From 40-Minute to Sub-Minute Segmentation Queries: How Bitespeed rebuilt its customer segmentation engine using OLake and Apache Iceberg
Bitespeed is a customer engagement and messaging platform built for modern commerce brands. Learn how they rebuilt their segmentation engine using OLake and Apache Iceberg without breaking their budget.
Astrotalk's Migration to Databricks: How OLake Replaced Google Datastream for Large-Scale Database Replication
Astrotalk runs one of India's largest astrology platforms, serving **millions** of users and handling large volumes of transactional data across PostgreSQL and MySQL. As the company began shifting from Google BigQuery to a Databricks-based lakehouse, they needed a reliable way to replicate databases to S3.
Cordial's Path to an AI-Ready Lakehouse: Large scale Multi-Cluster MongoDB Ingestion with OLake
Cordial, a leading marketing automation platform, is unifying thousands of MongoDB collections into a single Apache Iceberg based lakehouse architecture to power its next generation of AI agents.



