ADR-style comparison of Apache Iceberg, Delta Lake, and Apache Hudi for production lakehouses — consequences, trade-offs, migration paths, and a decision rubric for 2026.
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.
TimescaleDB internals explained: hypertables and chunk partitioning, columnar compression, continuous aggregates, retention, and tuning Postgres for time-series at scale.
Apache Kafka tiered storage explained: KIP-405 remote log architecture, local vs remote segments, infinite retention economics, and what changed for Kafka 4.x in 2026.