Chroma

Name: Chroma
Brand: ChromaDB
Price: 250 USD
Rating: 4.2 (6 reviews)

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Open-source vector database for AI applications

From $250/mo (free plan available)

Freemium Vector Databases Data & Databases AI & Automation

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4.2 (6 across the web)

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Reviews on G2

6 reviews tracked

The Bottom Line

Updated May 26, 2026

Price: From $250/mo (free plan available). Compare plans

Key facts

Chroma is an open-source vector database designed for building AI applications with embeddings
It stores and queries vector embeddings for semantic search, RAG, and AI memory applications
Free and open source to self-host; Chroma Cloud offers paid tiers

Pros

Simple to use
Good for prototyping
Open source
Python native
Lightweight

Cons

Not for production scale
Limited features
Persistence basic
Documentation gaps
Smaller community

What is Chroma?

Editorial review

Chroma is a vector database built for AI applications. Store embeddings, query by similarity, and power retrieval-augmented generation with a database designed for how LLMs actually work. The API is simple. Local mode requires no setup. Scaling happens when you need it. The focus is making vector search accessible. Developers building AI applications that need vector storage choose Chroma for an approachable database that handles embeddings natively.

Available on: Web, macOS, Linux, Windows

Louis Corneloup Updated May 26, 2026 · how we evaluate Source trychroma.com ↗

Ratings Across the Web

4.2 (6 reviews)

Chroma holds an aggregate rating of 4.2 out of 5 from 6 reviews across G2, last checked September 1, 2026.

G2 6 reviews

4.2/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Vector database
AI native
Embeddings
Python-first
Self-hosted
Open source

Pricing Plans

Pricing checked Oct 7, 2026

Chroma plans and prices, checked October 2026
Plan	Price	Details
Open Source	$0	Free to self-host Self-hosted Apache 2.0 Vector, full-text and metadata search
Cloud Starter Popular	$0	Usage-based $0/month + usage Free credits 10 databases +1 more Show less 10 team members
Cloud Team	$250/month	Plus usage $250/month + usage $100 credits included 100 databases +3 more Show less 30 team members SOC 2 Slack support
Enterprise	Custom	Custom Unlimited databases and members Single-tenant clusters BYOC +1 more Show less SLAs

Calculate your cost View full pricing

Is Chroma worth the price?

Great value

This makes it highly accessible for developers and small projects to get started without upfront costs.

It's best for individual developers, startups, and small to medium-sized businesses looking for a flexible and scalable vector database solution.

Full Chroma pricing: every plan, hidden costs and alternatives

Reviews

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4.2/5

Across 6 verified user reviews on G2

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Best Chroma Alternatives

Top alternatives based on features, pricing, and user needs.

Elasticsearch Freemium

Distributed search and analytics

4.5

Milvus Free

Open-source vector database for AI

4.8

Pinecone Freemium

Managed vector database for semantic search and RAG

4.2

Weaviate Freemium

Open-source vector database with ML

4.4

Qdrant Freemium

Vector database for similarity search

4.5

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Chroma vs Elasticsearch Head-to-head: features, pricing, who wins Chroma vs Milvus Head-to-head: features, pricing, who wins Chroma vs Pinecone Head-to-head: features, pricing, who wins

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Chroma FAQ

How does Chroma support AI applications?

Chroma is a vector database specifically built for AI applications, allowing users to store embeddings and perform similarity queries. It is designed to power retrieval-augmented generation by handling embeddings natively, aligning with how large language models operate.

Which teams would benefit most from using Chroma?

Teams developing AI applications that require vector storage will find Chroma beneficial, especially those looking for an approachable database. Its Python-native and open-source nature makes it suitable for developers focused on AI.

How does Chroma compare to Pinecone?

Chroma is an open-source, Python-native vector database known for its simplicity and suitability for prototyping, whereas Pinecone is another vector database. Chroma's strengths lie in its ease of use and lightweight nature, though it is not designed for production-scale applications.

What kind of limitations should users be aware of when choosing Chroma?

Users should note that Chroma is not designed for production-scale applications and has limited features compared to more robust solutions. Its persistence capabilities are basic, and its community is smaller, which can impact support.

How is Chroma priced?

Chroma is offered as a paid product, and it does not include a permanently free tier for its services. Users should anticipate a cost associated with its use.

Can Chroma be used for prototyping AI features?

Yes, Chroma is well-suited for prototyping AI features due to its simple API and lightweight design. Its local mode requires no setup, making it easy to get started with vector search for development purposes.

Does Chroma offer native integration with Python?

Chroma is Python native, which means it integrates seamlessly into Python-based development workflows. This makes it particularly convenient for developers building AI applications using Python.

Source: trychroma.com

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