Databases · head to head
Apache Pinot vs Chroma

Apache Pinot
Databases
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -

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
- -
The short version
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; 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.
- They diverge on capability: Apache Pinot covers Real-time Analytics, Chroma covers Embedded mode.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and Chroma actually diverge.
| Attribute | Apache Pinot | Chroma |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Linux, Docker, Kubernetes | Web |
| Founded | 1999 | Unknown |
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 Apache Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- SQL Support
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Kafka
Only in Chroma
- Embedded mode
- Single-node server
- Distributed architecture
- Vector search
- Full-text search
- Metadata filtering
- Consistent API across modes
- Multi-language clients
What people use each for
The jobs each tool is most often brought in to do.
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot Chroma
- User-facing dashboards inside a productnot Chroma
- Real-time metrics at high ingest ratesnot Chroma
- Petabyte-scale analytics as run at LinkedIn and Ubernot Chroma
Chroma
- Prototyping retrieval-augmented generation where the priority is having a working index in minutes rather than choosing a permanent storenot Apache Pinot
- Agent memory in a single application process, where an embedded store avoids adding a network dependencynot Apache Pinot
- A departmental search application under roughly ten million records where one server is sufficient and simplicity is worth more than headroomnot Apache Pinot
- Local and CI testing of retrieval code with the same client library used in productionnot Apache Pinot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
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.
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
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
Which should you pick?
Choose Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want column-oriented.
Choose Chroma if
- You need embedded mode.
- You want to start without paying.
- You also want single-node server.
Questions people ask
- Is Apache Pinot or Chroma better?
- Neither clearly leads. Apache Pinot starts at Free and Chroma at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Chroma?
- Apache Pinot starts at Free and Chroma at Free.
- Does Apache Pinot or Chroma run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Chroma runs on Web.
- Can I use Apache Pinot for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Pinot best used for?
- Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what Chroma is typically brought in for.
- What can Apache Pinot do that Chroma cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Chroma covers Embedded mode, Single-node server, Distributed architecture, Vector search.
Answered from the vendors’ own pages
Apache Pinot: How much does Apache Pinot cost?
Apache Pinot is free and open-source. It is provided under the Apache License, which allows free use, modification, and distribution.
SourceChroma: 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.
Apache Pinot: Is Apache Pinot free for commercial use?
Yes. Apache Pinot is licensed under the Apache License, which explicitly permits commercial use at no cost.
SourceChroma: 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.
Apache Pinot: Can I run Apache Pinot locally or with Docker?
Yes. Apache Pinot offers a Docker quickstart and free downloads of the latest version (1.5.1 at the time of the page). You are responsible for hosting and infrastructure.
SourceChroma: 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.
Apache Pinot: Are there restrictions on how I can use Apache Pinot?
The Apache License permits unrestricted use, but requires retention of license notices and statements. No usage limits or feature restrictions are enforced.
SourceChroma: 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.
Related pages
More on Apache Pinot
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- Chroma vs Microsoft SQL Server
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- Chroma vs SQLite
- Chroma vs Timeplus
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- Chroma vs Memcached
- Chroma vs MotherDuck
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