PostgreSQL vs Turso

Two sides of the database decision: run it yourself and managed database. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.

Ask your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗

Which fits you

Choose PostgreSQL if
  • You already run your own server and want a flat monthly cost

Use it whenYou already run a server, or want extensions and settings a managed provider doesn't offer.

Trade-offBackups, upgrades, failover and connection pooling are yours to set up and watch.

Choose Turso if
  • SQLite at the edge, or one database per customer.

Use it whenEach customer should get their own isolated database, or reads need to happen close to users worldwide.

Trade-offSQLite semantics — one writer at a time, fewer extensions — suit read-heavy apps better than write-heavy ones.

At a glance

PostgreSQLTurso
Used by74 makers' products · 542 open-source projects13 makers' products · 33 open-source projects
Cost at default usagedatabase size 8 GB, data transfer 50 GB, document or row reads 10 million reads, document or row writes 2 million writes—$5.99/mo Developer
Moved to it on GitHubpull requests since Oct 202410 from Turso4 from PostgreSQL
Downloads45.1M/wk+18% vs npm2.2M/wk+102% vs npm
PricingFree and open source under the PostgreSQL License; you pay only for the server or managed service that runs it.Free tier; paid plans by databases and usage. · paid from $4.99/mo
Free tierYesYes
Open sourceYes · self-hostableYes · self-hostable

Who moves from one to the other

Public pull requests on GitHub since Oct 2024 whose title says "PostgreSQL to Turso" or the reverse — real code changes, by developers in general rather than makers only.

What makers say

Makers on using it for database, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.

On PostgreSQL
Postgres is rock-solid. It handles complex data relationships gracefully and gives us the querying power we need as we scale. For relational data, it’s hands down the best choice for us.
VisionAR, the makerSep 2026 ↗
We picked PostgreSQL over MongoDB and dedicated vector databases because one proven database handles our relational data, JSON and agent memory, with no extra stores to run.
Semos.ai Manager Agents, the makerSep 2026 ↗
Postgres is so nice to work with. pg_dump was a lifesaver when we had to move database providers. Extensions like pgvector make it the best database for building AI apps.
CamelAI, the makerSep 2026 ↗
48 more on the PostgreSQL page →
On Turso
We wanted to build application that has single tenant databases for each organization. Turso handles that super nicely. In addition the ability to have embedded replicas is killer feature for building local RAG.
reconfigured, the makerSep 2026 ↗
We love Turso because it combines the simplicity of SQLite with the scalability we need for production. It works seamlessly for edge and serverless applications, which makes it perfect for the kind of projects we build.
EmailCatcher, the makerSep 2026 ↗
Turso is my database! Turso made it really easy to switch from local development to hosted on the cloud.
CoffeeChat Bot, the makerSep 2026 ↗
6 more on the Turso page →

Loved and watch-outs

Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.

PostgreSQL
Most loved
  • It is rock-solid, keeps data consistent with strong transactions, and handles complex relational queries well. PHPH 2PH 3PH 4
  • With pgvector, embeddings live next to relational data, so AI features need no separate vector database. PHPH 2PH 3PH 4
  • Extensions and features like PostGIS, JSON support and advanced indexing cover geospatial and semi-structured data too. PHPH 2PH 3
Watch-outs
  • Built-in full-text search lacks corpus-wide relevance ranking like BM25 and can need very large indexes. HNHN 2
  • It has no loose index scan, so SELECT DISTINCT over large tables needs manual workarounds. HNHN 2
  • Timestamp versus timestamptz and AT TIME ZONE behavior are easy to get wrong, with edge-case bugs around daylight saving. HNHN 2HN 3
On Product Hunt: 5.0★, 77 reviews · mentioned most: reliability, performance, scalability
Turso
Most loved
  • It keeps SQLite's simplicity while scaling for edge and serverless apps, and moving from local development to hosted is easy. PHHN
  • A database per tenant and embedded replicas make single-tenant designs and local-first or offline apps straightforward. PHPH 2HN
  • The Rust rewrite adds async I/O, concurrent writes, encryption, change data capture and vector search while staying SQLite file-compatible. HNHN 2HN 3HN 4
Watch-outs
  • The Rust rewrite is still beta, with panics, data-corrupting bugs and thin test coverage that undermine trust for production. HNHN 2HN 3HN 4
  • The split between libSQL and the new Turso packages is confusing, and libSQL showed memory leaks on large write jobs. HNHN 2HN 3
  • Compatibility with SQLite is incomplete; for example, another process cannot read a WAL database it has open. HNHN 2
On Product Hunt: 5.0★, 15 reviews · mentioned most: developer experience, multi-tenant data handling

Who uses each

Used by both — often one replacing the other, or each for a different part of the product

What makers pair each with

SupabaseBackend platformPostgres plus auth, storage and realtime in one project.vs PostgreSQL →vs Turso →
ConvexBackend platformRealtime, collaborative apps written entirely in TypeScript.
FirebaseBackend platformMobile apps that need offline sync and client-side SDKs.
NeonManaged databaseServerless Postgres that scales to zero, with a branch per preview deploy.vs PostgreSQL →vs Turso →
PlanetScaleManaged databaseApps that expect heavy scale and want zero-downtime schema changes.
MongoDBManaged databaseDocument-shaped data and teams already fluent in Mongo.vs PostgreSQL →