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.
Extensions like pg_lake bypass this limitation by decoupling the storage plane entirely into cloud data lakes using Apache Iceberg, while offloading the OLAP execution path to an isolated background process running a vectorized DuckDB engine.
I’ve mapped out the end-to-end execution flow, resource safety boundaries, and scheduling differences between macro-distributed engines and micro-morsel processing engines.
Dive into the full architecture layout here:
DeepDiveDuckDB
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