---
title: Chroma Vector Database Reviews
meta_title: 'Chroma Vector Database Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Chroma Vector Database works for a business like yours.
aggregate_rating:
  rating_value: 4.2
  review_count: 6
  scale: '5'
date_modified: '2026-07-31'
parent_category:
  name: Database Software
  url: https://www.g2.com/categories/database-software
---


# Chroma Vector Database Reviews
**Vendor:** Chroma  
**Category:** [Vector Database Software](https://www.g2.com/categories/vector-database)  
**Average Rating:** 4.2/5.0  
**Total Reviews:** 6
## About Chroma Vector Database
the AI-native open-source embedding database




## Chroma Vector Database Reviews
  ### 1. chroma db has high performance db which helps alot for implement these applications like nlp and ml

**Rating:** 4.0/5.0 stars

**Reviewed by:** Amit K. | Build Connx, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 12, 2024

**What do you like best about Chroma Vector Database?**

chroma vector databases are highly optimized which help alot to store queries and info

**What do you dislike about Chroma Vector Database?**

chroma database dislikes are there limited use cases

**What problems is Chroma Vector Database solving and how is that benefiting you?**

Actually as we see world is very fast pace develop in tech there are lot of data produced day by day. But is only producing data is beneficial for us, i say no because i think by using this data and finding meaningful insights from it is beneficial thing. so chroma db are exact doing this increasing relatibility of data response. As we see there are LLM which change the ai market first they are with batch system means they only give response according to there trained data which get older data when time is going on . so for solving this problem online systems are introduced which also had concept of RAG which is reterival augmented generation ->RAG has two component reteriver and generator which helps to increase relatibilty of llm response .so how rag are implemnted with llm it all done by using vector databases which contain relatable feature extracted data which make response more high relatable.

  ### 2. chromadb review

**Rating:** 3.5/5.0 stars

**Reviewed by:** Harsh V. | Data Scientist, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 11, 2024

**What do you like best about Chroma Vector Database?**

i has a simple syntax to use we can add data simpley qyerry structre like sql

**What do you dislike about Chroma Vector Database?**

there are some bugs like simalarity score paramersmay not give aacurate score so we require some thing new technique to update the vector database

**What problems is Chroma Vector Database solving and how is that benefiting you?**

builed faq chat bor where i used chromadb to store the past questions & answer



- [View Chroma Vector Database pricing details and edition comparison](https://www.g2.com/products/chroma-vector-database/reviews?filters%5Bnps_score%5D%5B%5D=4&section=pricing&secure%5Bexpires_at%5D=2026-08-09+14%3A40%3A24+-0500&secure%5Bsession_id%5D=017a7d80-c35f-4ee6-97ee-aae01fad779c&secure%5Btoken%5D=9d5405ef73500f62bb75a734de745ecb0dc29ea26e6555fe91731e6aa6fc4ba3&format=llm_user)

## Chroma Vector Database Features
**Data Indexing**
- Semantic Search
- Indexing Data

**Filters**
- Accurate Search
- Single Stage Filtering - Vector Database

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