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Compare Dataiku and The Ikigai platform 
Featured Products
At a Glance
Market Segments
Enterprise (62.2% of reviews)
Small-Business (62.5% of reviews)
Entry-Level Pricing
Free 3 Users
Free Trial 1 License Per Month
Dataiku
Star Rating
(186)4.4 out of 5
Market Segments
Enterprise (62.2% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansThe Ikigai platform
Star Rating
(16)4.6 out of 5
Market Segments
Small-Business (62.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free Trial 1 License Per Month
Learn more about The Ikigai platformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in providing a comprehensive platform for AI integration, with users appreciating its graphical user interface that simplifies managing code and datasets visually. This feature is particularly beneficial for teams looking to prototype quickly and efficiently.
- Users say that The Ikigai platform stands out for its user-friendly, drag-and-drop interface, making it accessible for non-coders. Reviewers highlight how easy it is to leverage AI capabilities without extensive technical knowledge, which can be a game-changer for small businesses.
- According to verified reviews, Dataiku has a strong reputation for its overall quality, reflected in its higher G2 Score. Users commend its ability to handle complex data tasks, although some mention that it may require a steeper learning curve compared to simpler tools.
- Reviewers mention that The Ikigai platform shines in customer support, with many users praising the quick and effective assistance from the support team. This responsiveness can significantly enhance the user experience, especially for those encountering challenges during implementation.
- G2 reviewers highlight that while Dataiku offers robust features for data governance and modeling, some users feel that the platform could improve in terms of ease of setup. In contrast, The Ikigai platform is noted for its straightforward onboarding process, making it easier for new users to get started.
- Users report that Dataiku's extensive capabilities are well-suited for enterprise-level needs, but The Ikigai platform's focus on small businesses allows it to cater effectively to users looking for a more tailored experience. This distinction can influence the choice depending on the size and requirements of the organization.
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
The Ikigai platform
Ikigai Platform
Free Trial
1 License Per Month
- Pre-built integrations
- Interactive dashboards
- Predictive analytics / time series forecasting
Free Trial
Dataiku
Free Trial is available
The Ikigai platform
Free Trial is available
Ratings
Meets Requirements
8.7
168
8.8
11
Ease of Use
8.8
167
9.0
12
Ease of Setup
8.1
129
Not enough data
Ease of Admin
8.0
60
Not enough data
Quality of Support
8.6
153
9.7
10
Has the product been a good partner in doing business?
8.6
60
Not enough data
Product Direction (% positive)
9.0
164
10.0
10
Features by Category
Reports
7.8
76
9.6
8
7.7
75
8.9
9
7.5
76
9.6
9
7.5
74
9.5
7
7.6
76
9.4
9
Data Preparation
8.7
65
9.1
9
8.2
63
9.0
8
Data Modeling and Blending
8.6
62
9.0
8
8.6
62
9.3
9
8.7
62
9.4
9
Generative AI
7.9
50
9.5
7
8.0
50
9.4
6
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
9.5
7
8.6
74
9.8
9
8.4
74
8.9
9
7.9
74
8.1
9
8.7
74
9.1
9
8.1
74
8.9
9
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
9.4
9
7.8
75
9.1
9
8.0
74
9.4
8
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
9.2
8
8.6
88
9.4
8
7.7
85
9.4
6
8.1
89
9.7
6
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
Not enough data
Model Development
8.4
78
Not enough data
8.8
77
Not enough data
8.6
78
Not enough data
8.5
77
Not enough data
Model Development
8.5
77
Not enough data
Machine/Deep Learning Services
8.0
74
Not enough data
8.1
74
Not enough data
7.9
73
Not enough data
7.9
72
Not enough data
Machine/Deep Learning Services
7.7
68
Not enough data
7.9
69
Not enough data
Deployment
8.1
74
Not enough data
8.2
77
Not enough data
8.3
76
Not enough data
Generative AI
8.1
60
Not enough data
8.0
60
Not enough data
7.7
59
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
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
7.9
17
Not enough data
7.6
17
Not enough data
7.6
15
Not enough data
Cost and Efficiency - Generative AI Infrastructure
7.1
16
Not enough data
7.3
8
Not enough data
7.9
8
Not enough data
Integration and Extensibility - Generative AI Infrastructure
7.3
16
Not enough data
7.3
15
Not enough data
7.2
15
Not enough data
Security and Compliance - Generative AI Infrastructure
7.2
15
Not enough data
7.2
15
Not enough data
7.6
15
Not enough data
Usability and Support - Generative AI Infrastructure
7.2
16
Not enough data
6.9
15
Not enough data
Reconciliation - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Audit - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
User Permissions and Security - Financial Reconciliation
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 - Financial Reconciliation
Not enough data
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
Agentic AI - Accounting & Finance
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
9.2
8
8.6
88
9.4
8
7.7
85
9.4
6
8.1
89
9.7
6
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 The Ikigai platform are categorized as Analytics Platforms
Unique Categories
Dataiku is categorized as Low-Code Machine Learning Platforms, AI Orchestration, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Big Data Analytics, Data Science and Machine Learning Platforms, Machine Learning, Predictive Analytics, and AI Agents For Business Operations
The Ikigai platform is categorized as Time Series Intelligence and Financial Reconciliation
Reviews
Reviewers' Company Size
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
The Ikigai 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
15.1%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.2%
Insurance
5.2%
Other
61.0%
Marketing and Advertising
12.5%
Utilities
6.3%
Sports
6.3%
Retail
6.3%
Renewables & Environment
6.3%
Other
62.5%
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
The Ikigai platform has no discussions with answers
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