Developer Tools · head to head
Dagger vs Firestore

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

Firestore
Databases
Flexible, scalable NoSQL cloud database from Firebase
- From
- Free
- Free plan
- Yes
The short version
- Firestore is free; Dagger starts at $50/mo.
- Only Dagger lists pipelines as code; only Firestore lists document Model.
- Where Firestore falls short: the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Dagger and Firestore actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Dagger.
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 Firestore
- Document Model
- Real-time Updates
- Offline Support
- ACID Transactions
- Expressive Queries
- Multi-region
- Security Rules
- Firebase Auth
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 Firestore
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Firestore
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Firestore
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Firestore
Firestore
- Storing structured application data with realtime listenersnot Dagger
- Backing mobile and web apps with a serverless document databasenot Dagger
- Building offline first apps that sync when connectivity returnsnot 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
Firestore
- The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
- The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
- Charging is per document read, so a query returning many documents bills for every one of them
- Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling
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
Firestore
Free- SparkFree
- 1GB storage
- 50K reads/day
- 20K writes/day
- BlazeFree
- Pay as you go
- Unlimited operations
- Multi-region
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 Firestore if
- You need document model.
- You want to start without paying.
- You work on Web, iOS, Android, Flutter.
- You also want real-time updates.
Questions people ask
- Is Dagger or Firestore better?
- Neither clearly leads. Dagger starts at Free and Firestore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Firestore?
- Dagger starts at Free and Firestore at Free.
- Does Dagger or Firestore run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Firestore runs on Web, iOS, Android, Flutter.
- 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 Firestore is typically brought in for.
- What can Dagger do that Firestore cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions.
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.
Firestore: What are the free limits on Cloud Firestore?
The Spark Plan includes 1 GiB of stored data, 50,000 reads per day, 20,000 writes per day, and 20,000 deletes per day at no cost.
SourceDagger: 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.
Firestore: What happens when I exceed the Spark Plan free tier?
Exceeding the free tier requires upgrading to the Blaze Plan, which bills based on actual usage through Google Cloud pricing. Charges apply for reads, writes, deletes, and data storage.
SourceDagger: 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.
Firestore: Can I use Firestore without a credit card?
Yes, you can use the Spark Plan indefinitely without a credit card. To use the Blaze Plan (pay-as-you-go), a credit card is required.
SourceDagger: 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.
Firestore: Is there a trial period for Cloud Firestore?
No trial period is specified. The Spark Plan free tier serves as the trial, with no time limit.
SourceRelated pages
Other head to heads
- Dagger vs Earthly
- Dagger vs Buildkite
- Dagger vs Tilt
- Dagger vs Nixpacks
- Dagger vs Depot
- Dagger vs Blacksmith
- Dagger vs Jenkins
- Dagger vs WarpBuild
- Dagger vs Cloud Native Buildpacks
- Dagger vs GitLab
- Dagger vs ConfigCat
- Dagger vs Cortex
- Dagger vs Deep Code
- Dagger vs Deno
- Dagger vs Envoy
- Dagger vs Fig
- Dagger vs Docker
- Dagger vs Kubernetes
- Dagger vs MongoDB
- Dagger vs Couchbase
- Dagger vs CouchDB
- Dagger vs RavenDB
- Dagger vs Supabase
- Dagger vs Estuary
- Dagger vs ArangoDB
- Dagger vs ClickHouse
- Dagger vs Redis
- Dagger vs DataGrip
- Dagger vs Firebolt
- Dagger vs Microsoft SQL Server
- Dagger vs QuestDB
- Dagger vs Vitess
- Dagger vs Apache Pinot
- Dagger vs Apache Kafka
- Dagger vs Apache Druid
- Dagger vs Cassandra
- Firestore vs Earthly
- Firestore vs Buildkite
- Firestore vs Tilt
- Firestore vs Nixpacks
- Firestore vs Depot
- Firestore vs Blacksmith
- Firestore vs Jenkins
- Firestore vs WarpBuild
- Firestore vs Cloud Native Buildpacks
- Firestore vs GitLab
- Firestore vs ConfigCat
- Firestore vs Cortex
- Firestore vs Deep Code
- Firestore vs Deno
- Firestore vs Envoy
- Firestore vs Fig
- Firestore vs Docker
- Firestore vs Kubernetes
- Firestore vs MongoDB
- Firestore vs Couchbase
- Firestore vs CouchDB
- Firestore vs RavenDB
- Firestore vs Supabase
- Firestore vs Estuary
- Firestore vs ArangoDB
- Firestore vs ClickHouse
- Firestore vs Redis
- Firestore vs DataGrip
- Firestore vs Firebolt
- Firestore vs Microsoft SQL Server
- Firestore vs QuestDB
- Firestore vs Vitess
- Firestore vs Apache Pinot
- Firestore vs Apache Kafka
- Firestore vs Apache Druid
- Firestore vs Cassandra
