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What is Yorph AI?

Yorph AI functions as a comprehensive data platform that enhances analytics engineering by creating organized and efficient data pipelines, ensuring that metrics stay consistent amidst data fluctuations, and allowing business users, including product managers, to easily access and analyze data through intuitive visual tools. Additionally, by prioritizing security from the onset, Yorph enables teams to confidently automate their analytics tasks while upholding standards of data privacy, governance, and integrity. This combination of user-friendly access and stringent security measures establishes Yorph as an indispensable asset for organizations aiming to improve their data-driven decision-making processes. As businesses increasingly rely on data insights, the importance of a platform like Yorph becomes even more pronounced.

What is Dataiku?

Dataiku is an advanced enterprise AI platform that enables organizations to transition from disconnected AI initiatives to a unified, scalable, and governed AI ecosystem. It integrates people, data, and technology into a single collaborative environment where both business users and data experts can contribute to AI development. The platform supports the full lifecycle of AI projects, including data preparation, model building, deployment, and ongoing monitoring. Through powerful orchestration, Dataiku connects data pipelines, applications, and machine learning models to create seamless, automated workflows. Its governance framework ensures that all AI activities are transparent, compliant, and aligned with organizational standards, while also managing cost and risk effectively. Users can build and deploy AI agents grounded in real business data, enabling more accurate and impactful outcomes. The platform helps organizations replace manual processes and spreadsheets with intelligent, AI-driven analytics systems. It also facilitates the reuse and scaling of machine learning models across teams, breaking down silos and improving collaboration. Dataiku supports analytics modernization without disrupting existing systems, allowing companies to evolve at their own pace. With adoption across industries like healthcare, finance, and manufacturing, it has demonstrated measurable benefits such as time savings and revenue generation. Its flexible architecture allows enterprises to adapt quickly to changing business needs and emerging AI trends. Ultimately, Dataiku empowers organizations to operationalize AI at scale and drive sustained business value through intelligent decision-making.

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Integrations Supported

Integrations Supported

AWS Marketplace
Amazon Web Services (AWS)
Apache Spark
Control-M
Cranium
HPE Ezmeral
HubSpot CRM
HubSpot Customer Platform
Hugging Face
Keras
LinkedIn
Microsoft Azure
Modulos AI Governance Platform
OpenAI
RTILA
Snowflake Cortex AI
Tableau
Taipy
Toucan
UiPath

API Availability

API Availability

Has API

Pricing Information

$29.99/month
Free Version

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Yorph AI

Date Founded

2025

Company Location

United States

Company Website

yorph.ai/

Company Facts

Organization Name

Dataiku

Date Founded

2013

Company Location

France

Company Website

www.dataiku.com

Categories and Features

AI Data Analytics

Not specified

Categories and Features

Agentic AI

Not specified

AI Data Analytics

Not specified

AI Gateways

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

AI Orchestration

Not specified

Anomaly Detection

Not specified

Artificial Intelligence

For Healthcare
For Sales
For eCommerce
Predictive Analytics
Process/Workflow Automation

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics

Data Management

Not specified

Data Preparation

Not specified

Data Science

Not specified

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

ML Model Deployment

Not specified

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