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Compare Deepnote and Qubole 
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At a Glance
Market Segments
Small-Business (68.8% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
Free 1 Editors Per Month
30 day free trial
Deepnote
Star Rating
(356)4.5 out of 5
Market Segments
Small-Business (68.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 Editors Per Month
Browse all 3 pricing plansQubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Qubole excels in Data Ingestion & Wrangling with a score of 9.0, making it a preferred choice for handling large datasets efficiently, while Deepnote, with a score of 8.6, is noted for its ease of use in data preparation but may not match Qubole's capabilities in this area.
- Reviewers mention that Deepnote shines in Ease of Use with a score of 9.0, which is significantly higher than Qubole's score of 7.8. Users appreciate the intuitive interface that simplifies the data analysis process, making it more accessible for small businesses.
- G2 users highlight that Qubole's Managed Service feature scores 9.0, indicating strong support for cloud processing and scalability, while Deepnote's score of 8.2 suggests it may not provide the same level of managed services, which could be a drawback for enterprises looking for robust support.
- Users on G2 report that Deepnote's Collaboration / Workflow features score 8.7, allowing teams to work together seamlessly, whereas Qubole's score in this area is not as high, indicating that Deepnote may be better suited for collaborative projects.
- Reviewers mention that Qubole's Data Querying capabilities are rated at 8.8, which is higher than Deepnote's score of 8.5. This suggests that Qubole may offer more advanced querying options, which can be crucial for users needing detailed data analysis.
- Users say that while both platforms offer Integration APIs with a score of 8.0, Qubole's integration with Hadoop and Spark (both rated at 8.6) is particularly praised for its robustness, making it a better choice for users who rely heavily on these technologies.
Pricing
Entry-Level Pricing
Deepnote
Free
Free
1 Editors Per Month
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU
Qubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
Free Trial
Deepnote
Free Trial is available
Qubole
Free Trial is available
Ratings
Meets Requirements
8.7
322
8.4
211
Ease of Use
8.9
325
7.8
212
Ease of Setup
9.0
254
7.6
60
Ease of Admin
8.8
53
7.6
58
Quality of Support
8.7
223
7.9
177
Has the product been a good partner in doing business?
8.6
53
8.1
61
Product Direction (% positive)
9.4
317
7.1
208
Features by Category
Reports
8.0
173
Not enough data
7.7
173
Not enough data
7.6
178
Not enough data
7.4
167
Not enough data
7.6
168
Not enough data
Data Preparation
8.5
150
Not enough data
7.6
142
Not enough data
Data Modeling and Blending
8.5
152
Not enough data
8.3
149
Not enough data
8.4
145
Not enough data
Generative AI
6.9
57
Not enough data
6.8
55
Not enough data
Agentic AI - Analytics Platforms
6.5
23
Not enough data
6.3
23
Not enough data
7.1
23
Not enough data
6.2
23
Not enough data
7.0
22
Not enough data
6.3
22
Not enough data
6.8
23
Not enough data
Self Service
8.2
163
Not enough data
8.4
169
Not enough data
8.3
169
Not enough data
7.7
165
Not enough data
8.6
170
Not enough data
7.8
160
Not enough data
Deployment & Integration - Analytics Platforms
7.0
21
Not enough data
7.2
21
Not enough data
7.0
20
Not enough data
7.5
21
Not enough data
Advanced Analytics
7.7
162
Not enough data
8.1
169
Not enough data
7.8
151
Not enough data
Performance & Scalability - Analytics Platforms
6.9
21
Not enough data
7.1
21
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
7.3
20
Not enough data
7.8
20
Not enough data
7.3
20
Not enough data
Agentic AI Capabilities - Analytics Platforms
7.1
20
Not enough data
7.4
20
Not enough data
7.3
19
Not enough data
6.9
19
Not enough data
Personalized Intelligence - Analytics Platforms
7.0
19
Not enough data
7.0
20
Not enough data
7.3
20
Not enough data
Building Reports
8.2
149
Not enough data
8.3
148
Not enough data
7.7
145
Not enough data
8.0
148
Not enough data
Functionality
9.2
143
Not enough data
8.3
142
Not enough data
7.8
130
Not enough data
7.5
139
Not enough data
8.9
140
Not enough data
8.1
138
Not enough data
8.4
133
Not enough data
System
8.6
167
9.0
7
Model Development
8.3
168
7.9
7
Feature Not Available
6.7
5
7.4
166
8.0
5
7.2
171
8.1
6
Model Development
7.6
156
8.3
5
Machine/Deep Learning Services
6.5
160
Not enough data
7.1
160
Not enough data
6.9
154
Not enough data
7.0
157
Not enough data
Machine/Deep Learning Services
7.2
147
Not enough data
7.5
149
8.0
5
Deployment
8.0
161
9.0
5
8.0
165
8.3
6
7.8
161
8.8
7
Generative AI
7.3
53
Not enough data
7.0
52
Not enough data
6.3
51
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
5.5
17
Not enough data
6.0
16
Not enough data
6.3
17
Not enough data
5.7
16
Not enough data
5.8
16
Not enough data
5.7
16
Not enough data
7.0
16
Not enough data
Database
Not enough data
8.0
64
Not enough data
8.4
83
Not enough data
8.3
79
Integrations
Not enough data
8.6
81
Not enough data
8.6
87
Platform
Not enough data
8.3
72
Not enough data
8.3
82
Not enough data
8.6
87
Processing
Not enough data
8.5
85
Not enough data
8.3
82
Data Transformation
Not enough data
8.0
119
|
Verified
Not enough data
8.8
10
|
Verified
Connectivity
Not enough data
8.8
107
|
Verified
Not enough data
8.6
123
|
Verified
Not enough data
8.3
108
|
Verified
Not enough data
8.5
113
|
Verified
Operations
Not enough data
7.0
104
|
Verified
Not enough data
7.8
116
|
Verified
Not enough data
7.2
75
|
Verified
Not enough data
7.8
69
|
Verified
Not enough data
8.8
11
|
Verified
Building Reports
8.2
149
Not enough data
8.3
148
Not enough data
7.7
145
Not enough data
8.0
148
Not enough data
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
Deepnote and Qubole are categorized as Data Science and Machine Learning Platforms
Unique Categories
Deepnote is categorized as Python Integrated Development Environments (IDE) and Analytics Platforms
Qubole is categorized as Big Data Processing and Distribution, Big Data Analytics, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Deepnote
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qubole
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
17.2%
Higher Education
12.3%
Information Technology and Services
11.5%
Financial Services
8.0%
Research
4.0%
Other
47.0%
Computer Software
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
Alternatives
Discussions
Is Deepnote good?
1 Comment
KP
YesRead more
Deepnote has no more discussions with answers
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 Comments
RR
It give clarity about financial data which help at business level to expansion and cut down cost , to review apex and opex and budgeting prospectiveRead more
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
2 Comments
RR
we can create schma by using postman and multiple chart which to help to analysis the data and clarity about the decision making of further processRead more
How is Qubole going to survive the Kubernates wave in bigdata processing.
1 Comment
JV
Qubole supports Kubernetes for its control plane—it was announced in April 2019 during the Google Next '19 conference. Please sign up to our newsletter for...Read more
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