TimescaleDB internals explained: hypertables and chunk partitioning, columnar compression, continuous aggregates, retention, and tuning Postgres for time-series at scale.
Trino vs Presto vs Apache Spark for the lakehouse: MPP vs batch execution, latency, concurrency, Iceberg support, cost, and a decision matrix for query engines in 2026.