TL;DR

Pinterest has implemented a CDC-based system with Kafka, Flink, Spark, and Iceberg that slashes database update latency from 24+ hours to under 15 minutes while optimizing cost and supporting petabyte-level data.

What happened

Pinterest launched an advanced database ingestion framework based on Change Data Capture (CDC) technology. This system uses Kafka, Flink, Spark, and Iceberg to reduce the time for data availability from over 24 hours to just 15 minutes, processes incremental updates efficiently, and scales effectively.

Why it matters for ops

The new framework enhances operational efficiency by reducing latency, optimizing cost through efficient processing of only changed records, and scaling seamlessly with petabyte-level datasets across thousands of pipelines.

Action items

  • Explore CDC technologies like Kafka Connect and Debezium for real-time data ingestion.
  • Evaluate Flink and Spark integration to process incremental updates efficiently.
  • Consider Iceberg as a storage layer for scalable data processing.

Source link

https://www.infoq.com/news/2026/02/pinterest-cdc-db-ingestion/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global