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Databricks is a data lakehouse platform. Auxia connects to Databricks in one of two ways: by reading your Unity Catalog managed Delta tables directly, with short-lived credentials, or with Delta Transfer, where you export Parquet files to Amazon S3 on a schedule. Both are set up together with the Auxia team.

Setup: Unity Catalog

Recommended · about 10 minutes

Setup: Delta Transfer

About 30 minutes

Choose a method

Features

How it works

Unity Catalog. Auxia authenticates as a service principal you create, asks Unity Catalog for short-lived credentials scoped to one table at a time, and reads that table’s underlying files directly from your storage — read-only. Change Data Feed lets Auxia read only what changed since the last run, so enable it on each table before the first load. Auxia runs the initial historical load, then recurring incremental reads, and validates row counts before go-live. Delta Transfer. You export each table to a dedicated S3 bucket as partitioned Parquet with a scheduled notebook, using one of three patterns — append-only, Change Data Feed, or full snapshot — and grant Auxia read access with a bucket policy. Auxia reads from the bucket the same way as the Amazon S3 connector.

Limitations

  • Both methods are set up with the Auxia team, not in the self-serve wizard.
  • Unity Catalog direct read requires a Databricks workspace on AWS, with table data on Amazon S3, and Unity Catalog managed Delta tables.
  • Share base tables rather than views.
  • See Source data requirements for requirements shared by all connectors.