YData

What is YData?

YData builds data-centric AI tools for teams that need better datasets before they train models. Its YData Fabric platform bundles a data catalog, automated data profiling, a Labs development environment, synthetic data generation, pipelines and an SDK, with more than 20 connectors. Fabric Community is described as a free SaaS version that lets one person run a personal project, create a catalog, and train and generate synthetic data. It is capped at 2 models and datasets of 50 columns and 100K rows. Paid Fabric tiers add database profiling, synthetic database generation and self-hosting on AWS and Azure, while Enterprise adds private cloud and on-premises deployment. A separate Python package has its own pricing: a free plan with a monthly credit, then pay-as-you-go at $1.00 per credit, where one credit covers 1 million data points or 10,000 tokens. Credits can be spent on profiling, synthetic data, question-answer pair generation and synthetic documents.

Use cases

• Profile datasets automatically
• Generate synthetic tabular data
• Generate synthetic databases
• Create synthetic documents
• Build question-answer pairs for training
• Track data quality in a catalog

Who it's for

• Data scientists
• ML engineers
• Data teams

Why use YData

• Profiling runs automatically, so data quality problems surface without hand-written analysis code.
• Synthetic records give teams a way to share or test with data that stands in for sensitive originals.
• A free tier for both the platform and the Python package makes it possible to try the tooling before paying.
• Credit-based pricing on the package means costs follow usage rather than seats.
• Enterprise deployments can run on a private cloud or on-premises.

YData features

• Automated data profiling and comparison profile reports
• Data catalog with automated profiling
• Synthetic data generation
• Synthetic database generation on paid tiers
• Labs development environment for ML packages
• Pipelines for repeatable data workflows
• 20+ connectors
• Fabric SDK and a Python package
• Evaluation PDF report for synthetic data quality
• Self-hosted deployment on AWS and Azure, or on-premises

YData integrations

• AWS
• Azure
• Kubernetes

How to get started with YData

1. Register for Fabric Community through the form on the YData site, or install the Python package.
2. Connect a data source using one of the connectors and add it to the data catalog.
3. Run automated profiling to check data quality and distributions.
4. Train a synthetic data generator on the source dataset and generate new records.
5. Review the evaluation report, then scale up through the pay-as-you-go or Enterprise tiers if needed.

YData limitations

• Fabric Community allows 1 personal project and 1 Labs environment
• Community tier limits synthetic data to 2 models, with 50 columns and 100K rows per dataset
• Pay-as-you-go Fabric is self-hosted, so AWS infrastructure costs are billed on top of usage
• Pay-as-you-go credits have a minimum transaction of 0.1 credits

YData pricing

Yes, YData has a free plan. Paid plans start at $1 usage-based, according to the official pricing page on 24 Oct 2026.

YData plans

• Fabric Community

  Free

  • 20+ connectors
  • Data Catalog
  • Automated Data Profiling
  • Labs
  • Synthetic Data Generation
  • Fabric SDK

• Fabric Pay-as-you-go

  Price on vendor site

  usage-based, self-hosted on AWS and Azure

  • Automated Database Profiling
  • Synthetic Database Generation
  • Pipelines
  • Unlimited concurrent users

• Fabric Enterprise

  Custom

  • Predictable pricing
  • Deploy on private cloud
  • Deploy on-premises

• Package Free plan

  Free

  includes a free monthly credit

  • 20+ connectors
  • Automated Data Profiling
  • Comparison Profile Reports
  • Synthetic Data Generation

• Package Pay-as-you-go

  $1.00/credit

  1 credit per 1 million data points or 10,000 tokens

  • All features available
  • Spend credits on profiling and synthetic data

• Package Enterprise

  Custom

  • All features available
  • Predictable pricing

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

YData alternatives

The main YData alternatives listed on Debuly are MOSTLY AI, Tonic.ai, PandasAI, CAMEL-AI, Databricks and Haystack. The table compares pricing and platforms; order is A–Z.

1. 

   CAMEL-AI

   Open-source Python framework for building multi-agent AI systems with agents, tools, memory and data generation.

   Developer platformsAutomation and agentsResearch and search
   Open sourceVisit CAMEL-AI (official site)
2. Da

   Databricks

   Data and AI platform for data engineering, warehousing, governance, dashboards and AI agents, billed by usage on AWS, Azure and GCP.

   Developer platformsAutomation and agentsProductivity
   Free trialVisit Databricks (official site)
3. 

   Haystack

   Open-source Python framework from deepset for building RAG pipelines, AI agents and multimodal apps from modular components.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Haystack (official site)
4. 

   MOSTLY AI

   Synthetic data platform that trains generative models on your tables and produces privacy-safe datasets for testing, analytics and ML.

   Developer platformsProductivityCoding
   FreemiumVisit MOSTLY AI (official site)
5. 

   PandasAI

   Ask questions of your data in plain language and get charts and answers, as an open source Python library and a hosted analyst called Annie.

   Developer platformsProductivityResearch and search
   FreemiumVisit PandasAI (official site)
6. 

   Tonic.ai

   Synthetic data and test data platform: Fabricate, Structural and Textual for generating and de-identifying data.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Tonic.ai (official site)

YData FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from ydata.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.