In this episode, we chat with Jordan Tigani, co-creator of BigQuery and now CEO of MotherDuck, a next-gen, serverless analytics platform built on top of DuckDB. Jordan walks us through his journey from leading engineering and product at Google to building a lean, developer-first company that’s challenging the assumptions of modern data infrastructure. We explore his pivot from enterprise-heavy go-to-market models to a bold product-led growth (PLG) approach, his views on usage-based pricing, open-source collaboration, and what AI hasn't done for the data world—yet.

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Most big data workloads are actually start small. You just don’t need massive infrastructure to do great analytics.— Jordan Tigani, CEO, MotherDuck

Key Insights

* Big Data is Overrated: Most companies don't actually need "big data" infrastructure. The vast majority of workloads, even at large organizations, are run over small data.

* Why MotherDuck Exists: Inspired by the elegance and power of DuckDB, Jordan saw an opportunity for a cloud-native, serverless experience that could scale down as easily as it scales up.

* The PLG vs. Sales Balance: While MotherDuck began with a PLG motion, Jordan shares why they now employ a hybrid strategy—PLG to drive adoption, sales to deepen engagement and expansion.

* Open Source Partnerships Done Right: DuckDB Labs owns a co-founder equity stake in MotherDuck, ensuring tight alignment and seamless collaboration—without code forking or IP conflicts.

* Usage-Based Pricing = Real-Time Value Alignment: Tying revenue to actual usage helps MotherDuck scale quickly, but also makes forecasting tricky. Jordan discusses how they manage this trade-off.

* AI Hasn’t Changed Everything (Yet): Despite the AI boom, Jordan believes its impact on the data infrastructure layer is still emerging. However, he sees internal applications—especially enrichment and ops—as low-hanging fruit.

Actionable Takeaways

* For Data Founders: If you're building for developers, your product must deliver immediate value—because you won’t get a second chance in PLG.

* For Open Source Builders: Consider strategic partnerships like MotherDuck’s—sharing upside with core maintainers can lead to long-term stability and innovation.

* For Growth Teams: Don’t ignore the long tail. Winning developer love at the grassroots can be a wedge into enterprise later.

* For Revenue Leaders: A blended GTM motion (PLG + sales-assist) allows you to capture low-touch users while accelerating high-touch deals. Invest in enrichment early.

* For AI Skeptics: You don’t need to “become an AI company” overnight. Focus on where AI truly adds operational or user-facing leverage today—and stay adaptable.

Resources Mentioned:

* MotherDuck: www.motherduck.com

* PLG Model Calculator: https://www.thrivestack.ai/gtm-maturity

* Big Data is Dead by Jordan Tigani: https://motherduck.com/blog/big-data-is-dead/

If you're tired of bloated, expensive data warehouses and want a faster, leaner, developer-first alternative—check out MotherDuck.

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From BigQuery to MotherDuck: Reinventing the Data Warehouse with Jordan Tigani