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Databases · head to head

dbt vs Turso

dbt logo

dbt

Databases

SQL transformation framework enabling analytics engineers to version, test and deploy models

From
Free
Rated
-
Turso logo

Turso

Databases

SQLite-lineage database platform for running very large numbers of small per-tenant databases, with an MIT-licensed engine.

From
Free
Rated
-

The short version

  • Each has a real cost: dbt free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use; Turso sQLite allows one writer per database, so a single tenant's write throughput cannot be scaled horizontally and a busy tenant serialises against itself with no sharding option.
  • Prices and features above were last checked on 2 September 2026.

Where they differ

Only the attributes on which dbt and Turso actually diverge.

Attributes where dbt and Turso differ
AttributedbtTurso
Pricing modelsubscription|freefreemium
PlatformsCloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf)Web

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in dbt

Nothing recorded that Turso does not also cover.

Only in Turso

  • Per-tenant databases
  • MIT licence
  • Embedded replicas
  • SQLite compatibility
  • HTTP access
  • Branching
  • Point-in-time restore
  • In-process engine

What people use each for

The jobs each tool is most often brought in to do.

dbt

  • Data warehouse transformation and ELT pipelinesnot Turso
  • Analytics engineering for reporting and business intelligencenot Turso
  • Data quality testing and validation at scalenot Turso
  • Cross-functional data collaboration with version controlnot Turso
  • Cost optimisation of warehouse usage through intelligent schedulingnot Turso

Turso

  • Multi-tenant SaaS where each customer gets their own database for real isolation, per-tenant restore and clean deletionnot dbt
  • Agent or session infrastructure that creates a throwaway database per task and destroys it afterwardsnot dbt
  • Local-first and offline-capable applications where an embedded replica serves reads at file speed and syncs when connectivity returnsnot dbt
  • Embedding a SQLite-compatible engine in a product where the public domain original's closed contribution model is a problemnot dbt

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

dbt

  • Free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use
  • Starter at $1,200/year per seat: minimum 5-seat team costs $6,000/year baseline; no single-seat or 2-seat paid option
  • Enterprise pricing opaque: 'custom pricing' with no budget range for startups vs. enterprises; requires sales consultation
  • Model volume metering unclear: 'successful models/month' as a limit is ambiguous; unclear if this counts transformation runs, test runs, or deployment attempts

Turso

  • SQLite allows one writer per database, so a single tenant's write throughput cannot be scaled horizontally and a busy tenant serialises against itself with no sharding option.
  • Per-tenant databases mean per-tenant migrations, so every schema change becomes a fan-out job that must be idempotent and resumable, and multi-database schemas, the feature meant to solve this, is deprecated.
  • There are no cross-database queries; ATTACH is deprecated on the cloud, so any report or analytic spanning tenants must be assembled in your application or in a separate warehouse you also operate.
  • Data Edge, the multi-region edge replication that was Turso's original positioning, is deprecated, so a large share of the tutorials and articles describing Turso as an edge database describe behaviour you can no longer rely on.
  • Three engine lineages share the name, SQLite, the libSQL fork and the Rust rewrite, and the Rust engine is still maturing, so SQLite compatibility needs verifying against your specific pragmas, extensions and query patterns; the cloud already restricts journal_mode and busy_timeout and makes user_version read-only.

Pricing, plan by plan

dbt

Free
  • DeveloperFree
  • Starter$100/seat/month
  • Enterprise$undefined/mo
  • Enterprise+$undefined/mo

Turso

Free
  • FreeFree
    • 100 databases
    • 5 GB storage
    • 500M monthly rows read
  • Developer$4.99/month
    • Unlimited databases
    • 9 GB storage
    • 2.5B monthly rows read
  • Scaler$24.92/month
    • Unlimited databases
    • 24 GB storage
    • 100B monthly rows read
  • Pro$416.58/month
    • Unlimited databases
    • 50 GB storage
    • 250B monthly rows read

Which should you pick?

Choose dbt if

  • You want to start without paying.
  • You work on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).

Choose Turso if

  • You need per-tenant databases.
  • You want to start without paying.
  • You also want mit licence.

Questions people ask

Is dbt or Turso better?
Neither clearly leads. dbt starts at Free and Turso at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, dbt or Turso?
dbt starts at Free and Turso at Free.
Does dbt or Turso run on more platforms?
dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf). Turso runs on Web.
Can I use dbt for free?
Both have a free tier, so you can try either at no cost before committing.
What is dbt best used for?
dbt is most often used for data warehouse transformation and elt pipelines, analytics engineering for reporting and business intelligence, data quality testing and validation at scale, cross-functional data collaboration with version control. Of those, data warehouse transformation and elt pipelines and analytics engineering for reporting and business intelligence are not what Turso is typically brought in for.
What can dbt do that Turso cannot?
Turso covers Per-tenant databases, MIT licence, Embedded replicas, SQLite compatibility.

Answered from the vendors’ own pages

dbt: How much does dbt cost?

dbt Developer is free. dbt Starter is $100/seat/month with a 5-seat minimum (or custom annual billing). Enterprise and Enterprise+ have custom pricing and require contacting sales.

Source
Turso: Is Turso just hosted SQLite?

Not exactly. It hosts databases built on the SQLite lineage: libSQL, an MIT fork of SQLite, and Turso Database, a newer Rust rewrite. The platform adds branching, backups, an HTTP API and programmatic database creation.

dbt: What is included in the free Developer plan?

The Developer plan is free and includes 1 developer seat, 3,000 successful models/month limit, 1 project, browser-based IDE, MFA, and job scheduling.

Source
Turso: Can I really run a million databases?

That is the design goal and the platform API exists to make provisioning and deletion programmatic. The practical constraints are the ones that come with it: migrations fan out, and nothing can query across databases.

dbt: What is the model limit on each plan?

Developer tier allows 3,000 successful models/month. Starter allows 15,000/month. Enterprise and Enterprise+ allow 100,000/month.

Source
Turso: How do embedded replicas handle read-after-write?

Reads come from the local replica and writes go to the primary, so a read immediately after a write can return stale data unless you wait for a sync. Application code has to account for that rather than assume it.

dbt: Can I upgrade or downgrade my dbt plan?

Yes. dbt allows you to 'upgrade or downgrade at any time.' Starter plans bill monthly by credit card based on seat count; Enterprise plans are annual invoicing.

Source
Turso: What licence is it under?

libSQL and Turso Database are both MIT. Turso Cloud is a commercial managed service built on them, so the engine is genuinely open even though the platform is not.

Turso: Is Turso still an edge database?

No. Data Edge, the multi-region edge replication feature, is deprecated. The current positioning is per-tenant and embedded databases, and older material describing edge replication is out of date.

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