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Connectors

Fahras ingests metadata through a rich set of connectors, so schemas and metadata are collected automatically from the sources you inventory — no manual cataloging required.

Source categories​

From the Services screen you can set up connectors and ingest metadata from diverse sources:

  • Databases — relational and NoSQL database services
  • Messaging — messaging and streaming services
  • Dashboards — dashboarding and BI services
  • Pipelines — data pipeline services
  • ML Models — machine-learning model services
  • Storages — storage services
  • Search — search services
  • Metadata — metadata services added directly from the UI

Metadata ingestion connectors

Connecting to a database​

Databases are among the most common sources. Fahras ships connectors for the most popular database engines — including Hive, MariaDB, MongoDB, MSSQL, MySQL, Oracle, Postgres, SQLite, SAP HANA, and SAS (beta).

For proprietary or legacy systems that aren't covered out of the box, Fahras also supports a Custom Database connection, so even older or in-house data stores can be brought into the catalog.

Connecting to a database from Fahras

Setting up a connection follows three steps:

  1. Select service type — pick the source category and engine.
  2. Configure service — name the service and set its options.
  3. Connection details — provide host, database, and credentials, then validate.

Once connected, Fahras retrieves the source's schemas and metadata. See Cataloging & annotation for what you can do next.