OLAP and OLTP lines are blurring

The Data Engineering Holy Grail

Running intensive analytical queries without starving your operational transactional database connections on the same host machine. Historically, this was an anti-pattern. A single rogue reporting query could blow out system RAM and crash your core application database.

How pg_lake Solves the Problem

Extensions like pg_lake bypass this limitation by:

• Decoupling the storage plane entirely into cloud data lakes using Apache Iceberg
• Offloading the OLAP execution path to an isolated background process running a vectorized DuckDB engine

Architecture Breakdown

I've mapped out the end-to-end execution flow, resource safety boundaries, and scheduling differences between:

1. Macro-distributed engines
2. Micro-morsel processing engines

Dive into the full architecture layout here: DeepDiveDuckDB