Developer Tools · head to head
Dagger vs Estuary
Dagger
Developer Tools
Programmable CI/CD engine that runs your pipeline as containers on any runner
- From
- Free
- Free plan
- Yes
Estuary
Databases
Real-time data integration combining streaming, CDC, and batch
- From
- Free
- Free plan
- Yes
The short version
- Free plans on both; paid from $50/mo and $0.5/mo.
- Only Dagger lists pipelines as code; only Estuary lists real-time data delivery.
- Where Estuary falls short: Per-GB pricing adds up quickly for high-volume scenarios.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and Estuary 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 Estuary
- Real-time data delivery
- Change data capture
- Batch processing
- Data transformation
- Pre-built connectors
- Multiple deployments
- RBAC and monitoring
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 Estuary
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Estuary
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Estuary
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Estuary
Estuary
- Real-time data replication to data warehousesnot Dagger
- Change data capture from operational databasesnot Dagger
- Feeding analytics and BI systems with fresh datanot Dagger
- Powering real-time AI and ML data pipelinesnot 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
Estuary
- Per-GB pricing adds up quickly for high-volume scenarios
- No transparent per-connector volume discounts below 6 connectors
- Limited to data movement; transformation capabilities are basic
- BYOC and private deployment requires enterprise plan
- Smaller ecosystem compared to established alternatives
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
Estuary
Free- DeveloperFree
- 10 GB per month
- 2 connector instances maximum
- No credit card required
- Cloud$0.5/gb
- $0.50 per GB of data moved
- $100 per connector monthly (6+ connectors $50 each)
- 200+ connectors
- EnterpriseOn request
- Volume-based discounts
- SOC 2 and HIPAA compliance
- SSO authentication
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 Estuary if
- You need real-time data delivery.
- You want to start without paying.
- You work on Web, BYOC.
- You also want change data capture.
Questions people ask
- Is Dagger or Estuary better?
- Neither clearly leads. Dagger starts at Free and Estuary at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or Estuary?
- Dagger starts at Free and Estuary at Free.
- Does Dagger or Estuary run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. Estuary runs on Web, BYOC.
- 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 Estuary is typically brought in for.
- What can Dagger do that Estuary cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules. Estuary covers Real-time data delivery, Change data capture, Batch processing, Data transformation.
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.
Estuary: What is included in the free Developer plan?
Developer plan ($0/month) includes 10 GB of data per month and up to 2 connector instances, no credit card required.
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.
Estuary: How is data pricing calculated on Cloud plan?
Cloud plan charges $0.50 per GB of data moved plus $100/month per connector for the first 6 connectors, then $50/month for additional connectors.
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.
Estuary: What discount is available when adding 6+ connectors?
When using 6 or more connectors, the per-connector cost drops to $50/month from $100/month, saving $50 per additional connector.
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.
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- Estuary vs GitLab
- Estuary vs ConfigCat
- Estuary vs Cortex
- Estuary vs Deep Code
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- Estuary vs Envoy
- Estuary vs Fig
- Estuary vs Docker
- Estuary vs Kubernetes
- Estuary vs Fivetran HVR
- Estuary vs Apache Druid
- Estuary vs ClickHouse
- Estuary vs Materialize
- Estuary vs Redis
- Estuary vs Firebase Realtime Database
- Estuary vs SingleStore
- Estuary vs Tinybird
- Estuary vs Timeplus
- Estuary vs Amazon Redshift
- Estuary vs DataGrip
- Estuary vs Firebolt
- Estuary vs Apache Pinot
- Estuary vs Apache Flink
- Estuary vs Apache Kafka
- Estuary vs Apache Pulsar
- Estuary vs Cassandra
- Estuary vs CouchDB