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Compare Dataiku and Hex 
Featured Products
At a Glance
Market Segments
Enterprise (61.1% of reviews)
Mid-Market (59.8% of reviews)
Entry-Level Pricing
Free 3 Users
Free Per Month
Dataiku
Star Rating
(189)4.4 out of 5
Market Segments
Enterprise (61.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansHex
Star Rating
(340)4.5 out of 5
Market Segments
Mid-Market (59.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that both Dataiku and Hex offer user-friendly experiences, but Dataiku stands out for its intuitive graphical user interface, which allows users to manage code and datasets visually. This feature has been praised for making the platform soothing to use and great for quickly prototyping projects.
- Users say that Hex excels in its seamless integration with BigQuery, making data connections straightforward. Reviewers appreciate the write-back function capability, which enhances their workflow efficiency, while Dataiku's visual management tools are noted for their effectiveness in aligning datasets and code.
- According to verified reviews, Dataiku has a slight edge in overall user satisfaction, particularly in areas like model training and pre-built algorithms, where users find it easier to implement complex data science tasks. In contrast, Hex users have expressed some limitations in these advanced features, which may affect their data analysis capabilities.
- Reviewers mention that Dataiku's setup process is generally smooth, but Hex has received specific praise for its quick implementation and support during onboarding. Users have highlighted how Hex's setup was seamless, which can be a significant advantage for teams looking to get started quickly.
- Users appreciate the collaborative features in both platforms, but Dataiku's tools for collaboration and workflow management are frequently highlighted as particularly robust. This makes it easier for teams to work together on data projects, while Hex's app builder is noted for its user-friendliness, allowing for custom report creation.
- G2 reviewers indicate that while both platforms are competitive in terms of data visualization, Hex has received higher marks for its dashboard capabilities. Users find Hex's dashboards to be more visually appealing and easier to navigate, which can enhance the overall data presentation experience compared to Dataiku's offerings.
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
Hex
Community
Free
Per Month
The free version of Hex. Great for individuals.
- Up to 3 project authors
- 7-day project version history
- Project data connections & secrets
Free Trial
Dataiku
Free Trial is available
Hex
Free Trial is available
Ratings
Meets Requirements
8.7
171
8.5
282
Ease of Use
8.8
170
8.7
290
Ease of Setup
8.2
132
8.9
167
Ease of Admin
8.0
60
9.0
56
Quality of Support
8.6
155
8.5
207
Has the product been a good partner in doing business?
8.6
60
9.1
58
Product Direction (% positive)
9.0
167
9.2
286
Features by Category
Reports
7.8
76
8.3
215
7.7
75
7.6
203
7.5
76
7.4
223
7.5
74
7.2
192
7.6
76
8.1
212
Self Service
8.2
75
7.7
203
8.6
74
8.1
206
8.4
74
7.9
204
7.9
74
7.2
202
8.7
74
8.3
213
8.1
74
6.1
183
Advanced Analytics
8.4
74
6.5
185
7.8
75
7.8
208
8.0
74
7.0
190
Building Reports
8.5
91
8.0
185
8.6
88
7.8
180
7.7
85
7.5
175
8.1
89
7.0
164
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
Reports
7.8
76
8.3
215
7.7
75
7.6
203
7.5
76
7.4
223
7.5
74
7.2
192
7.6
76
8.1
212
Data Preparation
8.7
65
8.0
162
8.2
63
Feature Not Available
Data Modeling and Blending
8.6
62
8.7
171
8.6
62
8.3
169
8.7
62
8.3
163
Generative AI
7.9
50
6.1
96
8.0
50
6.0
93
Agentic AI - Analytics Platforms
Not enough data
6.4
32
Not enough data
6.3
29
Not enough data
6.9
30
Not enough data
6.4
28
Not enough data
6.7
31
Not enough data
6.3
28
Not enough data
7.0
27
Self Service
8.2
75
7.7
203
8.6
74
8.1
206
8.4
74
7.9
204
7.9
74
7.2
202
8.7
74
8.3
213
8.1
74
6.1
183
Deployment & Integration - Analytics Platforms
Not enough data
6.9
29
Not enough data
7.9
36
Not enough data
6.9
26
Not enough data
8.0
33
Advanced Analytics
8.4
74
6.5
185
7.8
75
7.8
208
8.0
74
7.0
190
Performance & Scalability - Analytics Platforms
Not enough data
6.9
36
Not enough data
7.2
30
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
7.1
29
Not enough data
8.3
44
Not enough data
6.3
27
Agentic AI Capabilities - Analytics Platforms
Not enough data
6.7
27
Not enough data
7.2
30
Not enough data
6.7
27
Not enough data
6.6
27
Personalized Intelligence - Analytics Platforms
Not enough data
6.5
26
Not enough data
6.2
26
Not enough data
7.0
28
Building Reports
8.5
91
8.0
185
8.6
88
7.8
180
7.7
85
7.5
175
8.1
89
7.0
164
Reports
7.8
76
8.3
215
7.7
75
7.6
203
7.5
76
7.4
223
7.5
74
7.2
192
7.6
76
8.1
212
Self Service
8.2
75
7.7
203
8.6
74
8.1
206
8.4
74
7.9
204
7.9
74
7.2
202
8.7
74
8.3
213
8.1
74
6.1
183
Building Reports
8.5
91
8.0
185
8.6
88
7.8
180
7.7
85
7.5
175
8.1
89
7.0
164
Functionality
Not enough data
8.7
63
Not enough data
6.9
56
Not enough data
7.5
48
Not enough data
7.4
54
Not enough data
8.8
58
Not enough data
7.5
57
Not enough data
7.9
52
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
8.0
91
Model Development
8.4
78
7.4
89
8.8
77
7.0
93
8.6
78
5.5
87
8.5
77
5.5
89
Model Development
8.5
77
5.9
79
Machine/Deep Learning Services
8.0
74
4.4
81
8.1
74
5.1
84
7.9
73
4.8
82
7.9
72
4.5
80
Machine/Deep Learning Services
7.7
68
5.1
69
7.9
69
5.0
70
Deployment
8.1
74
6.9
85
8.2
77
7.0
84
8.3
76
6.7
85
Generative AI
8.1
60
5.7
40
8.0
60
5.7
40
7.7
59
4.3
40
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
5.3
10
Not enough data
5.7
10
Not enough data
7.0
10
Not enough data
4.7
10
Not enough data
6.1
11
Not enough data
5.8
10
Not enough data
5.7
10
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
8.2
19
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
7.6
11
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
8.0
185
8.6
88
7.8
180
7.7
85
7.5
175
8.1
89
7.0
164
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 Hex are categorized as Data Science and Machine Learning Platforms and Analytics Platforms
Unique Categories
Hex is categorized as Python Integrated Development Environments (IDE) and Embedded Business Intelligence
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hex
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%
Insurance
5.1%
Other
61.7%
Computer Software
21.3%
Information Technology and Services
19.9%
Financial Services
11.8%
Hospital & Health Care
4.4%
Marketing and Advertising
3.4%
Other
39.2%
Alternatives
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
Hex has no discussions with answers
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