Compare Dataiku and Hex 
Featured Products
At a Glance
Market Segments
Enterprise (61.5% of reviews)
Mid-Market (60.6% of reviews)
Entry-Level Pricing
Free 3 Users
Free Per Month
Dataiku
Star Rating
(196)4.4 out of 5
Market Segments
Enterprise (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansHex
Star Rating
(379)4.5 out of 5
Market Segments
Mid-Market (60.6% 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 Dataiku excels in its user-friendly interface and strong collaboration features, making it a preferred choice for teams of data scientists, analysts, and engineers who need to work together seamlessly on projects.
- Users say that Hex stands out for its ease of use, particularly due to its prebuilt components that require less customization. This allows users to dive into data analysis quickly, as highlighted by one reviewer who appreciates the straightforward nature of the platform.
- According to verified reviews, Dataiku is praised for its comprehensive support for both coders and non-coders, enabling a wide range of users to engage with data effectively. This versatility is a significant advantage for organizations with diverse skill sets.
- Reviewers mention that Hex's notebook feature enhances the data analytics experience, allowing users to slice and analyze data effortlessly. The direct connection to Snowflake is also noted as a major benefit, simplifying data access and integration.
- Users appreciate Dataiku's capabilities in streamlining the building, training, and deployment of AI models at scale. The platform's end-to-end automation and collaborative pipelines are highlighted as key features that make generative AI projects faster and more reliable.
- G2 reviewers indicate that while Dataiku has a strong focus on data lifecycle management, Hex's ability to utilize SQL and Python for querying databases provides a flexible approach that many users find beneficial for granular data analysis across various projects.
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
175
8.5
295
Ease of Use
8.8
174
8.7
303
Ease of Setup
8.1
135
8.9
178
Ease of Admin
8.0
61
9.0
57
Quality of Support
8.6
159
8.5
216
Has the product been a good partner in doing business?
8.6
61
9.1
59
Product Direction (% positive)
9.1
172
9.2
298
Features by Category
Reports
7.8
76
8.3
220
7.7
75
7.6
207
7.5
76
7.4
227
7.5
74
7.2
192
7.6
76
8.1
214
Self Service
8.2
76
7.7
203
8.6
75
8.1
206
8.4
75
7.9
207
7.9
74
7.2
202
8.7
74
8.3
219
8.1
74
6.1
183
Advanced Analytics
8.4
74
6.5
185
7.8
76
7.8
210
8.0
74
7.0
190
Building Reports
8.5
92
8.0
185
8.6
89
7.8
180
7.7
85
7.5
175
8.1
89
7.0
165
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
220
7.7
75
7.6
207
7.5
76
7.4
227
7.5
74
7.2
192
7.6
76
8.1
214
Data Preparation
8.7
65
8.0
163
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
51
6.1
96
8.0
50
6.0
93
Agentic AI - Analytics Platforms
Not enough data
6.5
33
Not enough data
6.3
29
Not enough data
6.9
30
Not enough data
6.4
28
Not enough data
7.0
35
Not enough data
6.4
29
Not enough data
7.1
28
Self Service
8.2
76
7.7
203
8.6
75
8.1
206
8.4
75
7.9
207
7.9
74
7.2
202
8.7
74
8.3
219
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
8.1
35
Advanced Analytics
8.4
74
6.5
185
7.8
76
7.8
210
8.0
74
7.0
190
Performance & Scalability - Analytics Platforms
Not enough data
6.5
39
Not enough data
7.1
31
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
7.2
30
Not enough data
8.4
49
Not enough data
6.3
27
Agentic AI Capabilities - Analytics Platforms
Not enough data
6.8
28
Not enough data
7.5
34
Not enough data
6.7
27
Not enough data
6.7
28
Personalized Intelligence - Analytics Platforms
Not enough data
6.5
26
Not enough data
6.2
26
Not enough data
7.2
31
Building Reports
8.5
92
8.0
185
8.6
89
7.8
180
7.7
85
7.5
175
8.1
89
7.0
165
Reports
7.8
76
8.3
220
7.7
75
7.6
207
7.5
76
7.4
227
7.5
74
7.2
192
7.6
76
8.1
214
Self Service
8.2
76
7.7
203
8.6
75
8.1
206
8.4
75
7.9
207
7.9
74
7.2
202
8.7
74
8.3
219
8.1
74
6.1
183
Building Reports
8.5
92
8.0
185
8.6
89
7.8
180
7.7
85
7.5
175
8.1
89
7.0
165
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
8.1
92
Model Development
8.4
78
7.4
90
8.8
78
7.0
94
8.6
78
5.5
87
8.5
77
5.5
89
Model Development
8.5
78
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
8.0
70
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
8.1
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
7.6
9
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
7.4
16
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
7.1
18
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
92
8.0
185
8.6
89
7.8
180
7.7
85
7.5
175
8.1
89
7.0
165
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
15.0%
Pharmaceuticals
7.2%
Manufacturing
5.6%
Retail
5.6%
Consulting
5.0%
Other
61.7%
Computer Software
22.0%
Information Technology and Services
19.4%
Financial Services
11.7%
Hospital & Health Care
4.2%
Marketing and Advertising
3.2%
Other
39.5%
Alternatives
Discussions
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 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 machine learning algorithms do you support?
1 Comment
Official Response from Dataiku
Dataiku leverages machine learning libraries from scikit-learn, Spark MLlib, H2O and Vertica for guided ML analyses that give you instant visual &...Read more
Hex has no discussions with answers
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