Why SaaS Companies Are Standardizing on the Data Lakehouse

Episode 24 of SaaS Business with Fexingo explores why a growing number of SaaS companies are migrating from separate data warehouses and data lakes to a unified lakehouse architecture. Lucas and Luna drill into the economics, using Snowflake's 2024 pivot to support Apache Iceberg and Databricks' dominance in ML workloads. They discuss how the lakehouse reduces data silos, cuts ETL overhead by up to 70 percent, and enables real-time analytics and AI training on a single copy of data. Specific benchmarks: a mid-market CRM vendor cut query costs by 40 percent after consolidating on a lakehouse. The hosts also touch on the open-source versus proprietary debate, and how startups like Onehouse are commoditizing the platform layer. No prior knowledge of data infrastructure required; listeners will come away understanding why this matters for SaaS margins, product velocity, and competitive defensibility. #DataLakehouse #SaaS #Snowflake #Databricks #ApacheIceberg #DataArchitecture #RealTimeAnalytics #DataSilos #SaaSCosts #OpenSource #Onehouse #AIInfrastructure #DataEngineering #BusinessTechnology #TechInfrastructure #FexingoBusiness #BusinessPodcast #SaaSBusiness Keep every episode free: buymeacoffee.com/fexingo