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About

DemoDataWorks provides realistic, industry-specific demo databases and BI starter packs for analytics, demonstrations, training, consulting, and development. Choose from 10 ready-made industry packs or use the configurable Generator to create deterministic relational demo data at different scales. Supported outputs include CSV, DuckDB, SQLite, Parquet, PostgreSQL, and SQL Server, with Power BI starter content.

About

Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

BI professionals, data analysts, consultants, trainers, developers, and technical teams looking for realistic industry-specific demo databases and configurable relational data for analytics, Power BI, demonstrations, training, prototyping, and development.

Audience

Data scientists requiring a solution to manage their structured data

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$14.99/download
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • It works, while others don't. YData Fabric is easy to use and always deliver good results. The whole feature set helps create better training datasets.

Cons

  • Free version has limitations, I wish I could use it for free forever.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

DemoDataWorks
Founded: 2026
Canada
demodataworks.com

Company Information

YData
United States
ydata.ai/

Alternatives

Alternatives

QStudio

QStudio

TimeStored
MakerSuite

MakerSuite

Google
Windocks

Windocks

LangGrant

Categories

Categories

Integrations

Amazon S3 Not Supported
Amazon Web Services (AWS) Not Supported
Azure Marketplace Not Supported
Kubernetes Not Supported
Microsoft Azure Not Supported
MySQL Not Supported
PostgreSQL Not Supported
SQL Not Supported
VMware Cloud Not Supported

Integrations

Amazon S3 Supported
Amazon Web Services (AWS) Supported
Azure Marketplace Supported
Kubernetes Supported
Microsoft Azure Supported
MySQL Supported
PostgreSQL Supported
SQL Supported
VMware Cloud Supported
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