Metadata and how to capture it

This page summarizes the projects mentioned and recommended in the original post on /r/dataengineering

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  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • datahub

    The Metadata Platform for your Data Stack

  • Metadata Engine: - Datahub https://github.com/linkedin/datahub - Amundsen https://github.com/amundsen-io/amundsen/ - Marquez https://marquezproject.github.io/ - Egeria - Open Metadata and Governance https://egeria.odpi.org

  • amundsen

    Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

  • Metadata Engine: - Datahub https://github.com/linkedin/datahub - Amundsen https://github.com/amundsen-io/amundsen/ - Marquez https://marquezproject.github.io/ - Egeria - Open Metadata and Governance https://egeria.odpi.org

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • OpenLineage

    An Open Standard for lineage metadata collection

  • Data Lineage Specification: - OpenLineage https://github.com/OpenLineage/OpenLineage

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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