Databases · head to head
Cassandra vs Chroma

Cassandra
Databases
Manage massive amounts of data with linear scalability
- 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: Cassandra no support for joins across tables; 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: Cassandra covers Linear Scalability, Chroma covers Embedded mode.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Cassandra and Chroma actually diverge.
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 Cassandra
- Linear Scalability
- Fault Tolerance
- Multi-datacenter Replication
- Tunable Consistency
- CQL Query Language
- Distributed Architecture
- No Single Point of Failure
- DataStax
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.
Cassandra
- Real-time applicationsnot Chroma
- Content managementnot Chroma
- User profilesnot Chroma
- Mobile backendsnot Chroma
- Cachingnot Chroma
Chroma
- Prototyping retrieval-augmented generation where the priority is having a working index in minutes rather than choosing a permanent storenot Cassandra
- Agent memory in a single application process, where an embedded store avoids adding a network dependencynot Cassandra
- A departmental search application under roughly ten million records where one server is sufficient and simplicity is worth more than headroomnot Cassandra
- Local and CI testing of retrieval code with the same client library used in productionnot Cassandra
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cassandra
- No support for joins across tables
- No ACID transactions across multiple rows
- Data model must be designed around query patterns upfront, making schema evolution difficult
- Partition key misconfigurations can cause uneven data distribution and hotspots that degrade performance
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
Cassandra
FreeNo published plan breakdown. See the Cassandra review.
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 Cassandra if
- You need linear scalability.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want fault tolerance.
Choose Chroma if
- You need embedded mode.
- You want to start without paying.
- You also want single-node server.
Questions people ask
- Is Cassandra or Chroma better?
- Neither clearly leads. Cassandra 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, Cassandra or Chroma?
- Cassandra starts at Free and Chroma at Free.
- Does Cassandra or Chroma run on more platforms?
- Cassandra runs on Linux, macOS, Windows, Docker, Kubernetes. Chroma runs on Web.
- Can I use Cassandra for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cassandra best used for?
- Cassandra is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Chroma is typically brought in for.
- What can Cassandra do that Chroma cannot?
- Cassandra covers Linear Scalability, Fault Tolerance, Multi-datacenter Replication, Tunable Consistency. Chroma covers Embedded mode, Single-node server, Distributed architecture, Vector search.
Answered from the vendors’ own pages
Cassandra: Does Cassandra support joins between tables?
No. Cassandra does not support joins or foreign keys. The data model requires denormalization, meaning data must be duplicated across tables to support different query patterns.
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.
Cassandra: Does Cassandra offer ACID transactions?
No. Cassandra provides only row-level atomicity and isolation, not full ACID transactions across multiple rows or tables. It uses lightweight transactions via Paxos for per-row compare-and-set operations.
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.
Cassandra: What programming languages can connect to Cassandra?
Cassandra supports official drivers for multiple languages including Python, Java, Node.js, and Go, allowing applications to communicate via the native Cassandra protocol.
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.
Cassandra: Can I deploy Cassandra in the cloud?
Yes. Cassandra can run on any cloud platform (AWS, Google Cloud, Azure) via Docker, virtual machines, or managed services like DataStax Astra DB, which provides a fully managed DBaaS option.
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.
Cassandra: Does Cassandra have a free option?
The open source Apache Cassandra is free. DataStax also offers Astra DB with a free tier providing up to 25GB storage and 25 million read/write operations per month.
SourceChroma: 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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