1.0 Release 🎉

  • Stabilized and improved the Schemas and APIs.
  • The APIs are backward compatible.
  • Connecting to your data sources has never been easier. Find all the necessary permissions and connection details directly in the UI.
  • When testing the connection, we now have a comprehensive list of validations to let you know which pieces of metadata can be extracted with the provided configuration.
  • Performance improvements when extracting metadata from sources such as Snowflake, Redshift, Postgres, and dbt.
  • New Apache Impala connector.
  • Based on your feedback, we created a new service to extract metadata from your cloud storage.
  • The Data Lake connector ingested one table per file, which covered only some of the use cases in a Data Platform. With Storage Services, you can now present accurate metadata from your tables, even when partitioned.
  • The first implementation has been done on S3, and we will keep adding support for other sources in the upcoming releases.
  • Dashboard Services now support the concept of Data Models: data that can be directly defined and managed in the Dashboard tooling itself, e.g., LookML models in Looker.
  • Data Models will help us close the gap between engineering and business by providing all the necessary metadata from sources typically used and managed by analysts or business users.
  • The first implementation has been done for Tableau and Looker.
  • Improved UI for SQL Queries, with faster loading times and allowing users to vote for popular queries!
  • Users can now create and share a Query directly from the UI, linking it to multiple tables if needed.
  • In 1.0, we have added Localization support for OpenMetadata.
  • Now you can use OpenMetadata in English, French, Chinese, Japanese, Portuguese, and Spanish.
  • New and Improved Glossary UI
  • Easily search for Glossaries and any Glossary Term directly in the global search.
  • Instead of searching and tagging their assets individually, users can add Glossary Terms to multiple assets from the Glossary UI.
  • Implemented an automated way to tag PII data.
  • The auto-classification is an optional step of the Profiler workflow. We will analyze the column names, and if sample data is being ingested, we will run NLP models on top of it.
  • Improved Relevancy, with added support for partial matches.
  • Improved Ranking, with most used or higher Tier assets at the top of the search.
  • Support for Classifications and Glossaries in the global search.
  • SAML support has been added.
  • Added option to mask passwords in the API response except for the ingestion-bot by setting the environment variable MASK_PASSWORDS_API=true. More info here.
  • Deprecation Notice: SSO Service accounts for Bots will be deprecated. JWT authentication will be the preferred method for creating Bots.
  • Enhanced Lineage UI to display a large number of nodes (1000+).
  • Improved UI for better navigation.
  • Improved SQL parser to extract lineage in the Lineage Workflows.
  • All the metadata is at your fingertips while browsing Looker, Superset, etc., with the OpenMetadata Chrome Browser Extension.
  • Chrome extension supports Google SSO, Azure SSO, Okta, and AWS Cognito authentication.
  • You can Install the Chrome extension from Chrome Web Store.
  • The Explore page cards will now display a maximum of ten tags.
  • Entity names support apostrophes.
  • The Summary panel has been improved to be consistent across the UI.