Dagger

Dagger takes the pipeline out of YAML and puts it into a general-purpose programming language. You define build, test and deploy steps as functions using an SDK in Go, Python, TypeScript, PHP or Java; Dagger compiles them into a directed acyclic graph of containerised operations and executes them through a BuildKit-based engine with aggressive content-addressed caching. The same code runs on a developer laptop and inside GitHub Actions, GitLab CI or Jenkins. The distinguishing property is that it is deliberately not a CI provider. Dagger has no hosted runners, no repository triggers and no build queue. It is a portable execution layer you invoke from whatever CI you already pay for, which means the pipeline stops being coupled to that vendor. That is the commercial argument: you can change CI provider without rewriting pipelines, and you can reproduce a failing CI run on your own machine instead of pushing commits to debug. The paid product, Dagger Cloud, sells observability over those runs rather than compute. Buyers are platform and DevOps teams at companies large enough to feel YAML sprawl across many repositories, and teams who have been burned by CI runs that cannot be reproduced locally. The trade-off is that you are adding a layer, not removing one: you still pay your CI provider, you still maintain runners, and your engineers must learn a container-graph model plus an SDK before they can debug the thing that builds everything.

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  Daggervs

  

  Earthly

  Earthly: If you want repeatable containerised builds with a Makefile-like syntax rather than a general-purpose programming language

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  Daggervs

  

  GitHub Actions

  GitHub Actions: If you want triggers, hosted runners and a large marketplace in one product and can accept YAML and vendor coupling

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  Daggervs

  

  Buildkite

  Buildkite: If you want to keep your own compute but let a hosted control plane handle orchestration and pipeline visibility