Developer Tools · head to head
Deno vs etcd
Deno
Developer Tools
A fast, open-source, fully Node-compatible JS runtime with TypeScript baked right in
- From
- Free
- Free plan
- Yes
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 Deno has a free tier, so it costs nothing to try first.
- Each has a real cost: Deno egress bandwidth overage costs $0.20/GB which can become expensive for high-traffic applications; 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.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Deno and etcd actually diverge.
Identical on both: platforms (Web), 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 Deno
Nothing recorded that etcd does not also cover.
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.
Deno
- Running TypeScript natively without transpilation overheadnot etcd
- Migrating Node.js applications to secure-by-default runtimenot etcd
- Deploying edge functions and serverless containers seamlesslynot etcd
- Consolidating developer tools into single binarynot etcd
etcd
- Storing Kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doingnot Deno
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Deno
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Deno
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Deno
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Deno
- Egress bandwidth overage costs $0.20/GB which can become expensive for high-traffic applications
- CPU time overage is $0.10/hour on Pro and Builder tiers, adding to costs for compute-intensive workloads
- Enterprise pricing is not disclosed; 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.
- 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
Deno
Free- FreeFree
- 1 million requests/month
- 20GB egress bandwidth
- 10 apps
- Pro$20/month
- 5 million requests/month
- 200GB egress
- 50 apps
- Builder$200/month
- 25 million requests/month
- 2,000GB egress
- 10,000 apps
- Enterprise$null/month
- Custom limits on all metrics
- 99.95% reliability SLA
- Email support with SLA
etcd
On requestNo published plan breakdown. See the etcd review.
Which should you pick?
Questions people ask
- Is Deno or etcd better?
- Neither clearly leads. Deno 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, Deno or etcd?
- Deno has a free tier; the other does not. Paid plans start at Free for Deno and On request for etcd.
- Does Deno or etcd run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use Deno for free?
- Yes. Deno has a free tier, so you can try it without paying. etcd starts at On request.
- What is Deno best used for?
- Deno is most often used for running typescript natively without transpilation overhead, migrating node.js applications to secure-by-default runtime, deploying edge functions and serverless containers seamlessly, consolidating developer tools into single binary. Of those, running typescript natively without transpilation overhead and migrating node.js applications to secure-by-default runtime are not what etcd is typically brought in for.
- What can Deno do that etcd cannot?
- etcd covers Raft consensus, Linearizable reads, Transactions, Leases.
Answered from the vendors’ own pages
Deno: How much does Deno Deploy cost?
Deno Deploy offers a free tier at $0/month, Pro at $20/month, and Builder at $200/month. Enterprise has custom pricing. All plans include base request and bandwidth limits, with overage charges for additional usage.
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.
Deno: What are Deno Deploy's overage charges?
Egress bandwidth overages cost $0.20 per GB. CPU time overages are $0.10 per hour on Pro and Builder tiers. Memory time and KV database operations also incur charges beyond included limits.
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.
Deno: How many apps can I deploy on Deno's free plan?
The free tier includes 10 apps with up to 1 concurrent build. Pro tier supports 50 apps with 3 concurrent builds, and Builder supports 10,000 apps with 20 concurrent builds.
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.
Deno: How many team members can access Deno Deploy?
The free tier supports up to 3 team members. Pro supports 10 team members. Builder supports 25 team members. Enterprise has custom seat limits.
Sourceetcd: 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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