Apache Iceberg vs. Delta Lake vs. Apache Hudi: The 2026 Benchmark
An empirical benchmark evaluating metadata management, write amplification, compaction cost, and concurrent query latency across the three major Lakehouse table formats.
Research-based technical deep-dives on distributed streaming, Lakehouse internals, and Spark performance.
An empirical benchmark evaluating metadata management, write amplification, compaction cost, and concurrent query latency across the three major Lakehouse table formats.
KRaft vs. ZooKeeper architecture, a production migration path, controller resilience and exactly-once Spark Structured Streaming design patterns.
A production guide to broadcast joins, Adaptive Query Execution, key salting, executor sizing and stable performance on shuffle-heavy workloads.
Event-driven versus micro-batch processing, state management, checkpointing, latency, throughput and Lakehouse integration.