No-code apps and databases decision

Turso

Because Turso is open-source (official repo available) a technical user can self-host the core functionality; paying for Turso Cloud is worthwhile only for its production-scale hosting, branching, sync, and enterprise features.

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You pay

$4.99/mo

$60/yr

Read off the official pricing page.

You’d pay instead

$20one-off6 h to build

$20/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 5 seats.

What a replacement has to do

  • Host Turso (open-source) or provision a simple hosted SQLite-files-as-service with native vector search: create DB file per user, accept SQL over REST, run vector similarity queries, store DB files in object storage, and expose basic metrics and backups.

What it still won’t have

  • Production-grade multi-region scale and SLA
  • Advanced concurrent-write guarantees and conflict-resolution built into Turso's engine
  • Branching / instant copy-on-write database branches
  • Built-in sync/replication and embedded WASM/browser runtime features
  • Enterprise features: long retention point-in-time restore, audit logs, SOC2/HIPAA attestation and BYOK

What remains hard

  • Infrastructure at scaleProduction Ready Turso Cloud
  • Infrastructure at scaleScale to millions of agents with unlimited databases and built-in vector search for LLMs.
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted Turso deployment using the official tursodatabase/turso repo on a single VM cluster (Ubuntu 22.04) plus S3-compatible object storage. In scope: clone and build the repository, run server processes behind an nginx reverse proxy with TLS (Let's Encrypt), configure persistent DB file storage in S3, expose a REST API for creating/opening per-user DBs and executing SQL, wire vector search using the repo's native vector support (or FAISS fallback), add token-based auth, automated backups to S3, and Prometheus metrics + Grafana dashboard. Out of scope: multi-region HA, enterprise compliance (SOC2/HIPAA), and a web UI richer than a simple DB listing. Include logging, error handling for failed DB opens/repairs, and an automated test suite for API endpoints and vector-search correctness.
How we checked5 sources · 2/2 runs agreed · evidence score 99

How the score was reached

  • Self-host verdict base92
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 2/2 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score99

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 2 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page