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Databases · head to head

SQLite vs turbopuffer

SQLite logo

SQLite

Databases

Small, fast, self-contained SQL database engine

From
Free
Rated
-
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
Rated
-

The short version

  • Only SQLite has a free tier, so it costs nothing to try first.
  • Each has a real cost: SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users; 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.
  • They diverge on capability: SQLite covers Serverless Operation, turbopuffer covers Object storage architecture.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which SQLite and turbopuffer actually diverge.

Attributes where SQLite and turbopuffer differ
AttributeSQLiteturbopuffer
Starting priceFree$16/month
Pricing modelopen-sourcesubscription
Free tierYesNo
PlatformsLinux, macOS, Windows, iOS, AndroidWeb
Founded2000Unknown

Identical on both: user rating (Not yet rated), category (Databases).

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 SQLite

  • Serverless Operation
  • Zero Configuration
  • Single File Database
  • Cross-platform
  • Full SQL Support
  • ACID Compliance
  • Self-contained
  • Browser Storage

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.

SQLite

  • Transaction processingnot turbopuffer
  • Data storagenot turbopuffer
  • Application backendnot turbopuffer
  • Reportingnot turbopuffer
  • Data analyticsnot turbopuffer

turbopuffer

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

Where each one falls short

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

SQLite

  • Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • No multi-user support or granular access control; relies on file system permissions for security only
  • Limited ALTER TABLE functionality cannot edit or modify columns in existing tables

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

SQLite

Free
  • Public DomainFree
    • Serverless
    • Zero-configuration
    • Cross-platform

turbopuffer

$16/month
  • Launch$16/month
    • All database features
    • Multi-tenancy deployment
    • SOC2 & GDPR-ready DPA
  • Scale$256/month
    • Everything in Launch
    • HIPAA-ready BAA
    • Single Sign-On (SSO)
  • Enterprise$4096/month
    • Everything in Scale
    • Single-tenancy & BYOC deployment options
    • Private networking

Which should you pick?

Choose SQLite if

  • You need serverless operation.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, iOS, Android.
  • You also want zero configuration.

Choose turbopuffer if

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

Questions people ask

Is SQLite or turbopuffer better?
Neither clearly leads. SQLite 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, SQLite or turbopuffer?
SQLite has a free tier; the other does not. Paid plans start at Free for SQLite and $16/month for turbopuffer.
Does SQLite or turbopuffer run on more platforms?
SQLite runs on Linux, macOS, Windows, iOS, Android. turbopuffer runs on Web.
Can I use SQLite for free?
Yes. SQLite has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is SQLite best used for?
SQLite is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what turbopuffer is typically brought in for.
What can SQLite do that turbopuffer cannot?
SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform. turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

SQLite: Is SQLite free and open source?

Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without restrictions.

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.

SQLite: How does SQLite work and what is its design?

SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.

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.

SQLite: What are SQLite's limitations for scaling?

SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.

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.

SQLite: Can I use SQLite for production web applications?

SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.

Source
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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