Compare Dataiku and Deepnote 
Featured Products
At a Glance
Market Segments
Enterprise (61.7% of reviews)
Small-Business (68.7% of reviews)
Entry-Level Pricing
Free 3 Users
Free 1 Editors Per Month
Dataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansDeepnote
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 Deepnote excels in ease of setup, with many users highlighting its intuitive onboarding process that allows for quick access to features. This is particularly beneficial for teams looking to start coding and collaborating without the hassle of environment deployment.
- Users say that Dataiku offers a soothing user experience with its graphical interface, which helps manage code and datasets visually. This feature is praised for making the platform easy to use, especially for those who are new to AI and data science.
- Reviewers mention that Deepnote's AI Assistant integrates seamlessly within its notebook style, enhancing productivity by allowing users to access tools directly in their workspace. This integration is a standout feature for those who value efficiency in their data analysis tasks.
- According to verified reviews, Dataiku is recognized for its strong support for enterprise-level needs, making it a preferred choice for larger organizations. Users appreciate its capabilities in handling complex data workflows and providing robust data governance features.
- G2 reviewers highlight that while both platforms have similar scores in meeting user requirements, Deepnote's collaboration features are particularly well-received, allowing for real-time coding and sharing among team members, which is essential for modern data projects.
- Users report that Dataiku's data ingestion and wrangling capabilities are highly effective, making it easier to prepare data for analysis. This is a significant advantage for users who prioritize data preparation in their workflows, especially when prototyping and developing MVPs.
Pricing
Entry-Level Pricing
Dataiku
Install Dataiku on Your Infrastructure
Free
3 Users
Download Free Edition on Mac, Linux, or virtual machine | Collaborate with up to 3 users | Prepare data and build basic data projects and apps (no deployment, automation, governance)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
- The LLM Mesh
Deepnote
Free
Free
1 Editors Per Month
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU
Free Trial
Dataiku
Free Trial is available
Deepnote
Free Trial is available
Ratings
Meets Requirements
8.7
171
8.6
344
Ease of Use
8.8
170
8.9
347
Ease of Setup
8.1
132
9.0
271
Ease of Admin
8.0
61
8.8
57
Quality of Support
8.6
156
8.7
234
Has the product been a good partner in doing business?
8.6
61
8.6
56
Product Direction (% positive)
9.0
167
9.4
339
Features by Category
Reports
7.8
76
8.0
176
7.7
75
7.7
173
7.5
76
7.5
179
7.5
74
7.4
167
7.6
76
7.6
170
Data Preparation
8.7
65
8.5
153
8.2
63
7.6
142
Data Modeling and Blending
8.6
62
8.5
152
8.6
62
8.3
149
8.7
62
8.4
146
Generative AI
7.9
50
7.0
58
8.0
50
6.8
55
Agentic AI - Analytics Platforms
Not enough data
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
Self Service
8.2
75
8.2
163
8.6
74
8.4
169
8.4
74
8.3
172
7.9
74
7.7
165
8.7
74
8.7
175
8.1
74
7.8
161
Deployment & Integration - Analytics Platforms
Not enough data
7.0
21
Not enough data
7.2
21
Not enough data
6.7
21
Not enough data
7.7
22
Advanced Analytics
8.4
74
7.7
162
7.8
75
8.1
173
8.0
74
7.8
151
Performance & Scalability - Analytics Platforms
Not enough data
6.8
25
Not enough data
7.1
21
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
7.3
20
Not enough data
7.8
21
Not enough data
7.3
20
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.1
20
Not enough data
7.4
20
Not enough data
7.3
19
Not enough data
6.9
19
Personalized Intelligence - Analytics Platforms
Not enough data
7.0
19
Not enough data
7.0
20
Not enough data
7.3
20
Building Reports
8.5
91
8.2
150
8.6
88
8.3
149
7.7
85
7.7
146
8.1
89
8.0
148
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
Deployment
8.1
15
Not enough data
8.7
15
Not enough data
8.6
15
Not enough data
8.9
15
Not enough data
9.0
15
Not enough data
Deployment
7.8
12
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.8
13
Not enough data
8.8
13
Not enough data
Management
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Not enough data
Operations
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Not enough data
Management
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Not enough data
Generative AI
8.3
6
Not enough data
8.3
6
Not enough data
