
8.7
166
|
Verified
Not enough data
9.0
168
|
Verified
Integration
Not enough data
8.8
164
|
Verified
Not enough data
8.8
164
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
153
|
Verified
Not enough data
9.1
174
|
Verified
Performance
Not enough data
9.1
174
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
Data Management
Not enough data
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Agentic AI - DataOps Platforms
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Analytics
Not enough data
8.8
64
Not enough data
8.4
63
Monitoring and Management
Not enough data
8.5
64
Not enough data
8.5
64
Cloud Deployment
Not enough data
9.1
60
Not enough data
9.0
61
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Database
Not enough data
8.7
220
Not enough data
8.9
226
Not enough data
9.3
227
Integrations
Not enough data
8.3
209
Not enough data
9.2
229
Platform
Not enough data
9.0
222
Not enough data
8.8
225
Not enough data
9.2
229
Processing
Not enough data
9.0
221
Not enough data
9.0
220
Data Transformation
Not enough data
8.8
220
Not enough data
9.0
227
Connectivity
Not enough data
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Operations
Not enough data
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
ClearML and Databricks Data Intelligence Platform are categorized as MLOps Platforms
Unique Categories
ClearML is categorized as Other Development
Databricks Data Intelligence Platform is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
ClearML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
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
38.5%
Computer Software
38.5%
Media Production
7.7%
Hospital & Health Care
7.7%
Consumer Goods
7.7%
Other
0.0%
Information Technology and Services
14.6%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.2%
Alternatives
Discussions
ClearML 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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