Developer Tools · head to head
Dagger vs Turso

Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Free plan
- Yes

Turso
Databases
SQLite-lineage database platform for running very large numbers of small per-tenant databases, with an MIT-licensed engine.
- From
- Free
- Free plan
- Yes
The short version
- Free plans on both; paid from $50/mo and $4.99/mo.
- Only Dagger lists pipelines as code; only Turso lists per-tenant databases.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Dagger and Turso actually diverge.
Identical on both: starting price (Free), free tier (Yes).
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 Dagger
- Pipelines as code
- Local and CI parity
- Content-addressed caching
- Dagger Functions and modules
- CI-provider agnostic
- Dagger Cloud traces
- GitHub Checks integration
- Container-native execution
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.
Dagger
- A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Turso
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Turso
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Turso
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Turso
Turso
- Multi-tenant SaaS where each customer gets their own database for real isolation, per-tenant restore and clean deletionnot Dagger
- Agent or session infrastructure that creates a throwaway database per task and destroys it afterwardsnot Dagger
- Local-first and offline-capable applications where an embedded replica serves reads at file speed and syncs when connectivity returnsnot Dagger
- Embedding a SQLite-compatible engine in a product where the public domain original's closed contribution model is a problemnot Dagger
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dagger
- Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it
- Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK
- The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work
- The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front
- The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function
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
Dagger
Free- IndividualFree
- One user
- One million events per month
- Workflow logs and function call traces
- Team$50/mo
- Up to ten users
- Ten million events per month
- Module insights and module catalogue
- EnterpriseOn request
- Custom user and event limits
- SSO
- Managed single-tenant deployment
Turso
Free- FreeFree
- 100 databases
- 5 GB storage
- 500M monthly rows read
- Developer$4.99/mo
- Unlimited databases
- 9 GB storage
- 2.5B monthly rows read
- Scaler$24.92/mo
- Unlimited databases
- 24 GB storage
- 100B monthly rows read
- Pro$416.58/mo
- Unlimited databases
- 50 GB storage
- 250B monthly rows read
Which should you pick?
Choose Dagger if
- You need pipelines as code.
- You want to start without paying.
- You work on Linux, macOS, Windows, Self-hosted.
- You also want local and ci parity.
Choose Turso if
- You need per-tenant databases.
- You want to start without paying.
- You also want mit licence.
Questions people ask
- Is Dagger or Turso better?
- Neither clearly leads. Dagger 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, Dagger or Turso?
- Dagger starts at Free and Turso at Free.
- Does Dagger or Turso run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Turso runs on Web.
- Can I use Dagger for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dagger best used for?
- Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Turso is typically brought in for.
- What can Dagger do that Turso cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Turso covers Per-tenant databases, MIT licence, Embedded replicas, SQLite compatibility.
Answered from the vendors’ own pages
Dagger: Does Dagger replace GitHub Actions?
No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.
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.
Dagger: Is the engine open source?
Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.
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.
Dagger: What is an event in the pricing?
Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.
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.
Dagger: Can I run the same pipeline on my laptop?
Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.
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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- Turso vs Nixpacks
- Turso vs Depot
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- Turso vs Cloud Native Buildpacks
- Turso vs GitLab
- Turso vs ConfigCat
- Turso vs Cortex
- Turso vs Deep Code
- Turso vs Deno
- Turso vs Envoy
- Turso vs Fig
- Turso vs Docker
- Turso vs Kubernetes
- Turso vs SurrealDB
- Turso vs MotherDuck
- Turso vs EMQX
- Turso vs DuckDB
- Turso vs Trino
- Turso vs Nile
- Turso vs SQLite
- Turso vs Teradata
- Turso vs Apache Kafka
- Turso vs BigQuery
- Turso vs Typesense
- Turso vs Apache Spark
- Turso vs IBM Db2
- Turso vs Instaclustr
- Turso vs Knack
- Turso vs LanceDB
- Turso vs Marqo
- Turso vs MongoDB
