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Compare Dataiku and Domino Enterprise AI Platform 
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At a Glance
Market Segments
Enterprise (62.6% of reviews)
Enterprise (48.1% of reviews)
Entry-Level Pricing
Free 3 Users
No pricing available
Dataiku
Star Rating
(183)4.4 out of 5
Market Segments
Enterprise (62.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansDomino Enterprise AI Platform
Star Rating
(28)4.3 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Domino Enterprise AI PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in overall user satisfaction, reflected in its significantly higher G2 Score compared to Domino Enterprise AI Platform. Users appreciate the platform's intuitive graphical user interface, which simplifies managing code and datasets visually, making it a favorite for those looking to quickly prototype and launch their projects.
- According to verified reviews, Dataiku's ease of use is a standout feature, with users highlighting how the platform allows for rapid development and integration of AI into their tech environments. This contrasts with Domino, where while users find the interface user-friendly, it doesn't quite match the seamless experience offered by Dataiku.
- Users say that Dataiku's implementation process is notably quick and straightforward, with many praising the intuitive onboarding wizard. In comparison, while Domino Enterprise AI Platform is flexible in connecting to multiple cloud providers, some users have mentioned that its setup can be less straightforward.
- Reviewers mention that Dataiku's support quality is highly rated, with a score that reflects its responsiveness and helpfulness. Users have expressed satisfaction with the support they receive, whereas Domino's support, while still good, does not reach the same level of acclaim.
- Users highlight Dataiku's strong capabilities in model training and deployment, which are crucial for data science projects. They appreciate features that allow for quick iterations and testing. On the other hand, while Domino also offers robust model training features, some users feel that the overall experience is not as fluid as that of Dataiku.
- According to recent feedback, Dataiku's scalability is a significant advantage, with users noting that it can handle growing data needs effectively. In contrast, while Domino also performs well in scalability, some users have indicated that it may not be as responsive to rapid scaling demands as Dataiku.
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
Domino Enterprise AI Platform
No pricing availableFree Trial
Dataiku
Free Trial is available
Domino Enterprise AI Platform
Free Trial is available
Ratings
Meets Requirements
8.7
167
8.4
22
Ease of Use
8.7
166
8.4
22
Ease of Setup
8.1
128
7.8
9
Ease of Admin
8.0
60
8.1
6
Quality of Support
8.5
152
8.1
20
Has the product been a good partner in doing business?
8.6
60
8.6
6
Product Direction (% positive)
9.0
163
9.0
23
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
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Not enough data
Deployment
8.1
15
8.6
7
8.7
15
8.3
7
8.6
15
7.1
7
8.9
15
6.4
7
9.0
15
8.1
7
Deployment
7.8
12
9.0
7
8.5
13
8.6
7
8.5
13
8.6
7
8.8
13
8.1
7
8.8
13
8.8
7
Management
7.6
13
7.8
6
8.5
13
8.6
6
8.3
13
8.9
6
7.8
13
8.6
7
Operations
8.5
13
8.6
6
8.3
13
8.3
6
8.8
13
8.6
6
Management
7.5
12
8.6
6
8.5
13
9.3
5
7.9
13
8.3
6
Generative AI
8.3
6
Not enough data
8.3
6
Not enough data
System
8.6
75
8.1
15
Model Development
8.4
78
8.5
17
8.8
77
Feature Not Available
8.6
78
8.1
17
8.5
77
8.6
17
Model Development
8.5
77
8.2
14
Machine/Deep Learning Services
8.0
74
8.4
16
8.1
74
8.7
17
7.9
73
8.3
16
7.9
72
8.3
17
Machine/Deep Learning Services
7.7
68
8.2
14
7.9
69
8.2
14
Deployment
8.1
74
8.2
17
8.2
77
8.6
17
8.3
76
8.1
17
Generative AI
8.1
60
7.6
7
8.0
60
7.6
7
7.7
59
7.6
7
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
7.8
16
Not enough data
7.5
16
Not enough data
7.4
14
Not enough data
Cost and Efficiency - Generative AI Infrastructure
6.9
15
Not enough data
6.9
7
Not enough data
7.6
7
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.1
15
Not enough data
7.1
14
Not enough data
7.0
14
Not enough data
Security and Compliance - Generative AI Infrastructure
7.0
14
Not enough data
7.0
14
Not enough data
7.4
14
Not enough data
Usability and Support - Generative AI Infrastructure
7.0
15
Not enough data
6.7
14
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
Building Reports
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
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 Domino Enterprise AI Platform are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Domino Enterprise AI Platform has no unique categories
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Domino Enterprise AI Platform
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
15.2%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.3%
Insurance
5.3%
Other
60.8%
Computer Software
25.9%
Information Technology and Services
18.5%
Consulting
7.4%
Retail
7.4%
Insurance
7.4%
Other
33.3%
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
Dominoes Integration
1 Comment
Official Response from Domino Enterprise AI Platform
Absolutely – please visit https://docs.dominodatalab.com/en/latest/api_guide/f35c19/api-guide/Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
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