Technology · head to head
etcd vs Hookdeck
etcd
Technology
A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.
- From
- On request
- Free plan
- No
Hookdeck
Developer Tools
Event gateway that receives, queues, retries and replays inbound webhooks
- From
- Free
- Free plan
- Yes
The short version
- Only Hookdeck 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.; Hookdeck pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries.
- They diverge on capability: etcd covers Raft consensus, Hookdeck covers Ingest and persist.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which etcd and Hookdeck 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 Hookdeck
- Ingest and persist
- Automatic retries
- Filters and fan-out
- Transformations
- Local development CLI
- Rate limiting
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 Hookdeck
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Hookdeck
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Hookdeck
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Hookdeck
Hookdeck
- A payments integration where losing a Stripe event during a deploy causes an order to go unfulfillednot etcd
- Fanning one provider webhook out to several internal services without each subscribing separatelynot etcd
- Debugging a partner integration by replaying the exact failing payload after shipping a fixnot etcd
- Receiving production-shaped webhooks on a developer laptop without running a public tunnelnot 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.
Hookdeck
- Pricing meters delivered events, so fan-out multiplies the bill: one inbound event routed to four services counts as four deliveries.
- Free-tier retention is three days, which is shorter than the time it typically takes to notice a failing integration, so the payloads needed for a replay are often already gone.
- It becomes a single point of failure in front of every third-party integration, and an outage there means every provider webhook queues or fails at once.
- The transformation layer runs JavaScript in a constrained environment, so anything that needs a database lookup or an external call has to happen downstream instead.
- For a team already running Kafka or SQS the value is mostly the console and the replay UI, which is a hard cost to justify against infrastructure they already operate.
Pricing, plan by plan
etcd
On requestNo published plan breakdown. See the etcd review.
Hookdeck
Free- DeveloperFree
- Up to ten thousand events per month
- Three-day retention
- One user
- Team$39/month
- Ten thousand events included
- Unlimited users
- Pay as you go metering above the included events
- Growth$499/month
- Ten thousand events included plus metered usage
- Thirty-day retention
- Uptime and latency SLAs
- Enterprise$undefined/year
- Negotiated event volume
- Custom retention
- Dedicated support
Which should you pick?
Choose Hookdeck if
- You need ingest and persist.
- You want to start without paying.
- You work on Web, Linux, macOS, Windows.
- You also want automatic retries.
Questions people ask
- Is etcd or Hookdeck better?
- Neither clearly leads. etcd starts at On request and Hookdeck at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, etcd or Hookdeck?
- Hookdeck has a free tier; the other does not. Paid plans start at On request for etcd and Free for Hookdeck.
- Does etcd or Hookdeck run on more platforms?
- etcd runs on Web. Hookdeck runs on Web, Linux, macOS, Windows.
- Can I use Hookdeck for free?
- Yes. Hookdeck 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 Hookdeck is typically brought in for.
- What can etcd do that Hookdeck cannot?
- etcd covers Raft consensus, Linearizable reads, Transactions, Leases. Hookdeck covers Ingest and persist, Automatic retries, Filters and fan-out, Transformations.
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.
Hookdeck: Is there a free plan?
Yes, ten thousand events a month with three-day retention and one user.
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.
Hookdeck: How is usage counted?
By delivered events, so a single inbound webhook fanned out to three destinations counts as three.
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.
Hookdeck: Can I replay a failed webhook?
Yes, individually or in bulk from the console, with the original payload.
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.
Hookdeck: Does it work for outbound webhooks too?
Yes, the same queueing, retry and observability applies to webhooks you send.
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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