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Open Data Discovery

OpenDataDiscovery (ODD) is an open-source platform that provides end-to-end data governance, including discovery, quality, glossary, lineage, modeling, security, and master data management. It enables automatic company-wide ingestion-to-product lineage, allowing teams to identify data issues in seconds and assess downstream impact. The platform integrates with any data quality tool and offers a free trial for users to explore its capabilities.

Palo Alto, United States · HQ
Founded 20215300+ followers
Updated 16 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations struggle to maintain trust in their data across the entire lifecycle, from ingestion to production. Data issues often go undetected until they impact downstream stakeholders, leading to time-consuming root-cause investigations and eroded confidence in data-driven decisions. Fragmented tooling for data discovery, quality, lineage, and governance creates silos that hinder comprehensive data management.

Solution

OpenDataDiscovery (ODD) provides a unified, open-source platform that consolidates data governance functions—discovery, quality, glossary, lineage, modeling, security, and master data management—into a single solution. The platform automatically generates company-wide ingestion-to-product lineage, enabling teams to trace data flow and identify the root cause of issues in seconds. ODD integrates with existing data quality tools, allowing organizations to add automated testing and receive alerts powered by quality information. By democratizing data access and providing end-to-end observability, ODD helps teams build trust in their data and accelerate insights across the organization.

Target Audience

Primary users are data engineering, data governance, and analytics teams within organizations that need end-to-end data observability and governance across complex data ecosystems.

Features

  • Automatic company-wide ingestion-to-product lineage for rapid root-cause analysis and impact assessment
  • Integrated data quality assurance with support for third-party quality tools and automated testing
  • Comprehensive data governance modules including discovery, glossary, modeling, security, and master data management
  • Open-source architecture that allows organizations to build a custom tech stack while maintaining full control
  • Free trial version available for hands-on evaluation of the platform's capabilities
This profile is AI-generated and may contain inaccuracies.