Blogs on OLake
Data Warehouse vs Data Lakehouse - Architecting the Modern Stack
A comprehensive guide comparing Data Warehouse and Data Lakehouse architectures, exploring their core differences, feature capabilities, and when to choose each approach for your modern data stack.
Data Lake vs. Data Lakehouse – Architecting the Modern Stack
Discover how Data Lakehouses revolutionize data architecture by bringing ACID transactions, schema enforcement, and governance to cloud object storage, eliminating the need for complex dual-tier systems.
Deep Dive into Kafka as a Source in OLake: Unpacking Sync, Concurrency, and Partition Mastery
Explore OLake's Kafka source connector—featuring schema discovery, custom group balancing, partition-aware concurrency, and incremental batch sync to Apache Iceberg with exactly-once semantics.
Postgres → Iceberg → Doris: A Smooth Lakehouse Journey Powered by Olake
Learn how to build a complete lakehouse architecture using PostgreSQL, Apache Iceberg, and Apache Doris for real-time analytics. Step-by-step guide with OLake for seamless data ingestion.
Building a Serverless Iceberg Lakehouse: OLake's Speed + Bauplan's Git Workflows
Learn how OLake and Bauplan work together to create a powerful, version-controlled data lakehouse on Apache Iceberg.
Parquet vs. Iceberg: From File Format to Data Lakehouse King
Understand how Apache Parquet and Apache Iceberg complement each other — the foundation and blueprint for building reliable, scalable data lakehouses.