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Developer Tools · head to head

Cody vs etcd

Cody logo

Cody

Developer Tools

AI coding assistant powered by code search

From
Free
Free plan
Yes
etcd logo

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 Cody has a free tier, so it costs nothing to try first.
  • Each has a real cost: Cody sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page; 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 Cody and etcd actually diverge.

Attributes where Cody and etcd differ
AttributeCodyetcd
Starting priceFreeOn request
Pricing modelfreemiumopen-source
Free tierYesNo
CategoryDeveloper ToolsTechnology
Founded2013Unknown

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 Cody

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.

Cody

  • Code completion and intelligent autocomplete in IDEsnot etcd
  • Developer chat with codebase context awarenessnot etcd
  • Automated debugging and error identificationnot etcd
  • Customizable prompts for workflow automationnot etcd

etcd

  • Storing Kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doingnot Cody
  • Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Cody
  • Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Cody
  • Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot Cody

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cody

  • Sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page
  • sourcegraph.com/cody redirects to the documentation rather than a Cody product or pricing page
  • AI features are metered as credits included per user, and exceeding the allocation requires buying a higher volume bucket
  • Volume credit buckets are sold as an add-on rather than included
  • A customer success manager and premium support are optional paid extras on top of the Enterprise plan
  • Standard support is 24x5 rather than 24x7, with round-the-clock coverage sold as an upgrade
  • The published $16K figure is a starting price that scales with team size, so the actual cost is quoted rather than listed

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

Cody

Free

No published plan breakdown. See the Cody review.

etcd

On request

No published plan breakdown. See the etcd review.

Which should you pick?

Choose Cody if

  • You want to start without paying.

Choose etcd if

  • You need raft consensus.
  • You also want linearizable reads.

Questions people ask

Is Cody or etcd better?
Neither clearly leads. Cody 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, Cody or etcd?
Cody has a free tier; the other does not. Paid plans start at Free for Cody and On request for etcd.
Does Cody or etcd run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Cody for free?
Yes. Cody has a free tier, so you can try it without paying. etcd starts at On request.
What is Cody best used for?
Cody is most often used for code completion and intelligent autocomplete in ides, developer chat with codebase context awareness, automated debugging and error identification, customizable prompts for workflow automation. Of those, code completion and intelligent autocomplete in ides and developer chat with codebase context awareness are not what etcd is typically brought in for.
What can Cody do that etcd cannot?
etcd covers Raft consensus, Linearizable reads, Transactions, Leases.

Answered from the vendors’ own pages

Cody: Is Cody free?

Cody offers a free tier for individual developers via VS Code, JetBrains, Visual Studio, and the web app. Unlimited free usage is available for solo developers.

Source
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.

Cody: What does Cody Enterprise cost?

Cody Enterprise pricing is custom and requires contacting Sourcegraph sales. It is available for Sourcegraph Enterprise customers and must be quoted based on your deployment and usage needs.

Source
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.

Cody: What LLMs does Cody use?

Cody uses the latest large language models for code completions, chat, and debugging. It leverages Sourcegraph's advanced Search API to pull codebase context from local and remote repositories.

Source
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.

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.

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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