And this is why OLake (Open Source) is fast! Here's something for your weekend read: Exploring OLake's Architecture. If you're diving into real-time data replication or building modern data lakehouse architectures with Apache Iceberg, we've just shared an in-depth look at how OLake actually works behind the scenes. Whether your stack includes MongoDB, PostgreSQL, or MySQL, and you're targeting formats like Apache Iceberg or Parquet, this article has practical insights on designing scalable, efficient data pipelines. OLake is an open-source tool specifically built for high-speed data ingestion. Key Highlights: ⚡ Speed: Load data 4x to 10x faster compared to traditional ETL tools. 🕒 Real-Time CDC: Minimal-lag Change Data Capture from MongoDB, PostgreSQL, and MySQL. 🧩 Plug-and-Play Architecture: Cleanly separated core, drivers, and writers make extending OLake straightforward. 📊 Schema Flexibility: Seamlessly handles schema evolution and type changes compatible with Apache Iceberg. 🔄 Reliable Syncs: Built-in state management means your sync operations can resume effortlessly if interrupted. https://olake.io/blog/olake-architecture-deep-dive

I think #C03FYR328H4 might be a better channel