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Databases · head to head

Chroma vs Namespace

Chroma logo

Chroma

Databases

Apache 2.0 vector and full-text search engine that runs as an embedded library, a single server or a distributed cloud service.

From
Free
Free plan
Yes
Namespace logo

Namespace

Developer Tools

The dev platform for the next 100 billion commits

From
Free
Free plan
Yes

The short version

  • Namespace is a developer infrastructure platform.
  • Free plans on both; paid from $250/mo and $100/mo.
  • Only Chroma lists embedded mode; only Namespace lists GitHub Actions runners.
  • Where Namespace falls short: developer plan is pay-as-you-go only; minimum usage unclear.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Chroma and Namespace actually diverge.

Attributes where Chroma and Namespace differ
AttributeChromaNamespace
PlatformsWebWeb, macOS, Windows, Linux
CategoryDatabasesDeveloper Tools

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for Namespace.

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 Chroma

  • Embedded mode
  • Single-node server
  • Distributed architecture
  • Vector search
  • Full-text search
  • Metadata filtering
  • Consistent API across modes
  • Multi-language clients

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.

Chroma

  • Prototyping retrieval-augmented generation where the priority is having a working index in minutes rather than choosing a permanent storenot Namespace
  • Agent memory in a single application process, where an embedded store avoids adding a network dependencynot Namespace
  • A departmental search application under roughly ten million records where one server is sufficient and simplicity is worth more than headroomnot Namespace
  • Local and CI testing of retrieval code with the same client library used in productionnot Namespace

Namespace

  • Providing AI coding agents with cloud-based development environmentsnot Chroma
  • Accelerating CI builds with faster GitHub Actions runnersnot Chroma
  • Distributing builds across teams with managed infrastructurenot Chroma
  • Scaling development velocity for monorepo organizationsnot Chroma

Where each one falls short

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

Chroma

  • On a single node, available memory sets a hard upper bound on collection size, roughly 245,000 records per gigabyte of RAM at 1024 dimensions, so capacity planning is a memory purchase and the ceiling arrives without warning
  • Single-node queries parallelise only up to the number of vCPUs, after which requests queue and latency rises linearly with concurrency, so throughput problems appear as a slow application rather than as errors
  • The distributed deployment behind Chroma Cloud is a different architecture from the embedded library, so latency, consistency and failure behaviour observed in a local prototype do not predict production behaviour
  • The open source server has no built-in authentication or multi-tenancy worth relying on, so a self-hosted deployment needs its own auth proxy and network controls before anything untrusted can reach it
  • The project has moved quickly through major internal rewrites and version changes, so upgrades have historically involved data migrations and client changes, and pinning versions is necessary rather than cautious

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

Chroma

Free
  • StarterFree
    • 10 databases
    • 10 team members
    • Community Slack access
  • Team$250/mo
    • 100 databases
    • 30 team members
    • $100 in included credits
  • EnterpriseOn request
    • Unlimited databases
    • Unlimited team members
    • Dedicated support

Namespace

Free
  • DeveloperFree
    • Pay-as-you-go
    • On-demand compute
    • Docker builds
  • Team$100/mo
    • 100,000 unit minutes
    • 1,000 Docker builds
    • Everything in Developer
  • Business$250/mo
    • 250,000 unit minutes
    • 2,500 Docker builds
    • Everything in Team
  • EnterpriseOn request
    • Custom compute/Docker build limits
    • Audit log export
    • Enterprise SSO

Which should you pick?

Choose Chroma if

  • You need embedded mode.
  • You want to start without paying.
  • You also want single-node server.

Choose Namespace if

  • You need devboxes.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want github actions runners.

Questions people ask

Is Chroma or Namespace better?
Neither clearly leads. Chroma starts at Free and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Chroma or Namespace?
Chroma starts at Free and Namespace at Free.
Does Chroma or Namespace run on more platforms?
Chroma runs on Web. Namespace runs on Web, macOS, Windows, Linux.
Can I use Chroma for free?
Both have a free tier, so you can try either at no cost before committing.
What is Chroma best used for?
Chroma is most often used for prototyping retrieval-augmented generation where the priority is having a working index in minutes rather than choosing a permanent store, agent memory in a single application process, where an embedded store avoids adding a network dependency, a departmental search application under roughly ten million records where one server is sufficient and simplicity is worth more than headroom, local and ci testing of retrieval code with the same client library used in production. Of those, prototyping retrieval-augmented generation where the priority is having a working index in minutes rather than choosing a permanent store and agent memory in a single application process, where an embedded store avoids adding a network dependency are not what Namespace is typically brought in for.
What can Chroma do that Namespace cannot?
Chroma covers Embedded mode, Single-node server, Distributed architecture, Vector search. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.

Answered from the vendors’ own pages

Chroma: Do I need to run a server?

No. Chroma runs embedded in your process with persistence to a local directory, which is how most projects start. The server and distributed modes exist for when multiple clients or larger collections require them.

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.

Source
Chroma: How large can a single node get?

The project puts single-node deployments at fewer than about ten million records across a handful of collections, with collection size bounded by system memory at roughly 245,000 records per gigabyte at 1024 dimensions.

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.

Source
Chroma: Is Chroma Cloud the same software?

It is the same API and project, but the distributed deployment is a different architecture, using independent services, object storage and SSD caches rather than a single process. Behaviour under load differs accordingly.

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.

Source
Chroma: How does it compare with pgvector?

pgvector keeps vectors in a Postgres database you already operate, with SQL, joins and transactions. Chroma is a dedicated retrieval engine with a lower setup cost and a retrieval-shaped API. If you already run Postgres, pgvector removes a system; if you do not, Chroma removes a decision.

Chroma: What licence is it under?

Apache 2.0, which permits self-hosting and embedding in commercial products without a competing-use restriction.

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