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Compare Dataiku and H2O 
At a Glance
Market Segments
Enterprise (64.4% of reviews)
Small-Business (54.5% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(175)4.4 out of 5
Market Segments
Enterprise (64.4% of reviews)
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansH2O
Star Rating
(24)4.5 out of 5
Market Segments
Small-Business (54.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about H2OSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dataiku excels in data preparation with its robust Data Wrangling capabilities, scoring 8.4, while H2O offers slightly better language support at 9.0, making it more versatile for users working with multiple programming languages.
- Reviewers mention that Dataiku's drag-and-drop interface is highly intuitive, scoring 9.0, which enhances user experience, whereas H2O's drag-and-drop functionality is rated lower at 8.3, indicating a less user-friendly experience.
- G2 users highlight that Dataiku's model training capabilities are impressive, with a score of 9.0, but H2O matches this with a score of 9.2, showcasing its strong performance in model development and training.
- Users on G2 report that Dataiku's reporting features, particularly the WYSIWYG Report Design, score 8.6, providing a seamless experience for creating reports, while H2O's report generation is rated slightly lower at 8.3, indicating room for improvement.
- Reviewers mention that H2O shines in scalability, with a score of 8.6, making it a better choice for organizations anticipating rapid growth, while Dataiku's scalability is rated at 8.3, which may be a consideration for larger enterprises.
- Users say that Dataiku's community support and documentation quality are strong, contributing to a better user experience, while H2O's documentation is noted as needing improvement, which could hinder new users in navigating the platform effectively.
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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
H2O
No pricing availableFree Trial
Dataiku
Free Trial is available
H2O
Free Trial is available
Ratings
Meets Requirements
8.8
159
8.0
15
Ease of Use
8.8
158
9.0
14
Ease of Setup
8.1
121
7.8
6
Ease of Admin
8.0
59
8.3
6
Quality of Support
8.6
144
8.8
13
Has the product been a good partner in doing business?
8.6
59
8.3
5
Product Direction (% positive)
9.0
155
6.4
13
Features by Category
Reports
7.8
76
Not enough data
7.7
75
Not enough data
7.5
76
Not enough data
7.5
74
Not enough data
7.6
76
Not enough data
Data Preparation
8.7
65
Not enough data
8.2
63
Not enough data
Data Modeling and Blending
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Not enough data
Generative AI
7.9
50
Not enough data
8.0
50
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
8.2
75
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
7.9
74
Not enough data
8.7
74
Not enough data
8.1
74
Not enough data
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.4
74
Not enough data
7.8
75
Not enough data
8.0
74
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.5
90
Not enough data
8.6
87
Not enough data
7.8
84
Not enough data
8.1
88
Not enough data
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
73
8.5
8
8.3
72
9.0
8
8.5
76
8.8
7
Model Development
8.4
76
8.3
8
8.8
75
8.3
8
8.6
76
9.4
8
8.5
75
9.2
8
Model Development
8.6
73
9.0
8
8.3
75
9.0
8
8.5
75
9.0
8
Machine/Deep Learning Services
8.0
72
Not enough data
8.1
72
Not enough data
7.9
71
Not enough data
8.0
70
9.0
5
Machine/Deep Learning Services
7.7
69
Not enough data
7.8
66
Not enough data
7.8
65
Not enough data
8.0
67
9.0
5
Deployment
8.2
72
8.1
6
8.3
75
8.0
5
8.3
74
8.6
6
Deployment
8.2
67
6.9
6
8.3
68
7.0
5
8.3
68
8.6
6
Generative AI
8.1
58
Not enough data
8.0
58
Not enough data
7.7
57
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Scalability and Performance - Generative AI Infrastructure
8.3
9
Not enough data
8.1
9
Not enough data
7.6
7
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.1
8
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.5
8
Not enough data
7.4
7
Not enough data
7.6
7
Not enough data
Security and Compliance - Generative AI Infrastructure
7.9
7
Not enough data
7.4
7
Not enough data
7.6
7
Not enough data
Usability and Support - Generative AI Infrastructure
6.9
8
Not enough data
6.4
7
Not enough data
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
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
