2026 Best Software Awards are here!See the list
Compare DVC and Databricks 
Featured Products
At a Glance
Market Segments
Mid-Market (54.5% of reviews)
Enterprise (46.1% 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
(657)4.6 out of 5
Market Segments
Enterprise (46.1% 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 user experience, particularly with its intuitive interface and interactive notebooks that support SQL and Python for data visualization. This makes it easier for teams to collaborate and manage their data effectively.
- Users say that DVC stands out for its ability to provide a comprehensive overview of machine learning projects, allowing for metadata tracking and result plotting. This feature significantly enhances the reproducibility of results and streamlines the research process, which is highly valued by data scientists.
- According to verified reviews, Databricks has a much higher overall satisfaction score, reflecting its strong market presence and user base. With over 626 reviews compared to DVC's 11 reviews, users feel more confident in the reliability and support of Databricks.
- Reviewers mention that while DVC has a strong community and adheres to the UNIX philosophy, it may not be as user-friendly as Databricks, which has been praised for its ease of use and setup. This can be a crucial factor for teams looking to implement a solution quickly.
- Users highlight that Databricks offers robust features for scaling large language models and generative AI applications, making it a preferred choice for enterprises looking to leverage advanced analytics. This capability is particularly beneficial for organizations managing complex data workflows.
- G2 reviewers note that while DVC provides excellent versioning capabilities, Databricks outperforms in areas like scalability and quality of support, with users reporting timely assistance and effective solutions to their challenges, which enhances the overall user experience.
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
8.9
537
Ease of Use
6.9
9
8.9
548
Ease of Setup
Not enough data
8.7
421
Ease of Admin
Not enough data
8.3
175
Quality of Support
7.3
8
8.7
512
Has the product been a good partner in doing business?
Not enough data
8.9
179
Product Direction (% positive)
10.0
8
9.6
526
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
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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
169
Not enough data
8.5
163
Functionality
Not enough data
9.1
170
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
9.0
5
8.9
64
9.0
5
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Deployment
9.0
7
8.9
61
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
62
Not enough data
8.8
63
Not enough data
9.1
59
7.7
5
8.9
67
Operations
8.1
7
8.7
62
6.4
6
8.8
61
6.9
6
9.0
62
Management
6.9
6
8.8
60
7.1
7
8.7
60
8.3
6
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.8
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
181
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
174
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
170
|
Verified
Integration
Not enough data
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
155
|
Verified
Not enough data
9.1
176
|
Verified
Performance
Not enough data
9.1
176
|
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
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
228
Not enough data
8.9
234
Not enough data
9.3
241
Integrations
Not enough data
8.3
216
Not enough data
9.1
243
Platform
Not enough data
9.0
235
Not enough data
8.8
233
Not enough data
9.1
243
Processing
Not enough data
9.0
232
Not enough data
9.0
229
Data Transformation
Not enough data
8.8
223
Not enough data
9.0
229
Connectivity
Not enough data
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Operations
Not enough data
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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, and AI Agent Builders
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
15.0%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.8%
Hospital & Health Care
3.6%
Other
58.3%
Alternatives
Discussions
DVC 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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
