Developer Tools · head to head
Dagger vs MongoDB Atlas

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

MongoDB Atlas
Technology
The multi-cloud developer data platform
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: 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.; MongoDB Atlas m0 free tier limited to learning and exploration only with no backup capability
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dagger and MongoDB Atlas actually diverge.
| Attribute | Dagger | MongoDB Atlas |
|---|---|---|
| Pricing model | Per month per team for Dagger Cloud | usage-based |
| Platforms | Linux, macOS, Windows, Self-hosted | Web |
| Category | Developer Tools | Technology |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 MongoDB Atlas
Nothing recorded that Dagger does not also cover.
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 MongoDB Atlas
- An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot MongoDB Atlas
- A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot MongoDB Atlas
- A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot MongoDB Atlas
MongoDB Atlas
- Building applications with flexible JSON document storagenot Dagger
- Performing full-text and vector search on unstructured datanot Dagger
- Scaling multi-cloud deployments across AWS, Azure, GCPnot Dagger
- Streaming event data integration with Kafkanot 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.
MongoDB Atlas
- M0 free tier limited to learning and exploration only with no backup capability
- Data transfer egress charges apply at 0.12 USD/GB for dedicated clusters; inbound free
- MongoDB Search and Vector Search add significant per-hour costs starting at 0.12 USD/hour
Pricing, plan by plan
Dagger
Free- IndividualFree
- One user
- One million events per month
- Workflow logs and function call traces
- Team$50/month
- Up to ten users
- Ten million events per month
- Module insights and module catalogue
- Enterprise$undefined/year
- Custom user and event limits
- SSO
- Managed single-tenant deployment
MongoDB Atlas
Free- M0 (Free Tier)Free
- 512 MB storage
- Shared RAM and vCPU
- No backups
- Flex Tier$0.011/hour
- 5 GB storage
- Shared RAM and vCPU
- Pay-as-you-go hourly billing
- M2 Shared$9/month
- 2 GB storage
- Shared RAM and vCPU
- M5 Shared$25/month
- 5 GB storage
- Shared RAM and vCPU
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.
Questions people ask
- Is Dagger or MongoDB Atlas better?
- Neither clearly leads. Dagger starts at Free and MongoDB Atlas at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagger or MongoDB Atlas?
- Dagger starts at Free and MongoDB Atlas at Free.
- Does Dagger or MongoDB Atlas run on more platforms?
- Dagger runs on Linux, macOS, Windows, Self-hosted. MongoDB Atlas 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 MongoDB Atlas is typically brought in for.
- What can Dagger do that MongoDB Atlas cannot?
- Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules.
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.
MongoDB Atlas: How much does MongoDB Atlas cost?
MongoDB Atlas offers a free M0 tier with 512 MB storage, Flex tier at approximately 8-30 USD/month with pay-per-hour billing, shared clusters at 9-25 USD/month, and dedicated clusters from 56.94 USD/month. Add-on services like MongoDB Search cost 0.12-3.27 USD/hour.
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.
MongoDB Atlas: Is there a free tier?
Yes, MongoDB Atlas M0 free tier offers 512 MB storage with shared resources, suitable for learning and exploration. Flex tier allows pay-as-you-go usage starting at 0.011 USD/hour.
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.
MongoDB Atlas: What are the data transfer limits?
Inbound data transfer is typically free; egress from dedicated clusters costs 0.12 USD/GB. Free and Flex tiers do not incur data transfer charges.
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.
MongoDB Atlas: What backup options are available?
M0 free tier and Flex tier do not include backups. Dedicated clusters M10 and above include backup services with region and snapshot storage-based pricing.
SourceRelated pages
More on MongoDB Atlas
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