Executive Summary

Enterprises running mission-critical Postgres — DBAs, SREs and backend engineers at an estimated 80,000 organizations — still face outages and slow queries that are frequently rooted in optimizer plan regressions, schema-statistics drift, or subtle query shape changes that metrics-only tools miss. Current dashboards surface resource symptoms but not actionable, plan-level guidance, so resolving issues often requires senior DBA time or lengthy rollbacks. You could build a continuous, plan-aware advisory service for Postgres that detects plan regressions, explains root causes at the EXPLAIN/optimizer level, and produces safe, prioritized remediation recommendations (index/DDL suggestions, ANALYZE/statistics actions, conservative query rewrites and optional patch DDL) with integrations for RDS, Aurora, GCP, and self-hosted Postgres. Architecting a hybrid system — deterministic rule engine for safety plus specialized SQL/optimizer models for context-aware suggestions — and providing clear validation, rollback paths and observability hooks will limit false positives and build operator trust. The timing is favorable: a $4.8B addressable market (80,000 enterprises × $60K ACV), a market score of 92/100 and revenue potential at 88/100 reflect strong demand as Postgres becomes the default across cloud and on-prem systems while AI-assisted developer tooling matures. Competition is medium — from APM vendors, niche Postgres tools and cloud providers — but the market is expanding as expectations for predictable DB performance rise. This idea can stand out by focusing uniquely on plan-level explanations and safe, actionable fixes rather than just anomaly detection, pairing reproducible plan diffs and synthetic-replay validation with enterprise integrations and SOC/PII-safe deployment models. The challenges are real: building trust in automated advice, supporting broad Postgres versions and extensions, proving measurable ROI in pilots, and competing with cloud vendors adding native features — overcoming those requires conservative defaults, strong pilot metrics and a clear enterprise security posture.

Executive Summary

Market Opportunity

Reduce Postgres outages and slow queries with automated plan-level advice targets a $4.8B = 80,000 enterprises x $60K ACV (global enterprises running mission-critical Postgres instances willing to buy DB performance suites) total addressable market with medium saturation and a year-over-year growth rate of 15-25% (observability & database tooling growth driven by cloud migrations and DB consolidation).

Key trends driving demand: Postgres-as-default -- Enterprises and cloud apps standardizing on Postgres increases addressable base and variation of workloads requiring advanced tuning; AI-assisted dev tooling -- LLMs and specialized SQL models allow automated, context-aware query- and plan-level advice previously requiring DBAs; Cloud-managed DBs -- RDS/Aurora/GCP/Timescale growth shifts responsibility & expectations for predictable performance to tooling vendors; Open-feature primitives -- upstream features like pg_plan_advice enable deeper, first-party integrations that yield better recommendations.

Key competitors include EverSQL, SolarWinds Database Performance Analyzer (DPA), Datadog (Database Monitoring / APM), Percona Monitoring and Management (PMM), Pghero (ankane) & other OSS Postgres tools.

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Reduce Postgres outages and slow queries with automated plan-level advice

Executive Summary

Reduce Postgres outages and slow queries with automated plan-level advice

Executive Summary

Market Validation

Market Opportunity

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