Executive Summary

Many teams that use PostgreSQL extensions and modern ORMs run into silent failures or incorrect results when they drop into raw SQL: custom types and casts authored by extensions are not preserved by client drivers or ORM raw-query layers, producing runtime errors, data corruption, or urgent engineering time to patch queries. This problem is most acute for backend engineers and DBAs at product companies and platform teams building on managed Postgres, where adoption is broad — we estimate an addressable market of roughly 2 million businesses and a $4.0B developer tooling opportunity (targeting a $2K ACV per account). A viable product would be a compatibility layer and developer toolkit that preserves PostgreSQL custom type metadata across raw queries: a lightweight client-side library and optional DB proxy that synchronizes type registries, injects safe cast declarations into raw SQL, and offers ORM plugins and CI-time checks to surface incompatibilities. The core could be open-source to drive adoption, with paid integrations, support, and DBaaS partnerships as commercial levers; this approach maps to the stated market and revenue potential (market score 88/100, revenue potential 88/100). Now is a favorable moment because extensibility in Postgres is accelerating, managed Postgres and DBaaS usage is increasing, and ORMs are more widely used than ever — a convergence that raises the incidence and cost of these edge cases. Competition is medium, so getting first-class integrations with major ORMs (Prisma, SQLAlchemy, ActiveRecord) and managed providers would be an important moat. Strengths of this idea include clear, measurable pain reduction for teams and a pragmatic go-to-market (OSS funnel plus enterprise features); challenges include maintaining compatibility across Postgres versions and extensions, supporting multiple client drivers, and navigating enterprise sales cycles. With focused engineering and early partnerships, this product can be a practical compatibility layer that prevents breakage rather than another general-purpose ORM alternative.

Market Opportunity

Preserve PostgreSQL custom type casts in raw queries to support extensions targets a $4.0B = 2M businesses × $2K ACV total addressable market with medium saturation and a year-over-year growth rate of 10% YoY — aligned with developer tools and database tooling growth estimates from industry reports and Stack Overflow developer trends.

Key trends driving demand: Growing Postgres extensibility — more extensions and custom types are being authored, creating demand for compatibility tooling that prevents breakage.; Rise of managed Postgres and DBaaS — as more teams use hosted Postgres, they seek stable integration layers between ORMs and providers.; ORM adoption growth — modern ORMs are widely adopted which exposes more teams to raw-query edge cases and increases the addressable audience for compatibility solutions..

Key competitors include Prisma, Supabase, Hasura.

Sign in to access

Preserve PostgreSQL custom type casts in raw queries to support extensions

Executive Summary

Market Validation

Market Opportunity

More in Developer Tools

Manage dozens of websites with centralized automation and governance

Reduce latency & cost with AI-driven backend optimization for mobile games

Missed sales from phone leads fixed by an API phone system that captures and qualifies

AI coding tools lose context, provide persistent cross-tool memory

Open-ended scientific tasks lack rigorous, domain-expert benchmarks

Fix fragile delivery-app checkout flows with AI-driven test & observability