Transform Unstructured Data into Actionable Insights

Improve search capabilities across all data sources

Enhance analytics, data lakes, and AI with rich, contextualized data

Reduce storage costs and data preparation times

Accelerate workflows

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MetadataHub is a data intelligence platform that empowers organizations to derive actionable insights and make data-driven decisions by leveraging the untapped potential of unstructured data. By transforming unstructured data into structured, searchable data sets, MetadataHub enables CIOs, CDOs, data scientists, and data and storage administrators to:

  1. Enable Advanced Analytics: Facilitate the use of unstructured data in advanced analytics, AI, and machine learning initiatives by making metadata easily accessible, unlocking valuable insights that drive innovation and competitive advantage.
  2. Improve Data Accessibility: Make unstructured data easily accessible and usable for various business functions, promoting data democratization and fostering a data-driven culture.
  3. Drive Operational Efficiency: Streamline data management processes, reduce manual efforts, and minimize data silos, leading to increased efficiency and productivity across the organization.
  4. Enhance Data Governance: Gain complete visibility and control over unstructured data assets across the organization, ensuring compliance with data governance policies and regulations.
  5. Support Strategic Decision-Making: Provide executives with a comprehensive view of the organization’s data landscape, enabling informed decision-making and strategic planning based on data-driven insights.


MetadataHub’s unique approach lies in its ability to extract and harness embedded metadata from unstructured data across various storage systems (SMB, NFS, S3). By creating a unified Decentralized Contextual Metadata Platform (DCMP), MetadataHub serves as a central hub for metadata, allowing seamless integration with existing data management, analytics, and reporting tools. This ultimately enables the organization to maximize the value of its unstructured data assets, optimize data storage, and drive business success.

How does it work?

  • Connect: MetadataHub integrates with your storage systems via SMB, NFS, and S3, accessing and interpreting any file type.
  • Harvest: Our unique harvesters open and extract valuable metadata from your files, including all embedded metadata.
  • Query: The harvested metadata is transformed into a structured, searchable format.
  • Provision: Easily provision the structured metadata to your preferred analytics, AI, reporting, and data tools through our APIs, CLI, and SDKs.
  • Manage: The user-friendly MetadataHub Web UI empowers you to effortlessly review, search, and manage your metadata, enabling you to unlock valuable insights and make data-driven decisions with ease.

Reduce data preparation time by over 95%

MetadataHub is a unified platform to understand, discover, and contextualize all the metadata within the organization’s unstructured data assets, providing a 360-degree perspective for more informed decision-making. This comprehensive metadata view empowers users to achieve a holistic perspective of the data landscape across the entire organization. It ensures quick access to relevant information, transparency into unstructured data and data silos, and caters to specific analytical and operational needs.

Data Scientists and Analysts

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Researchers and Scientists

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Data Managers and Curators

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Business and Decision-makers

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What do customers say...

"MetadataHub includes everything that I could think of."
Dr. Kai Ludwig
Research Center for Electron Microscopy,
Institute for Chemistry and Biochemistry
Free University of Berlin
"We were thrilled from the start with the functionality of MetadataHub"
Carsten Schauble
Head of IT - ZUSE Institute Berlin

What do customers say...

"MetadataHub includes everything that I could think of."
Dr. Kai Ludwig
Research Center for Electron Microscopy,
Institute for Chemistry and Biochemistry
Free University of Berlin
"We were thrilled from the start with the functionality of MetadataHub"
Carsten Schauble
Head of IT - ZUSE Institute Berlin

Automate Workflows and Provision Data Pipelines

Embedded metadata, the richly detailed information encoded directly within files, serves as the cornerstone for AI, analytics, and reporting. Embedded metadata offers a deep dive into the file’s content, context, and origins, providing essential insights required for advanced computational processes. For AI algorithms and analytical models, embedded metadata provides the contextual detail necessary to interpret and analyze data with high precision, enabling more accurate predictions, classifications, and insights. 

Integrate with data-driven applications via GraphQL API, Python SDK, and CLI.

Automate Workflows and Provision Data Pipelines

Embedded metadata, the richly detailed information encoded directly within files, serves as the cornerstone for AI, analytics, and reporting. Embedded metadata offers a deep dive into the file’s content, context, and origins, providing essential insights required for advanced computational processes. For AI algorithms and analytical models, embedded metadata provides the contextual detail necessary to interpret and analyze data with high precision, enabling more accurate predictions, classifications, and insights. 

Integrate with data-driven applications via GraphQL API, Python SDK, and CLI.

MetadataHub ensures data complies with the FAIR
(Findable, Accessible, Interoperable, and Reusable) principles.

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