Technology · head to head
etcd vs Namespace
etcd
Technology
A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.
- From
- On request
- Free plan
- No
Namespace
Developer Tools
The dev platform for the next 100 billion commits
- From
- Free
- Free plan
- Yes
The short version
- Only Namespace 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.; Namespace developer plan is pay-as-you-go only; minimum usage unclear
- They diverge on capability: etcd covers Raft consensus, Namespace covers Devboxes.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which etcd and Namespace 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 Namespace
- Devboxes
- GitHub Actions runners
- Docker builds
- Cross-invocation caching
- NVMe storage
- High-speed networking
- Multiple OS support
- Bazel and Turborepo support
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 Namespace
- Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Namespace
- Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Namespace
- Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Namespace
Namespace
- Providing AI coding agents with cloud-based development environmentsnot etcd
- Accelerating CI builds with faster GitHub Actions runnersnot etcd
- Distributing builds across teams with managed infrastructurenot etcd
- Scaling development velocity for monorepo organizationsnot 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.
Namespace
- Developer plan is pay-as-you-go only; minimum usage unclear
- Team plan $100/mo is competitive but usage limits may be tight
- Devbox pricing separate at $0.004/minute could add up quickly
- Enterprise plan requires custom sales conversation
Pricing, plan by plan
etcd
On requestNo published plan breakdown. See the etcd review.
Namespace
Free- DeveloperFree
- Pay-as-you-go
- On-demand compute
- Docker builds
- Team$100/month
- 100,000 unit minutes
- 1,000 Docker builds
- Everything in Developer
- Business$250/month
- 250,000 unit minutes
- 2,500 Docker builds
- Everything in Team
- Enterprise$undefined/custom
- Custom compute/Docker build limits
- Audit log export
- Enterprise SSO
Which should you pick?
Choose Namespace if
- You need devboxes.
- You want to start without paying.
- You work on Cloud, Mac, Windows, Linux.
- You also want github actions runners.
Questions people ask
- Is etcd or Namespace better?
- Neither clearly leads. etcd starts at On request and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, etcd or Namespace?
- Namespace has a free tier; the other does not. Paid plans start at On request for etcd and Free for Namespace.
- Does etcd or Namespace run on more platforms?
- etcd runs on Web. Namespace runs on Cloud, Mac, Windows, Linux.
- Can I use Namespace for free?
- Yes. Namespace 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 Namespace is typically brought in for.
- What can etcd do that Namespace cannot?
- etcd covers Raft consensus, Linearizable reads, Transactions, Leases. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.
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.
Namespace: How is compute usage metered on the Developer plan?
Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.
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.
Namespace: What is the difference between Team and Business plans?
Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.
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.
Namespace: Can Namespace support AI coding agents?
Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.
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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