Databases · head to head
Chroma vs Fig
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
Fig
Developer Tools
IDE-style autocomplete for your existing terminal
- From
- Free
- Free plan
- Yes
The short version
- Fig is free; Chroma starts at $250/mo.
- Where Fig falls short: the standalone desktop app is no longer available or supported.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Chroma and Fig actually diverge.
Identical on both: starting price (Free), free tier (Yes), platforms (Web).
Not yet recorded: founded for Chroma.
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 Fig
Nothing recorded that Chroma does not also cover.
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 Fig
- Agent memory in a single application process, where an embedded store avoids adding a network dependencynot Fig
- A departmental search application under roughly ten million records where one server is sufficient and simplicity is worth more than headroomnot Fig
- Local and CI testing of retrieval code with the same client library used in productionnot Fig
Fig
No use cases recorded yet. See the Fig review.
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
Fig
- Shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
- The standalone desktop app is no longer available or supported
- The completion specs remain open source on GitHub, but the product that consumed them is gone
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
Fig
FreeNo published plan breakdown. See the Fig review.
Which should you pick?
Choose Chroma if
- You need embedded mode.
- You want to start without paying.
- You also want single-node server.
Questions people ask
- Is Chroma or Fig better?
- Neither clearly leads. Chroma starts at Free and Fig at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Chroma or Fig?
- Chroma starts at Free and Fig at Free.
- Does Chroma or Fig 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 Fig is typically brought in for.
- What can Chroma do that Fig cannot?
- Chroma covers Embedded mode, Single-node server, Distributed architecture, Vector search.
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.
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.
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.
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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- Fig vs Presto
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- Fig vs ESLint
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- Fig vs Refact
- Fig vs Restate
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