Post by RisingWave

Siemens achieved ~1000× faster data availability while cutting infrastructure costs by more than 50% with a single architectural change. Traditional data stacks rely on: ➡️ Batch ETL ➡️ Scheduled jobs ➡️ Complex orchestration ➡️ Delayed reporting Every layer adds latency. And latency creates a gap between data and decisions. Siemens closed that gap. By replacing nightly batch jobs with a fully streaming Medallion architecture powered by RisingWave. Before: ➡️ Hours of latency ➡️ Complex ETL pipelines ➡️ Dedicated scheduling clusters ➡️ Next-day reporting After: ✅ Real-time processing ✅ Continuous SQL transformations ✅ Always-fresh insights The shift wasn't incremental. It was architectural. Traditional Medallion architectures follow: Bronze → Silver → Gold But every layer waits for the next batch. Siemens changed that. With RisingWave: ➡️ Bronze streams continuously ➡️ Silver transforms continuously ➡️ Gold updates continuously No batches. No waiting. No stale data. The biggest win wasn't just speed. It was simplicity. Before: ➡️ ETL scripts ➡️ Schedulers ➡️ Landing zones ➡️ Batch infrastructure After: ✅ Postgres style SQL ✅ Materialized views ✅ One streaming platform The results: ➡️ ~1000× faster data availability ➡️ >50% lower infrastructure costs ➡️ Real-time operational visibility ➡️ Live business metrics As data volumes grow, the challenge isn't collecting data. It's turning data into decisions before the opportunity passes. That's what streaming architectures enable. A special thanks to our partner, Hivemind Technologies, for their incredible support and collaboration throughout this journey. Andreas Vogler Erik Schmiegelow #RealTimeAnalytics #MedallionArchitecture