Interview, Fireside Chat
Building a $20B+ Open Source Business with MongoDB and Viam's Eliot Horowitz
- Strategic Pivot on Enterprise Sales: Go-to-market strategies cannot rely exclusively on large enterprise deals, which may take three years to close; organizations must instead allow developers to adopt technology organically rather than attempting to force changes to developer workflows.
- Open Source Mandate: Elliot Horowitz asserts that no serious infrastructure software will ever be successful without being open source, as it ensures system stability, security, and long-term viability independent of corporate survival.
- Monetization via Cloud Services: The viable business model for modern open source infrastructure involves keeping the core product open source while commercializing the cloud services (storage, compute, connectivity) required to run it effectively, leveraging consumption-based pricing.
- Competitive Landscape (2007): MongoDB entered a market dominated by Oracle and SQL Server, competing simultaneously against open-source relational databases like MySQL and Postgres, as well as other emerging NoSQL startups.
- Community-Led Growth Strategy: The initial growth strategy involved ignoring competitors to focus entirely on developer satisfaction, utilizing "guerrilla marketing" at tech meetups (Python, Ruby) and leveraging word-of-mouth rather than a traditional marketing budget.
- The "Five-Minute" Value Proposition: To convert users, the product must demonstrate clear value within five minutes of interaction; MongoDB achieved this by embedding a shell in the website to allow immediate query execution and reducing installation time to under five minutes.
- Hobbyist-to-Enterprise Adoption: The team intentionally avoided early use-case specialization, allowing developers to explore the tool via side projects and hackathons, which naturally transitioned into enterprise adoption when developers convinced stakeholders of the technology's viability.
- Executive Buy-In Drivers: Securing executive approval relied on three pillars: accelerating time-to-market, mitigating long-term operational risk, and serving as a recruiting tool to attract top engineering talent eager to work with modern technology rather than legacy systems.
- MongoDB University Initiative: The company launched an online education system with certifications to validate the talent pool, signaling to enterprises that a skilled workforce was available to support the new platform.
- Sales Team Evolution: The first dedicated hire was an events/logistics manager; the first enterprise salesperson was hired only after engineers recognized the need to professionalize deal negotiations, occurring after significant user traction but before a large count of formal enterprise contracts.
- Bottom-Up to Top-Down Motion: The sales methodology involves landing non-mission-critical projects to build credibility, which then serves as the entry point to negotiate with executives for larger, mission-critical deployments.
- VM's Market Positioning: Unlike MongoDB's entry into an established database market, VM carved out a new market for hardware-embedded software platforms; while the acquisition of the first customers was easier due to prior reputation, the market dynamics were distinct.
- Enterprise Sales Efficiency: By avoiding the "support and consulting" model used in MongoDB's early years, VM can immediately target higher-revenue enterprise deals while maintaining a focus on developer community building.
- In-Person Trust Building: Horowitz emphasizes that physical interaction and in-person connections are irreplaceable for building the deep trust required when customers bet their businesses on a technology and team.
- Customer Demo Methodology: The sales approach rejects slide decks and "DemoWare" in favor of live demonstrations using real-world production systems within three days to prove immediate value and solve specific pain points.
- Sales Insight Technique: Effective sales conversations begin by asking customers what is on their 3-6 month roadmap that they desperately wish to deliver sooner, or what specifically drives their engineers' frustration.
- Long-Term Enterprise Nurture: Large enterprise deals often involve hidden projects that may take years to mature; sales teams must be comfortable nurturing these leads without immediate conversion, trusting the bottom-up adoption process.
- Recruiting Success Story: At MongoDB, the ability to work with non-legacy technology became a significant advantage in hiring engineers who were previously uninterested in joining large enterprises using older database stacks.
- Future-Proofing Strategy: The core belief remains that developers will continue to choose tools that make their lives easier and reduce code complexity, a principle that drives adoption regardless of the specific hardware or software sector.