Executive Summary

Slow PostgreSQL queries are a persistent pain for engineering teams and DBAs at SMBs and mid-market companies—when queries degrade, SLOs slip, features slow down, and cloud DB bills rise—yet root-cause fixes are often ad-hoc and slow. Teams lack a reproducible, checklist-driven process for tuning that ties telemetry to prescriptive actions, so mean time to resolution remains high. You could build a focused product that combines checklist-driven remediation playbooks with continuous Postgres-specific monitoring, prioritized tuning recommendations, and one-click remediation/rollback integrated into DBaaS and CI pipelines. The product would surface prescriptive fixes (indexing, query rewrites, config changes), estimate cost savings in dollars, and track remediation efficacy over time. The market is attractive now: approximately 200,000 target businesses × $12K ACV yields a $2.4B TAM, and cloud migration plus DBaaS adoption is increasing the number of Postgres instances under active management while rising cloud costs make ROI easy to quantify. This can stand out by being narrowly focused on Postgres with verifiable, checklist-driven interventions and built-in ROI calculations that deliver faster time-to-value than generalist observability tools. The challenges are clear—competing with larger observability vendors and building deep Postgres expertise and telemetry integrations—but the combination of measurable cost savings and rapid operational wins makes this a practical niche to pursue.

Market Opportunity

Slow PostgreSQL queries fixed with checklist-driven tuning and monitoring targets a $2.4B = 200,000 businesses × $12K ACV total addressable market with medium saturation and a year-over-year growth rate of 15% YoY — based on growth in observability, managed DB services, and increased DB spend (public comps and DBaaS trends).

Key trends driving demand: Trend — Cloud migration and DBaaS adoption are increasing the number of Postgres instances under active management, creating a larger telemetry surface for tuning products.; Trend — Rising cloud database costs make cost-savings a quantifiable ROI for tuning tools, which shortens sales cycles for SMBs and mid-market buyers.; Trend — Observability consolidation favors generalists, leaving an opening for focused, domain-specific tools that deliver faster time-to-value for DB performance.; Trend — Advances in automated query analysis and explain-plan interpretation make prescriptive remediation feasible with low human overhead..

Key competitors include pganalyze, Datadog (Postgres integrations), EverSQL (SQL optimization).

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Slow PostgreSQL queries fixed with checklist-driven tuning and monitoring

Executive Summary

Market Validation

Market Opportunity

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