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Databases · head to head

Chroma vs SQLite

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
Rated
-
SQLite logo

SQLite

Databases

Small, fast, self-contained SQL database engine

From
Free
Rated
-

The short version

  • Each has a real cost: 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.; SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • They diverge on capability: Chroma covers Embedded mode, SQLite covers Serverless Operation.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Chroma and SQLite actually diverge.

Attributes where Chroma and SQLite differ
AttributeChromaSQLite
Pricing modelusage-basedopen-source
PlatformsWebLinux, macOS, Windows, iOS, Android
FoundedUnknown2000

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

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

Only in SQLite

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

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

SQLite

  • Transaction processingnot Chroma
  • Data storagenot Chroma
  • Application backendnot Chroma
  • Reportingnot Chroma
  • Data analyticsnot 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.

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

Pricing, plan by plan

Chroma

Free
  • StarterFree
    • 10 databases
    • 10 team members
    • Community Slack access
  • Team$250/month
    • 100 databases
    • 30 team members
    • $100 in included credits
  • Enterprise$null/month
    • Unlimited databases
    • Unlimited team members
    • Dedicated support

SQLite

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

Which should you pick?

Choose Chroma if

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

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.

Questions people ask

Is Chroma or SQLite better?
Neither clearly leads. Chroma starts at Free and SQLite at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Chroma or SQLite?
Chroma starts at Free and SQLite at Free.
Does Chroma or SQLite run on more platforms?
Chroma runs on Web. SQLite runs on Linux, macOS, Windows, iOS, Android.
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 SQLite is typically brought in for.
What can Chroma do that SQLite cannot?
Chroma covers Embedded mode, Single-node server, Distributed architecture, Vector search. SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform.

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.

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
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.

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
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.

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
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.

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
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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