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Developer Tools · head to head

StackBlitz vs turbopuffer

StackBlitz logo

StackBlitz

Developer Tools

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

From
Free
Free plan
Yes
Visit StackBlitzFull 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

  • StackBlitz is free; turbopuffer starts at $16/mo.
  • Only StackBlitz lists bolt.new AI app builder; only turbopuffer lists object storage architecture.
  • 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 StackBlitz and turbopuffer actually diverge.

Attributes where StackBlitz and turbopuffer differ
AttributeStackBlitzturbopuffer
Starting priceFree$16/month
Pricing modelFreemiumSubscription
Free tierYesNo
CategoryDeveloper ToolsDatabases

Identical on both: 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 StackBlitz

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

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.

StackBlitz

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

turbopuffer

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

Where each one falls short

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

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

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

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

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 StackBlitz if

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

Choose turbopuffer if

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

Questions people ask

Is StackBlitz or turbopuffer better?
Neither clearly leads. StackBlitz 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, StackBlitz or turbopuffer?
StackBlitz has a free tier; the other does not. Paid plans start at Free for StackBlitz and $16/month for turbopuffer.
Does StackBlitz or turbopuffer run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use StackBlitz for free?
Yes. StackBlitz has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is StackBlitz best used for?
StackBlitz is most often used for editing a github repository instantly in the browser without cloning it, generating a working web app from a text prompt with bolt.new, sharing private projects across a team without individual github seats for viewers, running lightweight node.js projects with no local setup. Of those, editing a github repository instantly in the browser without cloning it and generating a working web app from a text prompt with bolt.new are not what turbopuffer is typically brought in for.
What can StackBlitz do that turbopuffer cannot?
StackBlitz covers WebContainers, Bolt.new AI app builder, Instant boot times, GitHub project import. turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

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
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.

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
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.

StackBlitz: Is there an Enterprise option?

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

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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