Technology · head to head
etcd vs Penpot
etcd
Technology
A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.
- From
- On request
- Free plan
- No
Penpot
Developer Tools
Open source design and prototyping platform
- From
- Free
- Free plan
- Yes
The short version
- Only Penpot 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.; Penpot smaller user base and community compared to Figma means fewer templates and resources
- They diverge on capability: etcd covers Raft consensus, Penpot covers Vector editing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which etcd and Penpot 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 Penpot
- Vector editing
- Interactive prototyping
- Design systems
- Components & libraries
- Real-time collaboration
- SVG support
- CSS Grid & Flexbox
- Code export
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 Penpot
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Penpot
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Penpot
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Penpot
Penpot
- UI/UX designnot etcd
- Prototypingnot etcd
- Design systemsnot etcd
- Developer handoffnot etcd
- Open source projectsnot 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.
Penpot
- Smaller user base and community compared to Figma means fewer templates and resources
- Self-hosting requires Linux server and Docker knowledge for technical setup
- Real-time collaboration features may have performance issues with very large design files
Pricing, plan by plan
etcd
On requestNo published plan breakdown. See the etcd review.
Penpot
Free- FreeFree
- Cloud-based design
- Real-time collaboration
- Components and variants
- Unlimited$7/month
- All free features
- Priority support
- Advanced cloud features
- Enterprise$950/month
- Custom enterprise features
- Dedicated support
- Advanced security
Which should you pick?
Choose Penpot if
- You need vector editing.
- You want to start without paying.
- You work on Web, Windows, macOS, Linux.
- You also want interactive prototyping.
Questions people ask
- Is etcd or Penpot better?
- Neither clearly leads. etcd starts at On request and Penpot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, etcd or Penpot?
- Penpot has a free tier; the other does not. Paid plans start at On request for etcd and Free for Penpot.
- Does etcd or Penpot run on more platforms?
- etcd runs on Web. Penpot runs on Web, Windows, macOS, Linux.
- Can I use Penpot for free?
- Yes. Penpot 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 Penpot is typically brought in for.
- What can etcd do that Penpot cannot?
- etcd covers Raft consensus, Linearizable reads, Transactions, Leases. Penpot covers Vector editing, Interactive prototyping, Design systems, Components & libraries.
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.
Penpot: Is Penpot really free?
Yes. Penpot is completely free with no feature gates. The open-source version can be self-hosted on your own infrastructure for zero cost beyond server expenses.
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.
Penpot: Can I self-host Penpot?
Yes. Penpot can be self-hosted on your own infrastructure with no licensing costs. Organizations with specific privacy or governance needs can run Penpot on their own servers.
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.
Penpot: What are the paid plans if I use Penpot cloud?
Penpot's cloud service offers a free tier, Unlimited plan at $7 per user per month for professionals and medium teams, and Enterprise starting at $950 per month for larger organizations.
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.
Penpot: What platforms does Penpot support?
Penpot runs in the browser, so it works on Windows, Mac, Linux, and any OS with a web browser. No platform-specific downloads required.
Sourceetcd: 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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