Technology · head to head
etcd vs Spacelift
etcd
Technology
A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.
- From
- On request
- Free plan
- No
Spacelift
Developer Tools
Infrastructure-as-code orchestration for Terraform, OpenTofu, Pulumi and Kubernetes
- From
- Free
- Free plan
- Yes
The short version
- Only Spacelift has a free tier, so it costs nothing to try first.
- Each has a real cost: 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.; Spacelift users are unlimited and private workers are metered, so deployment concurrency rather than headcount drives the bill, which inverts how most engineering budgets are built and is easy to under-forecast.
- They diverge on capability: etcd covers Raft consensus, Spacelift covers Multi-tool orchestration.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which etcd and Spacelift 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 etcd
- Raft consensus
- Linearizable reads
- Transactions
- Leases
- Watches
- MVCC revision history
- Role-based access control
- Snapshot backup and restore
Only in Spacelift
- Multi-tool orchestration
- Policy as code
- Private workers
- Spaces
- Blueprints
- Drift detection
What people use each for
The jobs each tool is most often brought in to do.
etcd
- Storing Kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doingnot Spacelift
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Spacelift
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Spacelift
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Spacelift
Spacelift
- Platform teams running infrastructure changes through approval gates rather than through application CInot etcd
- Organisations standardising Terraform and OpenTofu across many teams with policy enforcementnot etcd
- Estates needing private runners so cloud credentials never leave the networknot etcd
- Teams wanting drift detection and reconciliation rather than plan-time checks alonenot etcd
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Spacelift
- Users are unlimited and private workers are metered, so deployment concurrency rather than headcount drives the bill, which inverts how most engineering budgets are built and is easy to under-forecast.
- There is no affordable paid entry point. The free tier stops at two users and the next tier is a five-figure commitment with nothing in between.
- Three of the five tiers are quote-only, so a shortlist cannot be costed without entering a sales process with each vendor on it.
- The self-hosted build lags the hosted one, has no public worker pool and lacks the Azure and Google Cloud integrations available in the SaaS product, with OIDC federation offered as the workaround.
- Stacks, Rego policies, Blueprints, Spaces and Spacelift-managed state are proprietary constructs, so leaving means rebuilding the orchestration layer rather than pointing it at a different runner.
Pricing, plan by plan
etcd
On requestNo published plan breakdown. See the etcd review.
Spacelift
Free- FreeFree
- Two users
- Public workers only
- No private workers
- Starter Plus$undefined/year
- Unlimited users
- Two public workers
- One to two private workers
- Business$undefined/year
- Unlimited users
- Three private workers
- Quoted
- Enterprise$undefined/year
- Unlimited users
- Five to thirty private workers
- Self-hosted option
Which should you pick?
Choose Spacelift if
- You need multi-tool orchestration.
- You want to start without paying.
- You work on Web, Self-hosted, Cloud.
- You also want policy as code.
Questions people ask
- Is etcd or Spacelift better?
- Neither clearly leads. etcd starts at On request and Spacelift at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, etcd or Spacelift?
- Spacelift has a free tier; the other does not. Paid plans start at On request for etcd and Free for Spacelift.
- Does etcd or Spacelift run on more platforms?
- etcd runs on Web. Spacelift runs on Web, Self-hosted, Cloud.
- Can I use Spacelift for free?
- Yes. Spacelift has a free tier, so you can try it without paying. etcd starts at On request.
- What is etcd best used for?
- etcd is most often used for storing kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doing, leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactions, service discovery and dynamic configuration where readers need to be notified of changes rather than poll for them, coordinating failover in a clustered database, as patroni does for postgresql. Of those, storing kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doing and leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactions are not what Spacelift is typically brought in for.
- What can etcd do that Spacelift cannot?
- etcd covers Raft consensus, Linearizable reads, Transactions, Leases. Spacelift covers Multi-tool orchestration, Policy as code, Private workers, Spaces.
Answered from the vendors’ own pages
etcd: 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.
Spacelift: How is Spacelift priced?
By tier and by private worker count rather than per user. Users are unlimited on every paid plan. The published figure on the pricing page carries no period label, and the FAQ describes the tier as an annual subscription, so confirm the period in writing.
etcd: 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.
Spacelift: Does it support OpenTofu?
Yes, and Spacelift sponsors the OpenTofu project, which is a substantive hedge for anyone avoiding Terraform under the Business Source Licence.
etcd: 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.
Spacelift: Is there a self-hosted version?
Yes, described as carrying Enterprise functionality, but it is priced on request and lags the hosted product on cloud integrations.
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.
Spacelift: Why not just use the CI system we already have?
That is the real comparison. General purpose CI handles state, drift, approval gates and concurrency control for infrastructure poorly, and whether that is worth a five-figure floor depends on how much infrastructure change your organisation actually ships.
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.
Spacelift: What happens to our pipelines if we leave?
They do not port. Rego policies, Blueprints, Spaces and managed state are Spacelift constructs and the orchestration has to be rebuilt elsewhere.
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