Introduction
For Dremio's data lakehouse platform, we're facing a critical trade-off between expanding support for more data sources and improving query performance on existing integrations. This decision will significantly impact our product strategy, user experience, and market positioning. I'll analyze this trade-off by examining our current product landscape, evaluating potential impacts, and proposing a data-driven approach to make an informed decision.
I'd like to outline my approach to ensure we're aligned on the key areas we'll cover in this discussion.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps prioritize based on market demands and competitive advantage. Expected answer: We're lagging in data source coverage but leading in performance. Impact on approach: Would lean towards expanding data sources if true.
Why it matters: Ensures the solution addresses the needs of our most valuable customers. Expected answer: 60% enterprise with performance needs, 40% mid-market seeking broader integration. Impact on approach: Would influence the weighting of performance vs. integration in our decision.
Why it matters: Determines the feasibility and potential impact of performance optimizations. Expected answer: 30-40% performance gain possible with current architecture. Impact on approach: Would influence the potential ROI of focusing on performance improvements.
Why it matters: Ensures alignment with broader company strategy and future plans. Expected answer: Potential partnership with a major cloud provider in Q4. Impact on approach: Might prioritize compatibility or performance based on partner requirements.
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