Technology · head to head
etcd vs Restate
etcd
Technology
A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.
- From
- On request
- Free plan
- No
Restate
Developer Tools
Durable execution engine in Rust with a free tier and low-latency workflows
- From
- Free
- Free plan
- Yes
The short version
- Only Restate 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.; Restate the runtime is under a Business Source Licence rather than an open source licence, so building a competing managed offering on it is prohibited and some procurement functions will reject it on licence grounds alone.
- They diverge on capability: etcd covers Raft consensus, Restate covers Durable execution.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which etcd and Restate 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 Restate
- Durable execution
- Virtual objects
- Single binary runtime
- Multi-language SDKs
- Workflows and sagas
- Restate Cloud
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 Restate
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Restate
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Restate
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Restate
Restate
- Payment or order flows where a crash between two external API calls must not double-charge or lose the ordernot etcd
- AI agent loops that call tools over minutes or hours and must survive a deployment mid-runnot etcd
- Replacing hand-rolled retry, idempotency key and outbox code across a set of microservicesnot etcd
- A small team that wants durable workflows without operating a Temporal cluster and its databasenot 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.
Restate
- The runtime is under a Business Source Licence rather than an open source licence, so building a competing managed offering on it is prohibited and some procurement functions will reject it on licence grounds alone.
- Restate Cloud jumps from a free fifty thousand actions straight to 300 US dollars a month for twenty million, so a workload sitting at a few hundred thousand actions pays enterprise-shaped money for hobby-shaped volume.
- It is a young project against Temporal’s established base, so hiring engineers who already know it is unrealistic and the answer to most questions is in the docs rather than on Stack Overflow.
- The programming model requires structuring code around durable handlers and virtual objects, which is a genuine rewrite for existing services rather than a library you add.
- The single-binary simplicity that makes small deployments cheap also means fewer operational knobs at very large scale than a system designed as separable components.
Pricing, plan by plan
etcd
On requestNo published plan breakdown. See the etcd review.
Restate
Free- FreeFree
- Fifty thousand durable actions per month
- No credit card required
- Community support
- Starter$300/month
- Twenty million actions per month
- Two hundred actions per second, bursting to one thousand
- Twenty GB storage
- Pro$1000/month
- Fifty million actions per month
- Five hundred actions per second, bursting to two thousand
- Fifty GB storage
- Enterprise$undefined/year
- Negotiated volume
- Twenty-four seven P0 support
- 99.99 per cent SLA
Which should you pick?
Choose Restate if
- You need durable execution.
- You want to start without paying.
- You work on Linux, macOS, Web.
- You also want virtual objects.
Questions people ask
- Is etcd or Restate better?
- Neither clearly leads. etcd starts at On request and Restate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, etcd or Restate?
- Restate has a free tier; the other does not. Paid plans start at On request for etcd and Free for Restate.
- Does etcd or Restate run on more platforms?
- etcd runs on Web. Restate runs on Linux, macOS, Web.
- Can I use Restate for free?
- Yes. Restate 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 Restate is typically brought in for.
- What can etcd do that Restate cannot?
- etcd covers Raft consensus, Linearizable reads, Transactions, Leases. Restate covers Durable execution, Virtual objects, Single binary runtime, Multi-language SDKs.
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.
Restate: Is Restate open source?
The SDKs are MIT. The runtime is under a Business Source Licence, which permits self-hosting but not offering it as a competing service.
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.
Restate: How does it compare with Temporal?
Same problem, different shape: one Rust binary with embedded storage instead of a server plus database plus workers, and lower per-step latency.
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.
Restate: Is there a free tier?
Yes, fifty thousand durable actions a month on Restate Cloud with no card required.
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.
Restate: Which languages are supported?
TypeScript, Java, Kotlin, Go, Python and Rust.
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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