Compare DVC and Databricks 
At a Glance
Market Segments
Mid-Market (54.5% of reviews)
Enterprise (44.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DVC
Star Rating
(11)4.7 out of 5
Market Segments
Mid-Market (54.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DVCDatabricks
Star Rating
(759)4.6 out of 5
Market Segments
Enterprise (44.4% 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 Databricks excels in providing a comprehensive data workflow solution, allowing users to manage data processing, analysis, and machine learning all in one place. Features like Genie and Lakehouse Connect are highlighted as significant advantages that streamline operations.
- Users say that DVC stands out for its ability to version machine learning projects effectively, filling a unique gap in the market. Reviewers appreciate how it enhances reproducibility and collaboration within teams, making it a valuable tool for research processes.
- According to verified reviews, Databricks receives high marks for its ease of use and setup, with many users praising the intuitive onboarding experience. This contrasts with DVC, where some users find the setup process less straightforward, potentially impacting new users' initial experiences.
- Reviewers mention that Databricks offers robust support, with a quality of assistance that users find helpful during implementation and ongoing use. In comparison, DVC's support is viewed as less comprehensive, which may pose challenges for users needing immediate assistance.
- Users highlight Databricks' advanced features like Unity Catalog, which provides centralized governance and fine-grained access control, making it particularly appealing for enterprise-level users. DVC, while strong in versioning, may not offer the same level of enterprise-focused features, which could limit its appeal in larger organizations.
- G2 reviewers note that while DVC has a strong community and open-source culture, Databricks' extensive feature set and higher overall satisfaction ratings make it a more favorable choice for users looking for a comprehensive MLOps platform. This difference in user experience could influence decisions based on organizational needs.
Pricing
Entry-Level Pricing
DVC
No pricing availableDatabricks
No pricing availableFree Trial
DVC
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.9
9
9.0
594
Ease of Use
6.9
9
8.9
610
Ease of Setup
Not enough data
8.7
483
Ease of Admin
Not enough data
8.4
185
Quality of Support
7.3
8
8.7
572
Has the product been a good partner in doing business?
Not enough data
8.9
189
Product Direction (% positive)
10.0
8
9.6
582
Features by Category
Reports
Not enough data
8.5
14
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.0
17
Data Preparation
Not enough data
9.0
7
Not enough data
9.0
8
Data Modeling and Blending
Not enough data
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Generative AI
Not enough data
9.2
10
Not enough data
9.3
7
Agentic AI - Analytics Platforms
Not enough data
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Self Service
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
13
Not enough data
8.3
10
Deployment & Integration - Analytics Platforms
Not enough data
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Advanced Analytics
Not enough data
8.6
13
Not enough data
8.5
13
Not enough data
9.2
15
Performance & Scalability - Analytics Platforms
Not enough data
9.0
8
Not enough data
9.7
5
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Personalized Intelligence - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Building Reports
Not enough data
9.0
159
Not enough data
8.7
150
Not enough data
7.7
126
Not enough data
8.4
150
Administration
Not enough data
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Management
Not enough data
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Compliance
Not enough data
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Security
Not enough data
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Data Quality
Not enough data
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Maintainence
Not enough data
8.7
86
Not enough data
8.8
85
Generative AI
Not enough data
8.4
83
Not enough data
8.5
82
Agentic AI - Data Governance
Not enough data
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Management
Not enough data
8.6
173
Not enough data
8.5
165
Functionality
Not enough data
9.1
177
Not enough data
9.2
179
Not enough data
9.1
174
Not enough data
9.0
168
Not enough data
9.1
170
Deployment
9.0
5
8.9
65
9.0
5
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Deployment
9.0
7
8.9
62
8.8
7
8.8
62
9.0
7
8.6
66
7.6
7
8.9
65
7.5
6
9.0
66
Management
Not enough data
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
7.7
5
9.0
69
Operations
8.1
7
8.7
62
6.4
6
8.8
62
6.9
6
9.0
63
Management
6.9
6
8.8
61
7.1
7
8.7
61
8.3
6
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
181
Model Development
Not enough data
8.8
186
Not enough data
8.0
189
Not enough data
8.3
187
Not enough data
8.7
192
Model Development
Not enough data
8.5
173
Machine/Deep Learning Services
Not enough data
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Machine/Deep Learning Services
Not enough data
8.4
159
Not enough data
8.4
161
Deployment
Not enough data
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Generative AI
Not enough data
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Data Management
Not enough data
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Integration
Not enough data
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Deployment
Not enough data
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Performance
Not enough data
9.2
180
|
Verified
Security
Not enough data
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Generative AI
Not enough data
8.5
77
Not enough data
8.4
76
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
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Agentic AI - DataOps Platforms
Not enough data
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Analytics
Not enough data
8.8
68
Not enough data
8.6
68
Monitoring and Management
Not enough data
8.6
68
Not enough data
8.6
69
Cloud Deployment
Not enough data
9.0
64
Not enough data
9.0
65
Generative AI
Not enough data
9.0
37
Not enough data
8.9
37
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
Not enough data
8.7
237
Not enough data
8.9
245
Not enough data
9.3
265
Integrations
Not enough data
8.3
218
Not enough data
9.1
268
Platform
Not enough data
8.9
261
Not enough data
8.9
253
Not enough data
9.1
268
Processing
Not enough data
9.0
246
Not enough data
9.0
253
Data Transformation
Not enough data
8.9
229
Not enough data
9.1
238
Connectivity
Not enough data
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Operations
Not enough data
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
233
Building Reports
Not enough data
9.0
159
Not enough data
8.7
150
Not enough data
7.7
126
Not enough data
8.4
150
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
DVC and Databricks are categorized as MLOps Platforms
Unique Categories
DVC 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, AI Agent Builders, and AI Gateways
Reviews
Reviewers' Company Size
DVC
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
Research
18.2%
Computer Software
18.2%
Consulting
9.1%
Oil & Energy
9.1%
Logistics and Supply Chain
9.1%
Other
36.4%
Information Technology and Services
15.7%
Financial Services
10.3%
Computer Software
8.8%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Alternatives
Discussions
DVC has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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