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Coder vs turbopuffer

Coder logo

Coder

Developer Tools

Self-hosted platform for provisioning governed cloud development environments

From
Free
Free plan
Yes
Visit CoderFull review
turbopuffer logo

turbopuffer

Databases

Closed-source vector and full-text search service built directly on object storage, with cold queries measured in seconds rather than milliseconds.

From
$16/month
Free plan
No
Visit turbopufferFull review

The short version

  • Coder is free; turbopuffer starts at $16/mo.
  • Only Coder lists self-hosted workspaces; only turbopuffer lists object storage architecture.
  • Where Coder falls short: premium plan pricing is not published and requires contacting sales.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Coder and turbopuffer actually diverge.

Attributes where Coder and turbopuffer differ
AttributeCoderturbopuffer
Starting priceFree$16/month
Pricing modelFreemiumSubscription
Free tierYesNo
PlatformsWeb, Linux, macOS, Windows, APIWeb
CategoryDeveloper ToolsDatabases

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 Coder

  • Self-hosted workspaces
  • Multi-IDE support
  • AI coding agent support
  • OpenID Connect SSO
  • Audit logging
  • Resource quotas

Only in turbopuffer

  • Object storage architecture
  • Namespaces
  • Vector search
  • Full-text search
  • Attribute filtering
  • Documented limits
  • Configurable consistency
  • Durable writes

What people use each for

The jobs each tool is most often brought in to do.

Coder

  • Running self-hosted development environments behind a corporate firewallnot turbopuffer
  • Standardizing developer workspaces across a large engineering orgnot turbopuffer
  • Giving approved AI coding agents governed, isolated workspacesnot turbopuffer
  • Enforcing SSO and audit trails on developer environment accessnot turbopuffer

turbopuffer

  • A product with one search index per customer and thousands of customers, most of whose data is idle on any given daynot Coder
  • Very large corpora where holding every vector in memory is the dominant cost and occasional cold-query latency is acceptablenot Coder
  • Hybrid retrieval combining BM25 and vector search where running and synchronising two separate systems is the problem being solvednot Coder
  • Retrieval for agent and assistant products where indexes are created and destroyed frequently and per-index overhead must be near zeronot Coder

Where each one falls short

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

Coder

  • Premium plan pricing is not published and requires contacting sales
  • Requires self-hosting and managing the underlying infrastructure, unlike fully managed cloud IDEs
  • High availability, audit logging, and RBAC are gated behind the paid Premium tier, so the free Community edition lacks enterprise controls

turbopuffer

  • A cold namespace pays object storage latency on the first query, with a documented p90 around 1,214 ms on a million documents, so any interactive search box needs the data kept warm or the user waits about a second
  • Queries are eventually consistent by default, and after roughly 128 MiB of outstanding writes new data is invisible until indexed, which the vendor puts at tens of seconds for small namespaces and tens of minutes for large ones, so a bulk re-index is not immediately queryable
  • It is closed source with no community edition, so single-tenant or bring-your-own-cloud deployment is a commercial negotiation rather than a deployment choice, and there is no path to running it yourself if the relationship ends
  • Per-namespace ceilings, roughly 10,000 writes per second, 32 MB/s and 500 million documents per shard, mean a single enormous index has to be sharded across namespaces by your application rather than by the service
  • It is a search engine, not a database: there are no joins, no cross-document transactions and no SQL, so it sits beside a primary datastore and keeping the two in step is work that belongs to you

Pricing, plan by plan

Coder

Free
  • CommunityFree
    • Unlimited workspaces and templates
    • Unlimited organization members
    • Multiple IDE support
  • PremiumOn request
    • Ticket-based support with SLA
    • Multi-organization access controls
    • Resource quotas and audit logging

turbopuffer

$16/month
  • Launch$16/mo
    • All database features
    • Multi-tenancy deployment
    • SOC2 & GDPR-ready DPA
  • Scale$256/mo
    • Everything in Launch
    • HIPAA-ready BAA
    • Single Sign-On (SSO)
  • Enterprise$4,096/mo
    • Everything in Scale
    • Single-tenancy & BYOC deployment options
    • Private networking

Which should you pick?

Choose Coder if

  • You need self-hosted workspaces.
  • You want to start without paying.
  • You work on Web, Linux, macOS, Windows, API.
  • You also want multi-ide support.
Coder review

Choose turbopuffer if

  • You need object storage architecture.
  • You also want namespaces.
turbopuffer review

Questions people ask

Is Coder or turbopuffer better?
Neither clearly leads. Coder starts at Free and turbopuffer at $16/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Coder or turbopuffer?
Coder has a free tier; the other does not. Paid plans start at Free for Coder and $16/month for turbopuffer.
Does Coder or turbopuffer run on more platforms?
Coder runs on Web, Linux, macOS, Windows, API. turbopuffer runs on Web.
Can I use Coder for free?
Yes. Coder has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is Coder best used for?
Coder is most often used for running self-hosted development environments behind a corporate firewall, standardizing developer workspaces across a large engineering org, giving approved ai coding agents governed, isolated workspaces, enforcing sso and audit trails on developer environment access. Of those, running self-hosted development environments behind a corporate firewall and standardizing developer workspaces across a large engineering org are not what turbopuffer is typically brought in for.
What can Coder do that turbopuffer cannot?
Coder covers Self-hosted workspaces, Multi-IDE support, AI coding agent support, OpenID Connect SSO. turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

Coder: Is there a free plan, and what are its limits?

Yes, the Community edition is free and includes unlimited workspaces, templates, and organization members with OpenID Connect SSO, aimed at hobbyists and small teams.

Source
turbopuffer: Can I self-host turbopuffer?

There is no open source or community edition. Single-tenant and bring-your-own-cloud deployments exist as commercial arrangements, but there is no way to run it independently of the vendor.

Coder: What does Premium add over Community?

Premium adds ticket-based SLA support, multi-organization access controls, resource quotas, audit logging, AI governance, workspace proxies, high availability, and custom branding.

Source
turbopuffer: How fast is it really?

Warm queries perform comparably to in-memory search engines. Cold queries, where data is not cached, have a documented p90 around 1,214 ms on a million documents. Write p90 is around 248 ms for a 512 KB upsert because writes go straight to object storage.

Coder: How is Coder priced?

Community is free; Premium is priced per user annually, with the exact rate available by contacting Coder.

Source
turbopuffer: Is it consistent?

Eventually consistent by default, with the vendor reporting that over 99.8% of queries return consistent data. Strong consistency can be requested per query at a latency cost. Large write bursts have a longer visibility delay while indexing catches up.

turbopuffer: What is it best at?

Large numbers of namespaces where most are idle. The architecture makes cold data cheap to keep, which is exactly the shape of a multi-tenant product with a long tail of inactive customers.

turbopuffer: What are the hard limits?

Up to 128 billion documents and 256 TB per namespace, 500 million documents per shard, 64 MiB per document, 10,752 dense vector dimensions, roughly 10,000 writes per second per namespace and a maximum result set of 10,000.

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