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Developer Tools · head to head

Garden vs Longhorn

Garden logo

Garden

Developer Tools

Kubernetes development and testing automation with shared caching, now owned by Incredibuild

From
Free
Free plan
Yes
Longhorn logo

Longhorn

Cloud

Open source distributed block storage for Kubernetes, incubating at the CNCF

From
Free
Free plan
Yes

The short version

  • Each has a real cost: Garden incredibuild acquired Garden in November 2024 and the pricing page now redirects to documentation, so there is no public commercial offer and no published roadmap for a team betting a platform on it.; Longhorn there is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.
  • They diverge on capability: Garden covers Action graph, Longhorn covers Per-volume controllers.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Garden and Longhorn actually diverge.

Attributes where Garden and Longhorn differ
AttributeGardenLonghorn
PlatformsLinux, macOS, Windows, KubernetesLinux, Kubernetes
CategoryDeveloper ToolsCloud

Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 Garden

  • Action graph
  • Shared result caching
  • Remote Kubernetes environments
  • In-cluster builds
  • Same config everywhere
  • Hot reload sync
  • Helm and Kustomize support
  • Templating

Only in Longhorn

  • Per-volume controllers
  • Synchronous replication
  • Snapshots and backups
  • Volume expansion
  • Disaster recovery volumes
  • Web interface

What people use each for

The jobs each tool is most often brought in to do.

Garden

  • A platform team whose integration test suite takes longer than the coffee break and needs caching to cut the loopnot Longhorn
  • An organisation with thirty or more services on Kubernetes where docker-compose no longer approximates productionnot Longhorn
  • Giving every developer an ephemeral namespace instead of queuing for one shared staging environmentnot Longhorn
  • Running the identical build and test definition locally and in CI so failures reproduce on a laptopnot Longhorn

Longhorn

  • An on-premises Kubernetes cluster with local disks and no SAN that needs replicated persistent volumesnot Garden
  • Edge sites where shipping a storage array is impractical and three nodes is the whole clusternot Garden
  • A K3s deployment where the storage layer must be light enough to run alongside the workloadsnot Garden
  • A team that wants snapshots and S3 backups of persistent volumes without paying per-node storage licencesnot Garden

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Garden

  • Incredibuild acquired Garden in November 2024 and the pricing page now redirects to documentation, so there is no public commercial offer and no published roadmap for a team betting a platform on it.
  • It is tightly bound to Kubernetes, so teams running on ECS, Nomad, plain VMs or serverless get little from it and would need a different tool entirely.
  • The YAML action graph is a real configuration surface: a large monorepo needs someone to own and maintain Garden config as a first-class artefact, which is a standing platform-engineering cost.
  • Shared remote environments mean every developer needs cluster access and a cost allocation model, so cloud spend rises and namespace sprawl becomes a thing you have to police.
  • Caching correctness depends on declaring dependencies accurately; an under-declared action will serve a stale cached pass and hide a genuine test failure, which is a hard class of bug to notice.

Longhorn

  • There is no vendor and no SLA, so a production incident at three in the morning is your own problem unless you buy SUSE Rancher Prime support separately.
  • Synchronous replication across nodes means write latency depends on the slowest replica and the network between nodes, which makes it a poor fit for latency-sensitive databases.
  • Every replica is a full copy, so three-way replication consumes three times the raw capacity, unlike erasure-coded systems that are far more space efficient.
  • It is designed for block storage on modest clusters and does not scale to the node counts or throughput that Ceph or a commercial array handles, so growth eventually forces a migration.
  • Recovery from certain degraded states, such as a volume stuck detaching or replicas failing to rebuild, requires manual intervention and knowledge of Longhorn internals that is not widely held.

Pricing, plan by plan

Garden

Free
  • Garden open sourceFree
    • Apache 2.0 licensed CLI
    • Full action graph and caching
    • Self-managed clusters
  • Commercial tier$undefined/year
    • Hosted caching and team features
    • Support and onboarding
    • Pricing no longer published since the Incredibuild acquisition

Longhorn

Free
  • LonghornFree
    • Apache 2.0 licensed, no licence fee
    • Community support via GitHub and Slack only
    • No vendor SLA or escalation path

Which should you pick?

Choose Garden if

  • You need action graph.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Kubernetes.
  • You also want shared result caching.

Choose Longhorn if

  • You need per-volume controllers.
  • You want to start without paying.
  • You work on Linux, Kubernetes.
  • You also want synchronous replication.

Questions people ask

Is Garden or Longhorn better?
Neither clearly leads. Garden starts at Free and Longhorn at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Garden or Longhorn?
Garden starts at Free and Longhorn at Free.
Does Garden or Longhorn run on more platforms?
Garden runs on Linux, macOS, Windows, Kubernetes. Longhorn runs on Linux, Kubernetes.
Can I use Garden for free?
Both have a free tier, so you can try either at no cost before committing.
What is Garden best used for?
Garden is most often used for a platform team whose integration test suite takes longer than the coffee break and needs caching to cut the loop, an organisation with thirty or more services on kubernetes where docker-compose no longer approximates production, giving every developer an ephemeral namespace instead of queuing for one shared staging environment, running the identical build and test definition locally and in ci so failures reproduce on a laptop. Of those, a platform team whose integration test suite takes longer than the coffee break and needs caching to cut the loop and an organisation with thirty or more services on kubernetes where docker-compose no longer approximates production are not what Longhorn is typically brought in for.
What can Garden do that Longhorn cannot?
Garden covers Action graph, Shared result caching, Remote Kubernetes environments, In-cluster builds. Longhorn covers Per-volume controllers, Synchronous replication, Snapshots and backups, Volume expansion.

Answered from the vendors’ own pages

Garden: Is Garden still maintained?

The open source project remains on GitHub under Incredibuild ownership, but the commercial pricing page redirects to the docs and there is no public paid offer.

Longhorn: Who do we call when it breaks?

Nobody, unless you buy SUSE Rancher Prime, which includes commercial support for Longhorn. This is the decisive question for production use.

Garden: Do I need Kubernetes?

Effectively yes. Garden is built around Kubernetes environments and offers little to teams on other runtimes.

Longhorn: How much capacity does replication cost?

Full copies, so three replicas means three times the raw capacity. Budget accordingly rather than assuming erasure coding efficiency.

Garden: Does it replace my CI system?

No. It runs inside GitHub Actions, GitLab CI or similar and speeds up what those pipelines execute.

Longhorn: Is it suitable for production databases?

For modest workloads yes, but synchronous replication adds write latency and high-transaction databases usually want something faster.

Garden: What is the actual saving?

It comes from skipping builds and tests whose inputs have not changed, so the benefit scales with how many services you have and how often only a few change.

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