Agentic AI - Artificial Neural Network
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
Integration - Machine Learning
8.7
25
Not enough data
Learning - Machine Learning
8.3
26
Not enough data
7.9
27
Not enough data
8.0
27
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.5
10
Not enough data
8.0
10
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.3
10
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.7
10
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
7.7
10
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
8.2
10
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
8.5
10
Not enough data
7.8
10
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
7.0
10
Not enough data
6.7
10
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
7.3
10
Not enough data
7.3
10
Not enough data
Security - Large Language Model Operationalization (LLMOps)
7.7
10
Not enough data
7.7
10
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
7.0
10
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
Statistical Tool
8.2
34
8.1
6
8.6
34
Not enough data
8.0
34
8.3
5
Data Analysis
8.5
36
8.7
5
8.8
36
8.0
5
Decision Making
8.6
34
9.0
5
7.9
35
Not enough data
7.7
34
8.3
5
8.6
35
7.0
5
Generative AI
8.6
19
Not enough data
8.2
19
Not enough data
Data Transformation
8.5
43
Not enough data
9.2
38
Not enough data
Connectivity
8.3
37
Not enough data
8.3
39
Not enough data
8.8
40
Not enough data
9.0
43
Not enough data
Operations
8.1
41
Not enough data
9.2
40
Not enough data
8.7
39
Not enough data
8.7
39
Not enough data
8.9
34
Not enough data
Building Reports
8.5
90
Not enough data
8.6
87
Not enough data
7.8
84
Not enough data
8.1
88
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
Dataiku and H2O are categorized as Data Science and Machine Learning Platforms, Predictive Analytics, and Generative AI Infrastructure
Unique Categories
Dataiku is categorized as Big Data Analytics, Analytics Platforms, MLOps Platforms, Machine Learning, AWS Marketplace, and Large Language Model Operationalization (LLMOps)
H2O is categorized as Artificial Neural Network
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
H2O
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
15.3%
Pharmaceuticals
8.0%
Retail
6.1%
Manufacturing
5.5%
Insurance
5.5%
Other
59.5%
Financial Services
13.6%
Retail
9.1%
Research
9.1%
Marketing and Advertising
9.1%
Information Technology and Services
9.1%
Other
50.0%
Most Helpful Reviews
Dataiku
Most Helpful Favorable Review
Verified User in Manufacturing
Dataiku is user friendly and easy to learn. You can combine lots of data resources into one simple platform. I frequently use this in data analytics at my company.
Most Helpful Critical Review
Jason F.
Verified User in Pharmaceuticals
As much as I appreciate how approachable and feature-rich Dataiku is, there are moments where its flexibility feels like a double-edged sword. Some use cases become surprisingly complex due to very recipe logic, and handling parameterized or reusable...
H2O
Most Helpful Favorable Review
Verified User in Oil & Energy
The web front end known as flow is really easy to use. It can be use to quickly create machine learning models.
Most Helpful Critical Review
Laurry P.
Verified User in Computer Networking
Certain bugs and slowdowns that are very annoying
Verified User in Manufacturing
Dataiku is user friendly and easy to learn. You can combine lots of data resources into one simple platform. I frequently use this in data analytics at my company.
Verified User in Oil & Energy
The web front end known as flow is really easy to use. It can be use to quickly create machine learning models.
Jason F.
Verified User in Pharmaceuticals
As much as I appreciate how approachable and feature-rich Dataiku is, there are moments where its flexibility feels like a double-edged sword. Some use cases become surprisingly complex due to very recipe logic, and handling parameterized or reusable...
Laurry P.
Verified User in Computer Networking
Certain bugs and slowdowns that are very annoying
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
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
How does Dataiku compare to competing products?
1 comment
Official Response from Dataiku
The best choice usually depends on your setup, needs, and use cases; that said, many of our customers switched to Dataiku because of the depth of our...Read more
H2O has no discussions with answers
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