Mastering Streaming Ingestion into Apache Iceberg

Apache Iceberg was designed for batch analytics, but production environments demand continuous data ingestion. This guide compares three streaming architectures—Spark Structured Streaming, Apache Flink, and checkpoint-based approaches—each presenting distinct trade-offs between data freshness and table performance. For organizations building low-latency lakehouses, understanding these architectural differences is essential to balancing ingestion speed with storage efficiency.