YData Fabric

JSON twin: https://www.healthaidb.com/software/ydata-fabric.json

Company Name

YData

Product URL

https://ydata.ai

Company URL

https://ydata.ai

Categories

• ai Clinical Documentation Integrity
• data Quality Management
• health Data Analytics
• clinical Data Collection
• clinical Decision Support
• healthcare Platform
• data Privacy
• data Integration
• governance Risk And Compliance
• Data-centric Ai
• Data Quality
• Synthetic Data
• Data Preparation
• Machine Learning
• Healthcare
• Data Sharing
• Bias Mitigation
• Data Profiling

Summary

YData Fabric is a data-centric AI platform that enhances data quality and accelerates AI development through automated data profiling and synthetic data generation.

Description

YData Fabric is a comprehensive data development platform designed to improve data quality and streamline AI solution delivery. It offers automated data profiling, synthetic data generation, and scalable data pipelines, enabling data scientists to efficiently manage and prepare data for machine learning applications. The platform is available on cloud marketplaces like AWS and Azure, and can also be deployed on-premises. YData Fabric is particularly beneficial for healthcare organizations seeking to enhance data sharing, mitigate biases, and comply with privacy regulations. It supports various data types, including tabular, time-series, text, and multi-table data, and integrates seamlessly with tools like Databricks and popular IDEs such as Jupyter Lab and Visual Studio Code. The platform is available in a community version with a 15-day free trial, and offers flexible pricing models for enterprise deployments.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO 9001
• ISO 14001
• ISO 45001
• ISO 50001
• ISO 22000
• ISO 13485
• ISO 27001

Company Founding

2019

Company Offices

• United States
• Portugal
• United Kingdom
• Germany
• France
• Brazil
• India
• Australia
• Canada
• South Africa

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001
• ISO 27018
• ISO 27032
• ISO 27035
• ISO 27037
• ISO 27040

Customers

• EDP Distribuição
• Paul Horn ex-SVP & CTO at a leading AI company

Data Residency

AWS, Azure, Google Cloud Platform, Kubernetes, Jupyter Labs, VS Code

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10
• HL7 CDA
• HL7 CCD
• HL7 CCD-A
• HL7 CCD-C
• HL7 CCD-D

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Automated data profiling
• Synthetic data generation
• Data catalog
• Data pipelines
• Data cleaning
• Data augmentation
• Data selection
• Collaborative environment
• Jupyter Labs integration
• VS Code integration
• Experiment tracking
• Scalable connectors
• Data visualization
• Data transformation
• Data validation
• Data monitoring
• Data versioning
• Data sharing
• Data governance

Id

SW2514

Integration Partners

• Azure Marketplace
• AWS Marketplace

Integrations

• Databricks
• AWS
• Azure
• Google Cloud Platform
• Kubernetes
• Jupyter Labs
• VS Code
• AWS Marketplace
• Azure Marketplace
• NayaOne Marketplace

Languages Supported

• English
• Portuguese
• Spanish
• French
• German
• Italian
• Dutch
• Swedish
• Norwegian
• Danish
• Finnish
• Chinese
• Japanese
• Korean
• Hindi
• Arabic
• Russian
• Turkish
• Polish
• Czech

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• Advanced analytics
• Model training
• Model evaluation
• Model deployment
• Model monitoring
• Data lineage
• Data masking
• Data anonymization
• Data encryption
• Data access control

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS
• Linux

Pricing Details

Community version: free; Enterprise version: contact vendor for pricing

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization
• Data sharing
• Data governance
• Data access control
• Data encryption
• Data masking
• Data monitoring

Product Code

SW2514

Product Name

YData Fabric

Ratings

• 5/5 on G2 by Archita G., Data Science Industry Expert
• 5/5 on G2 by Viren S., Relationship Manager

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• India
• Brazil
• South Africa
• Japan
• South Korea
• China
• Mexico
• Italy
• Spain
• Netherlands
• Sweden
• Norway
• Denmark
• Finland

Related Urls

• https://elion.health/products/ydata

Release Year

2023

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA
• DLP
• Access control
• Data masking
• Data anonymization
• Data monitoring

Specialties

• Healthcare Data Management
• Synthetic Data Generation
• Data Profiling
• Data Preparation
• Ai Model Development
• Data Privacy Compliance
• Bias Mitigation In Data
• Data Sharing In Healthcare
• Data-centric Ai Applications
• Data Pipeline Orchestration

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

AWS, Azure, Google Cloud Platform, Kubernetes, Jupyter Labs, VS Code

Target Users

• data scientists
• machine learning engineers
• healthcare data analysts
• AI developers
• data engineers
• researchers
• healthcare IT professionals