System
8.6
75
8.6
169
Model Development
8.4
78
8.3
168
8.8
77
Feature Not Available
8.6
78
7.4
166
8.5
77
7.2
171
Model Development
8.5
77
7.6
156
Machine/Deep Learning Services
8.0
74
6.5
160
8.1
74
7.1
160
7.9
73
6.9
154
7.9
72
7.0
157
Machine/Deep Learning Services
7.7
68
7.2
147
7.9
69
7.5
149
Deployment
8.1
74
8.0
162
8.2
77
7.9
166
8.3
76
7.8
162
Generative AI
8.1
60
7.2
54
8.0
60
7.0
52
7.7
59
6.3
51
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
5.5
18
Not enough data
6.0
17
Not enough data
6.5
18
Not enough data
5.7
16
Not enough data
5.9
17
Not enough data
5.7
16
Not enough data
7.0
16
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
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
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
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
Scalability and Performance - Generative AI Infrastructure
8.1
18
Not enough data
7.6
19
Not enough data
7.5
16
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.0
17
Not enough data
7.3
10
Not enough data
8.1
9
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
17
Not enough data
7.7
18
Not enough data
7.5
17
Not enough data
Security and Compliance - Generative AI Infrastructure
7.3
16
Not enough data
7.4
16
Not enough data
7.7
16
Not enough data
Usability and Support - Generative AI Infrastructure
7.3
17
Not enough data
7.1
16
Not enough data
Integration - Machine Learning
8.7
26
Not enough data
Learning - Machine Learning
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
7.5
11
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.3
11
Not enough data
7.9
11
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
11
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
7.9
11
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
11
Not enough data
7.7
11
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
6.8
11
Not enough data
6.7
11
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
11
Not enough data
7.4
11
Not enough data
Security - Large Language Model Operationalization (LLMOps)
7.6
11
Not enough data
7.4
11
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.1
11
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
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
Performance Optimization & Analytics - AI Orchestration
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
Governance & Compliance Controls - AI Orchestration
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
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.2
35
Not enough data
8.5
35
Not enough data
8.0
35
Not enough data
Data Analysis
8.5
37
Not enough data
8.8
37
Not enough data
Decision Making
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Not enough data
Generative AI
8.6
20
Not enough data
8.3
20
Not enough data
Data Transformation
8.5
44
Not enough data
9.2
39
Not enough data
Connectivity
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Not enough data
8.9
44
Not enough data
Operations
8.1
42
Not enough data
9.1
41
Not enough data
8.7
40
Not enough data
8.6
40
Not enough data
8.9
35
Not enough data
Agentic AI - AI Agents
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
Building Reports
8.5
91
8.2
150
8.6
88
8.3
149
7.7
85
7.7
146
8.1
89
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
Dataiku and Deepnote are categorized as Data Science and Machine Learning Platforms and Analytics Platforms
Unique Categories
Deepnote is categorized as Python Integrated Development Environments (IDE)
Reviews
Reviewers' Company Size
Dataiku
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
Financial Services
14.9%
Pharmaceuticals
7.4%
Retail
5.7%
Manufacturing
5.1%
Consulting
5.1%
Other
61.7%
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
Can I securely work on my sensitive data?
2 Comments
PB
Hi,
DSS is on-premise software but we also provide a Amazon image and Docker if desired. You can try DSS on your own computer for free by downloading the...Read more
What data visualization and reporting methods do you support?
2 Comments
Official Response from Dataiku
Dataiku supports a number of tools for engaging stakeholders and team members, including:
- 25 types of interactive charts
- Dashboards that allow you...Read more
Can I test Data Science Studio ?
1 Comment
PB
Hi,
First of all, thanks for your interest. You can try DSS out for free on Dataiku's website (www.dataiku.com/try). You can download the Community Edition...Read more
Deepnote has no more discussions with answers
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