Why a Database Company Is Treating Postgres Like the LLVM of Databases

A familiar pattern from software engineering — LLVM as a shared compiler core for many programming languages — is being proposed for databases: one storage engine, many SQL dialects on top. The idea is now shaping a real rewrite of one of the world's most important databases.

The LLVM analogy

In compilers, LLVM sits between the surface languages — C, Rust, Swift — and the actual machine code that runs on a processor. Developers write in whichever language they prefer; LLVM does the hard work of turning it into correct, efficient output. The benefit is that teams stop rebuilding the same difficult engine over and over.

Database startup Turso is applying that same logic to storage systems. The announcement, picked up quickly across the developer community, framed the goal as becoming the "LLVM of databases": a single, modern, reliable core written in Rust, with different SQL frontends bolted on top. After rewriting SQLite in the same style over the past year, the company has turned to Postgres.

Why Postgres, and why Rust

Postgres is the battle-tested general-purpose database behind a large share of the internet. It is reliable, expressive, and deeply loved — and it is also over thirty years old, with a codebase written primarily in C. A Rust rewrite is a bet that a memory-safe language can preserve the correctness and behavior that Postgres users depend on while making the internals easier to change from the inside.

A parallel effort, pgrust, has already shown the idea is not just theoretical. That project passes the entire Postgres 18.3 regression suite — more than 46,000 queries — and can boot from an existing Postgres data directory, proving disk compatibility is achievable.

A philosophy, not just a rewrite

The deeper point is about how to keep a critical system alive across decades. Rather than treating each database as a standalone product, the LLVM-style view treats the storage engine as the durable asset and the SQL syntax as an interface that can evolve separately. Correctness moves from the database team's shoulders to a compiler-style infrastructure shared across products. In an era where long-lived infrastructure is under constant pressure, the strategy is less about moving faster and more about lasting longer.