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Databases · head to head

Chroma vs StackBlitz

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
StackBlitz logo

StackBlitz

Developer Tools

Browser-based IDE and AI app builder running full Node.js stacks via WebContainers

From
Free
Free plan
Yes

The short version

  • StackBlitz is free; Chroma starts at $250/mo.
  • Only Chroma lists embedded mode; only StackBlitz lists bolt.new AI app builder.
  • Where StackBlitz falls short: specific Teams and Enterprise pricing figures are not published; visitors must request a quote or infer from the pricing calculator.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Chroma and StackBlitz actually diverge.

Attributes where Chroma and StackBlitz differ
AttributeChromaStackBlitz
Pricing modelUsage-basedFreemium
CategoryDatabasesDeveloper Tools

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

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 StackBlitz

  • WebContainers
  • Bolt.new AI app builder
  • Instant boot times
  • GitHub project import
  • Team collaboration
  • Offline functionality

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 StackBlitz
  • Agent memory in a single application process, where an embedded store avoids adding a network dependencynot StackBlitz
  • A departmental search application under roughly ten million records where one server is sufficient and simplicity is worth more than headroomnot StackBlitz
  • Local and CI testing of retrieval code with the same client library used in productionnot StackBlitz

StackBlitz

  • Editing a GitHub repository instantly in the browser without cloning itnot Chroma
  • Generating a working web app from a text prompt with Bolt.newnot Chroma
  • Sharing private projects across a team without individual GitHub seats for viewersnot Chroma
  • Running lightweight Node.js projects with no local setupnot 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

StackBlitz

  • Specific Teams and Enterprise pricing figures are not published; visitors must request a quote or infer from the pricing calculator
  • Browser-based execution via WebContainers has limits on which native/binary dependencies can run compared to a real server-backed environment
  • Heavy or resource-intensive workloads may be constrained by the end user's own browser and machine resources

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

StackBlitz

Free
  • PersonalFree
    • Unlimited public projects, collections, and GitHub repositories
    • View and edit without a GitHub account
  • TeamsOn request
    • Private collections and repositories for paid members
    • Free and paid member roles
    • Automatic permission mirroring for org-owned repositories

Which should you pick?

Choose Chroma if

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

Choose StackBlitz if

  • You need webcontainers.
  • You want to start without paying.
  • You also want bolt.new ai app builder.

Questions people ask

Is Chroma or StackBlitz better?
Neither clearly leads. Chroma starts at Free and StackBlitz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Chroma or StackBlitz?
Chroma starts at Free and StackBlitz at Free.
Does Chroma or StackBlitz run on more platforms?
Both run on Web, so platform support will not decide this one for you.
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 StackBlitz is typically brought in for.
What can Chroma do that StackBlitz cannot?
Chroma covers Embedded mode, Single-node server, Distributed architecture, Vector search. StackBlitz covers WebContainers, Bolt.new AI app builder, Instant boot times, GitHub project import.

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.

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

Yes, the free Personal plan includes unlimited public StackBlitz projects, collections, and GitHub repositories, and lets anyone view and edit projects without needing a GitHub account.

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.

StackBlitz: What does the Teams plan add?

Teams lets GitHub organizations add free or paid members; paid members get access to private collections and repositories, with permissions mirrored from GitHub-owned repos.

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.

StackBlitz: Is there an Enterprise option?

Yes, custom Enterprise plans are available and require contacting StackBlitz directly.

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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