Developer Tools · head to head
Earthly vs etcd
etcd
Technology
A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.
- From
- On request
- Free plan
- No
The short version
- Only Earthly has a free tier, so it costs nothing to try first.
- Each has a real cost: Earthly pricing model not published; requires sales contact; etcd it is sized for coordination data, not application data: the default backend quota is 2 GB and 8 GB is the documented recommended maximum, and exceeding it puts the cluster into a NOSPACE alarm where it accepts no writes until an operator compacts, defragments and clears the alarm by hand.
- They diverge on capability: Earthly covers Policy as code, etcd covers Raft consensus.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Earthly and etcd actually diverge.
Identical on both: 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 Earthly
- Policy as code
- Multi-stage enforcement
- AI agent governance
- Repository-wide policies
- Incident response automation
- Compliance management
- Earthfiles build tool
- Satellites
Only in etcd
- Raft consensus
- Linearizable reads
- Transactions
- Leases
- Watches
- MVCC revision history
- Role-based access control
- Snapshot backup and restore
What people use each for
The jobs each tool is most often brought in to do.
Earthly
- Enforcing engineering standards across AI and human developersnot etcd
- Automating incident response procedures across all repositoriesnot etcd
- Embedding compliance requirements into development workflowsnot etcd
- Standardizing build processes with Earthfilesnot etcd
etcd
- Storing Kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doingnot Earthly
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Earthly
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Earthly
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Earthly
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Earthly
- Pricing model not published; requires sales contact
- Earthly Lunar is a recent launch (2025) with limited track record
- Primarily GitHub-focused; limited integration with other platforms
- No public documentation on pricing or feature tiers
etcd
- It is sized for coordination data, not application data: the default backend quota is 2 GB and 8 GB is the documented recommended maximum, and exceeding it puts the cluster into a NOSPACE alarm where it accepts no writes until an operator compacts, defragments and clears the alarm by hand.
- Every write is replicated and fsynced before acknowledgement, so cluster performance is bounded by the slowest disk in it; a member on network-attached storage with high fsync latency causes leader elections and cluster-wide latency spikes that look like network problems and are not.
- Adding members increases availability but reduces write throughput, because each write must reach a larger quorum; you run three or five members for fault tolerance, and increasing capacity means faster hardware rather than more nodes.
- There is no sharding and no multi-tenancy, so isolating workloads means running separate clusters, each with its own quorum, certificates, backup schedule and upgrade path, and that operational multiplication is often unexpected.
- Running it yourself is a real job: periodic compaction and defragmentation, snapshot backups you have actually rehearsed restoring, and rotation of both peer and client TLS certificates, none of which happens automatically outside a managed Kubernetes service.
- Losing quorum is not self-healing; recovering a cluster that has lost a majority means restoring from a snapshot and accepting that everything written since that snapshot is gone, which makes backup frequency a data-loss budget decision rather than a routine setting.
Pricing, plan by plan
Earthly
FreeNo published plan breakdown. See the Earthly review.
etcd
On requestNo published plan breakdown. See the etcd review.
Which should you pick?
Choose Earthly if
- You need policy as code.
- You want to start without paying.
- You work on Web, CLI.
- You also want multi-stage enforcement.
Questions people ask
- Is Earthly or etcd better?
- Neither clearly leads. Earthly starts at Free and etcd at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Earthly or etcd?
- Earthly has a free tier; the other does not. Paid plans start at Free for Earthly and On request for etcd.
- Does Earthly or etcd run on more platforms?
- Earthly runs on Web, CLI. etcd runs on Web.
- Can I use Earthly for free?
- Yes. Earthly has a free tier, so you can try it without paying. etcd starts at On request.
- What is Earthly best used for?
- Earthly is most often used for enforcing engineering standards across ai and human developers, automating incident response procedures across all repositories, embedding compliance requirements into development workflows, standardizing build processes with earthfiles. Of those, enforcing engineering standards across ai and human developers and automating incident response procedures across all repositories are not what etcd is typically brought in for.
- What can Earthly do that etcd cannot?
- Earthly covers Policy as code, Multi-stage enforcement, AI agent governance, Repository-wide policies. etcd covers Raft consensus, Linearizable reads, Transactions, Leases.
Answered from the vendors’ own pages
Earthly: What is the difference between Earthfiles and Earthly Lunar?
Earthfiles is an open-source build tool that reached 12,000 GitHub stars and is used by companies like NVIDIA, Intel, and Databricks. Earthly Lunar is a separate governance platform launched in 2025 for enforcing standards across development workflows.
Sourceetcd: Can I use etcd as an application database?
No. It is designed for metadata and coordination, with a recommended maximum store size of around 8 GB, no sharding and a write path deliberately optimised for durability rather than throughput. Application data belongs in a database built for it.
Earthly: How does Earthly Lunar enforce standards?
Lunar converts engineering standards, compliance requirements, and processes documented in AGENTS.md files, wikis, and incident postmortems into enforceable guardrails that apply consistently across repositories and development stages.
Sourceetcd: How many members should a cluster have?
Three for most cases, five where you need to survive two simultaneous failures. Always an odd number, because an even-sized cluster gains no additional fault tolerance while making quorum harder to reach.
Earthly: What is the pricing for Earthly Lunar?
Pricing is not published on the website. Interested customers should contact Earthly's sales team for current pricing and feature tiers.
Sourceetcd: What happens when the store fills up?
The cluster raises a NOSPACE alarm and stops accepting writes, becoming effectively read-only. Recovery requires compacting old revisions, defragmenting each member and then explicitly disarming the alarm, all done by an operator.
etcd: Why is my etcd cluster slow or unstable?
Almost always disk latency. Because every write is fsynced before acknowledgement, slow or shared storage causes heartbeat timeouts, leader elections and cascading latency. Local SSDs with low fsync latency are effectively a requirement.
etcd: How does it compare with Consul or ZooKeeper?
All three provide consensus-backed coordination. etcd has the simplest data model and the Kubernetes ecosystem behind it; Consul bundles service discovery, health checking and a service mesh; ZooKeeper is older, JVM-based and still common under Kafka and Hadoop-era systems.
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- etcd vs Garden
- etcd vs Nx Cloud
- etcd vs Cody
- etcd vs ConfigCat
- etcd vs Cortex
- etcd vs Deep Code
- etcd vs Deno
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- etcd vs Asana
- etcd vs ClickUp
- etcd vs Figma
- etcd vs Istio
- etcd vs MongoDB
- etcd vs Finxact
- etcd vs Sentry
- etcd vs Trino
- etcd vs Jenkins
- etcd vs Apache Hadoop
- etcd vs Height
- etcd vs Raycast
- etcd vs Superhuman
- etcd vs Vim
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- etcd vs Apache Spark