Dataiku vs Daiki Detailed comparison features, price

Dataiku

Dataiku is a comprehensive AI platform that brings together people, data, technology, and governance in one unified environment. The platform offers end-to-end capabilities for data preparation, machine learning, and AI development, allowing organizations to build and deploy AI solutions efficiently.

The platform combines visual interfaces with coding capabilities, supporting both citizen data scientists and technical experts. It features advanced tools for generative AI, automated machine learning, data preparation, and robust governance controls, enabling enterprises to scale their AI initiatives while maintaining security and compliance.

Daiki

Daiki provides a comprehensive AI governance platform designed to help organizations manage AI risks and ensure compliance. The SaaS solution facilitates the development, monitoring, and deployment of AI in a responsible manner, streamlining efforts and improving operational efficiency. The platform promotes trustworthy AI implementation and aids in navigating regulatory changes across various industries and applications.

Pricing

Dataiku Pricing

Freemium

Dataiku offers Freemium pricing .

Daiki Pricing

Contact for Pricing

Daiki offers Contact for Pricing pricing .

Features

Dataiku

Generative AI: Enterprise-scale GenAI application development with pre-built use cases
Visual Data Preparation: Interactive visual interface for data cleansing and preparation
AutoML Capabilities: Automated machine learning with guided frameworks
AI Governance: Centralized controls for maintaining AI standards and compliance
XOps Management: Unified platform for AI portfolio operations
Data Insights: Self-service analytics for business decision-making
Collaboration Tools: Enterprise-wide collaboration features for teams

Daiki

AI Registry: Centralized hub for managing AI risks and ensuring compliance visibility.
Responsible AI Development: Built by a multidisciplinary team with expertise in legal, ethical, design, and machine learning.
Regulatory Compliance: Ensures adherence to regulations and industry standards like EU AI Act, ISO 13485, ISO 27001, and ISO 42001.
AI Use Case Discovery: Infrastructure for identifying and implementing AI use cases.
Integrations: Seamlessly integrates with existing tools to support the AI lifecycle.
Secure AI Tech: Offers trusted and regulatory-compliant tech stacks, including secure, private LLMs and RAG systems.

Use Cases

Dataiku Use Cases

Banking risk management and customer analytics
Manufacturing quality control and forecasting
Healthcare and pharmaceutical research optimization
Retail customer experience personalization
Supply chain and logistics optimization
Marketing campaign analytics
Financial reporting automation
Insurance claims processing

Daiki Use Cases

Streamlining AI development for technical and product teams.
Ensuring AI compliance for compliance and legal teams.
Driving strategic AI initiatives for management teams.
Managing AI risks across an entire organization.

FAQs

Dataiku FAQs

What deployment options are available for Dataiku?

Dataiku offers both cloud-hosted and self-hosted deployment options, allowing organizations to choose based on their infrastructure requirements.
How many users can collaborate in the free edition?

The free edition of Dataiku allows collaboration between up to 3 users.
What programming languages are supported?

Dataiku supports multiple programming languages including Python and R for data preparation and machine learning tasks.

Daiki FAQs

What is AI Literacy?

AI literacy is emerging as a new key skill in the AI age, crucial for understanding and complying with regulations like the EU AI Act.