Doug Database Ingestion Paths to Databricks and — AWS architecture diagram

About This Architecture

Doug Database ingestion architecture demonstrates four distinct pathways from AWS Aurora PostgreSQL to Databricks Lakehouse and Azure Synapse Analytics. Data flows from a private Aurora instance in a VPC through four options: Direct LH Federation for live query mesh, PostgreSQL Preview with managed CDC, Direct JDBC with custom Spark ETL, or Synapse Ingestion via the BAW team pipeline. This multi-path design lets data teams choose between real-time federation, change data capture, custom transformation, or managed ingestion based on latency and complexity requirements. Fork this diagram to customize ingestion paths, adjust network topology, or document your organization's data movement strategy across AWS and Azure.

People also ask

What are the different ways to ingest data from AWS Aurora PostgreSQL into Databricks Lakehouse?

This diagram shows four ingestion paths: Direct LH Federation for real-time live queries, PostgreSQL Preview with managed CDC for incremental loads, Direct JDBC with custom Spark code for flexible transformations, and Synapse Ingestion for teams using Azure Synapse. Choose based on your latency requirements, transformation complexity, and team expertise.

Doug Database Ingestion Paths to Databricks and

AWSintermediateAuroraDatabricksdata-ingestionETLmulti-cloud
Domain: Data EngineeringAudience: Data engineers evaluating multi-cloud ingestion strategies from Aurora PostgreSQL to Databricks and Synapse
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Created by

August 6, 2026

Updated

August 7, 2026 at 5:09 PM

Type

architecture

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