Episode 21: From Open-Source to SaaS with Head of Engineering at Onehouse
Varun Madan, Head of Engineering at Onehouse, walks through the journey of transforming the open-source Apache Hudi project into a high-performance, enterprise-ready SaaS platform. Covers data lakehouse architecture, building SaaS offerings, and includes a live demo of real-time data ingestion.
Special Guests
Varun Madan
Head of Engineering at Onehouse, transforming Apache Hudi into enterprise SaaS.
Timestamps
00:00Intro: Data Quality for Agentic AI01:15What is a Data Lakehouse & Why It Matters03:50Apache Hudi: From Uber to Open Source05:45Lake vs Warehouse vs Lakehouse08:00Key Lakehouse Features: Indexes, Metadata, Speed10:20From Open Source to SaaS: Building Onehouse13:00Solving Real-World Enterprise Data Challenges16:00Live Demo: Ingesting Kafka Data into Onehouse19:30Running AI Workloads with Ray21:30Final Thoughts & How to Get StartedRelated Episodes
Episode 28: Commercializing Open Source: Why Most Founders Get It Wrong
Recorded at the AWS re:Invent SaaS Summit, four open-source veterans from Percona, Couchbase, and Omnistrate break down what actually works when commercializing open source, and the expensive mistakes founders make. The panel covers open core vs. foundation models, avoiding MongoDB-style license backlash, and partnering with hyperscalers without getting 'Amazon'd'.
Episode 25: Ep 20: Future of Cloud-Native Data Services with AI and Agents
Sergey Pronin, founder of Solanica and former Percona engineer, joins the panel to discuss why the SaaS-only data model is fracturing. The conversation covers 'Dark Matter Data' trapped inside enterprises, treating databases like cattle on Kubernetes, API-driven self-service provisioning, and why donating Open Everest to the CNCF matters for license-stable infrastructure.
Episode 20: The Agentic SaaS Executive Summit - Live Event
A live summit event featuring two panel discussions: 'Agentic AI: Revolution, Evolution or Hype?' examining how Agentic AI is reshaping the SaaS landscape, and 'Commercializing Open Source: Paths, Tradeoffs & Lessons' exploring strategies for building sustainable businesses around open technologies.