MSManu Shuklainecorpit.hashnode.dev·1d ago · 12 min readApache Iceberg vs Delta Lake in 2026: choosing the open table format for your lakehouseApache Iceberg vs Delta Lake in 2026: choosing the open table format for your lakehouse Summary. The table format is the one lakehouse decision that is hard to reverse, and in 2026 the two leaders are00
STShyaamal Tripathiinshyaamal.hashnode.dev·Jul 5 · 7 min readWhat Is a Data Lakehouse? A clear, vendor-neutral explanation of where the lakehouse came from, why it exists, what changed in the middle, and who should use it today. Explain It Like I’m Five Imagine your company has a giant 00
RLRisingWave Labsinrisingwave.com·May 22 · 11 min readApache Iceberg for AI/ML: How Real-Time Ingestion Changes Model Training PipelinesApache Iceberg solves the two hardest problems in ML data infrastructure: keeping training data current and making experiments reproducible. Pair it with RisingWave's streaming SQL engine and your fea00
YSYuhao Suinrisingwave.com·May 22 · 10 min readWhy Your Iceberg Ingestion Pipeline Breaks Under Scale (And How to Fix It)TL;DR The three most common Iceberg ingestion pipeline failures at scale are small file explosion from frequent checkpoints, commit conflicts from concurrent writers, and compaction debt that steadily00
RLRisingWave Labsinrisingwave.com·May 22 · 9 min readCDC to Iceberg: Sync Your Operational Database to the Data Lake in Real TimeCDC to Iceberg is a common data engineering challenge: you need the latest changes from your operational database replicated to your data lake in minutes, not hours. RisingWave solves this with a sing00
YSYuhao Suinrisingwave.com·May 22 · 12 min readStreaming Writes to Apache Iceberg: How RisingWave Eliminates the Batch WindowTL;DR Traditional Iceberg ingestion pipelines require a streaming engine (Flink), a compaction job, and a scheduler - three moving parts for one table. RisingWave replaces all of them: one CREATE SINK00
FSFahad Shahinrisingwave.com·Apr 8 · 15 min readApache Iceberg in 2026: Streaming Integration, Catalogs, and What ChangedWhy Apache Iceberg Won Three open table formats competed for the lakehouse standard over the past several years: Apache Iceberg, Delta Lake (Databricks), and Apache Hudi (Uber). By 2026, Iceberg emerged as the format that every major data platform su...00
GGGlenn Grayintallgray.hashnode.dev·Apr 4 · 7 min readBuilding Apache Iceberg Lakehouse Storage with S3 Table BucketsOriginally published on graycloudarch.com. The data platform team had a deadline and a storage decision to make. They'd committed to Apache Iceberg as the table format — open standard, time travel, schema evolution, the usual reasons. What they hadn...00
RLRisingWave Labsinrisingwave.com·Apr 3 · 7 min readReplacing Lambda Architecture with RisingWave and Apache IcebergLambda Architecture maintains two separate pipelines — a batch layer for accuracy and a stream layer for speed — which doubles operational complexity and often produces inconsistent results between layers. RisingWave with Apache Iceberg replaces both...00
RLRisingWave Labsinrisingwave.com·Apr 3 · 7 min readQuerying Apache Iceberg Tables with Streaming SQLIn RisingWave v2.8+, you can query Apache Iceberg tables directly using streaming SQL by registering them as sources. This enables lakehouse-style queries — joining Iceberg tables with live Kafka streams, reading historical snapshots, and building ma...00