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• YData helps us create better datasets for AI, making our work faster and more efficient. Data quality checks and synthetic data facilitate AI adoption. YData Fabric allows us to quickly understand, manage, and access data, with secure access to synthetic data and scalable workflows. Easy to use and customer support is excellent.
• The easy-to-implement SDK provided for data profiling makes it extremely useful for data scientists and analysts to discover insights from structured data.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "YData Fabric",
  "company_name": "YData",
  "product_url": "https://ydata.ai",
  "company_url": "https://ydata.ai",
  "related_urls": [
    "https://elion.health/products/ydata"
  ],
  "product_code": "SW2514",
  "summary": "YData Fabric is a data-centric AI platform that enhances data quality and accelerates AI development through automated data profiling and synthetic data generation.",
  "description": "YData Fabric is a comprehensive data development platform designed to improve data quality and streamline AI solution delivery. It offers automated data profiling, synthetic data generation, and scalable data pipelines, enabling data scientists to efficiently manage and prepare data for machine learning applications. The platform is available on cloud marketplaces like AWS and Azure, and can also be deployed on-premises. YData Fabric is particularly beneficial for healthcare organizations seeking to enhance data sharing, mitigate biases, and comply with privacy regulations. It supports various data types, including tabular, time-series, text, and multi-table data, and integrates seamlessly with tools like Databricks and popular IDEs such as Jupyter Lab and Visual Studio Code. The platform is available in a community version with a 15-day free trial, and offers flexible pricing models for enterprise deployments.",
  "categories": [
    "ai Clinical Documentation Integrity",
    "data Quality Management",
    "health Data Analytics",
    "clinical Data Collection",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "healthcare Platform",
    "data Privacy",
    "data Integration",
    "governance Risk And Compliance",
    "Data-centric Ai",
    "Data Quality",
    "Synthetic Data",
    "Data Preparation",
    "Machine Learning",
    "Healthcare",
    "Data Privacy",
    "Data Sharing",
    "Bias Mitigation",
    "Data Profiling"
  ],
  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "data scientists",
    "machine learning engineers",
    "healthcare data analysts",
    "AI developers",
    "data engineers",
    "researchers",
    "healthcare IT professionals"
  ],
  "specialties": [
    "Healthcare Data Management",
    "Synthetic Data Generation",
    "Data Profiling",
    "Data Preparation",
    "Ai Model Development",
    "Data Privacy Compliance",
    "Bias Mitigation In Data",
    "Data Sharing In Healthcare",
    "Data-centric Ai Applications",
    "Data Pipeline Orchestration"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "India",
    "Brazil",
    "South Africa",
    "Japan",
    "South Korea",
    "China",
    "Mexico",
    "Italy",
    "Spain",
    "Netherlands",
    "Sweden",
    "Norway",
    "Denmark",
    "Finland"
  ],
  "languages_supported": [
    "English",
    "Portuguese",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Dutch",
    "Swedish",
    "Norwegian",
    "Danish",
    "Finnish",
    "Chinese",
    "Japanese",
    "Korean",
    "Hindi",
    "Arabic",
    "Russian",
    "Turkish",
    "Polish",
    "Czech"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Community version: free; Enterprise version: contact vendor for pricing",
  "license": "commercial",
  "company_offices": [
    "United States",
    "Portugal",
    "United Kingdom",
    "Germany",
    "France",
    "Brazil",
    "India",
    "Australia",
    "Canada",
    "South Africa"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Automated data profiling",
    "Synthetic data generation",
    "Data catalog",
    "Data pipelines",
    "Data cleaning",
    "Data augmentation",
    "Data selection",
    "Collaborative environment",
    "Jupyter Labs integration",
    "VS Code integration",
    "Experiment tracking",
    "Scalable connectors",
    "Data visualization",
    "Data transformation",
    "Data validation",
    "Data monitoring",
    "Data versioning",
    "Data sharing",
    "Data governance"
  ],
  "optional_modules": [
    "Advanced analytics",
    "Model training",
    "Model evaluation",
    "Model deployment",
    "Model monitoring",
    "Data lineage",
    "Data masking",
    "Data anonymization",
    "Data encryption",
    "Data access control"
  ],
  "integrations": [
    "Databricks",
    "AWS",
    "Azure",
    "Google Cloud Platform",
    "Kubernetes",
    "Jupyter Labs",
    "VS Code",
    "AWS Marketplace",
    "Azure Marketplace",
    "NayaOne Marketplace"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10",
    "HL7 CDA",
    "HL7 CCD",
    "HL7 CCD-A",
    "HL7 CCD-C",
    "HL7 CCD-D"
  ],
  "api_available": "yes",
  "system_requirements": "AWS, Azure, Google Cloud Platform, Kubernetes, Jupyter Labs, VS Code",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001",
    "ISO 27018",
    "ISO 27032",
    "ISO 27035",
    "ISO 27037",
    "ISO 27040"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 9001",
    "ISO 14001",
    "ISO 45001",
    "ISO 50001",
    "ISO 22000",
    "ISO 13485",
    "ISO 27001"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA",
    "DLP",
    "Access control",
    "Data masking",
    "Data anonymization",
    "Data monitoring"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization",
    "Data sharing",
    "Data governance",
    "Data access control",
    "Data encryption",
    "Data masking",
    "Data monitoring"
  ],
  "data_residency": "AWS, Azure, Google Cloud Platform, Kubernetes, Jupyter Labs, VS Code",
  "customers": [
    "EDP Distribuição",
    "Paul Horn ex-SVP & CTO at a leading AI company"
  ],
  "user_reviews": [
    "YData helps us create better datasets for AI, making our work faster and more efficient. Data quality checks and synthetic data facilitate AI adoption. YData Fabric allows us to quickly understand, manage, and access data, with secure access to synthetic data and scalable workflows. Easy to use and customer support is excellent.",
    "The easy-to-implement SDK provided for data profiling makes it extremely useful for data scientists and analysts to discover insights from structured data."
  ],
  "ratings": [
    "5/5 on G2 by Archita G., Data Science Industry Expert",
    "5/5 on G2 by Viren S., Relationship Manager"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2023",
  "integration_partners": [
    "Azure Marketplace",
    "AWS Marketplace"
  ],
  "id": "SW2514",
  "slug": "ydata-fabric",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/ydata-fabric.json"
  }
}