Compare Databricks and Deepnote 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Small-Business (68.7% of reviews)
Entry-Level Pricing
No pricing available
Free 1 Editors Per Month
Databricks
Star Rating
(727)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksDeepnote
Star Rating
(378)4.5 out of 5
Market Segments
Small-Business (68.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 Editors Per Month
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one place. Users appreciate how this integration simplifies their tasks compared to using multiple tools.
- Users say that Deepnote shines in collaboration, likening its functionality to a Google Docs experience for data science teams. The ability for multiple users to work on a single document simultaneously enhances teamwork and efficiency, making it a preferred choice for collaborative projects.
- Reviewers mention that Databricks offers robust governance features through its Unity Catalog, which has been a game-changer for enterprises migrating from traditional architectures. This capability provides centralized governance and fine-grained access control, which users find invaluable for managing large datasets.
- According to verified reviews, Deepnote's quick setup and browser-based operation are significant advantages, allowing users to get started without interruptions. This ease of access is particularly appealing for teams looking to minimize downtime during implementation.
- G2 reviewers highlight that while both platforms have similar ease of use ratings, Databricks provides a more extensive range of features that cater to complex data needs. Users appreciate the depth of functionality, especially in areas like data ingestion and machine learning model training.
- Users report that Databricks has a slight edge in overall satisfaction, with higher ratings in product direction and support quality. This suggests that users feel more confident in Databricks' ongoing development and support, which is crucial for long-term projects.
Pricing
Entry-Level Pricing
Databricks
No pricing availableDeepnote
Free
Free
1 Editors Per Month
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU
Free Trial
Databricks
Free Trial is available
Deepnote
Free Trial is available
Ratings
Meets Requirements
8.9
576
8.6
344
Ease of Use
8.9
587
8.9
347
Ease of Setup
8.7
459
9.0
271
Ease of Admin
8.4
184
8.8
57
Quality of Support
8.7
551
8.7
234
Has the product been a good partner in doing business?
8.9
188
8.6
56
Product Direction (% positive)
9.6
564
9.4
339
Features by Category
Reports
8.3
12
8.0
176
7.7
10
7.7
173
8.3
11
7.5
179
8.0
9
7.4
167
9.0
15
7.6
170
Data Preparation
8.9
6
8.5
153
8.8
7
7.6
142
Data Modeling and Blending
9.0
8
8.5
152
8.8
7
8.3
149
8.8
8
8.4
146
Generative AI
9.1
9
7.0
58
9.2
6
6.8
55
Agentic AI - Analytics Platforms
9.3
7
6.5
23
8.7
5
6.3
23
8.3
6
7.1
23
8.3
6
6.2
23
8.3
7
7.0
22
9.7
6
6.3
22
9.3
5
6.8
23
Self Service
7.7
10
8.2
163
7.7
10
8.4
169
8.5
11
8.3
172
8.1
12
7.7
165
8.2
11
8.7
175
7.9
8
7.8
161
Deployment & Integration - Analytics Platforms
8.1
7
7.0
21
9.2
8
7.2
21
8.6
6
6.7
21
9.2
6
7.7
22
Advanced Analytics
8.3
11
7.7
162
8.2
11
8.1
173
9.0
12
7.8
151
Performance & Scalability - Analytics Platforms
8.8
7
6.8
25
Not enough data
7.1
21
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
7.3
20
8.5
8
7.8
21
8.6
6
7.3
20
Agentic AI Capabilities - Analytics Platforms
8.6
7
7.1
20
8.8
7
7.4
20
8.9
6
7.3
19
8.6
7
6.9
19
Personalized Intelligence - Analytics Platforms
9.2
6
7.0
19
7.9
8
7.0
20
8.3
7
7.3
20
Building Reports
9.0
149
8.2
150
8.6
143
8.3
149
7.6
123
7.7
146
8.4
145
8.0
148
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
87
Not enough data
8.9
86
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
84
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
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
Not enough data
Functionality
Not enough data
9.2
150
Not enough data
8.3
143
Not enough data
7.8
134
Not enough data
7.5
143
Not enough data
8.9
145
Not enough data
8.1
140
Not enough data
8.4
133
Management
8.6
171
Not enough data
8.5
164
Not enough data
Functionality
9.1
174
Not enough data
9.2
175
Not enough data
9.1
172
Not enough data
9.0
167
Not enough data
9.1
167
Not enough data
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
64
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
8.6
169
Model Development
8.8
182
8.3
168
7.9
187
Feature Not Available
8.3
186
7.4
166
8.7
191
7.2
171
Model Development
8.5
172
7.6
156
Machine/Deep Learning Services
8.2
174
6.5
160
8.5
180
7.1
160
8.3
172
6.9
154
8.2
172
7.0
157
Machine/Deep Learning Services
8.4
158
7.2
147
8.4
160
7.5
149
Deployment
8.5
178
8.0
162
8.7
180
7.9
166
9.0
187
7.8
162
Generative AI
8.2
86
7.2
54
8.4
87
7.0
52
7.6
86
6.3
51
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
5.5
18
8.3
7
6.0
17
8.1
8
6.5
18
8.6
7
5.7
16
9.2
10
5.9
17
9.2
6
5.7
16
9.3
7
7.0
16
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
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
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
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
8.7
237
Not enough data
8.9
244
Not enough data
9.3
259
Not enough data
Integrations
8.3
220
Not enough data
9.1
259
Not enough data
Platform
9.0
251
Not enough data
8.8
249
Not enough data
9.1
259
Not enough data
Processing
9.0
244
Not enough data
9.0
246
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
233
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
228
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
231
Not enough data
Building Reports
9.0
149
8.2
150
8.6
143
8.3
149
7.6
123
7.7
146
8.4
145
8.0
148
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 and Deepnote are categorized as Data Science and Machine Learning Platforms and Analytics Platforms
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Deepnote
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
15.8%
Financial Services
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Computer Software
17.5%
Higher Education
11.9%
Information Technology and Services
11.6%
Financial Services
8.6%
Research
4.0%
Other
46.4%
Discussions
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?
4 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
Deepnote has no more discussions with answers
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