Chroma vs Faiss comparison

Chroma and Meta are both solutions in the Vector Databases category. Chroma is ranked #2 with an average rating of 8.5, while Meta is ranked #3 with an average rating of 8.0. Chroma holds a 15.7% mindshare in VD, compared to Meta’s 13.4% mindshare. Additionally, 100% of Chroma users are willing to recommend the solution, compared to 100% of Meta users who would recommend it.

Chroma

Read 2 Chroma reviews

2,836 Views
2,723 Comparison Views

100% willing to recommend

Faiss

Read 2 Faiss reviews

2,500 Views
2,309 Comparison Views

100% willing to recommend

Chroma

Faiss

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Chroma and Faiss based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Chroma vs. Faiss Report (Updated: October 2024).

Buyer's Guide

Chroma vs. Faiss

October 2024

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Helped 823,875 peers since 2012

Categories and Ranking

Chroma

Ranking in Vector Databases

2nd

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Faiss

Ranking in Vector Databases

3rd

Average Rating

8.0

Number of Reviews

Ranking in other categories

Open Source Databases (14th)

Mindshare comparison

As of December 2024, in the Vector Databases category, the mindshare of Chroma is 15.7%, up from 12.5% compared to the previous year. The mindshare of Faiss is 13.4%, up from 12.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

Sameer Bhangale

Leader, Data Science Practice at a computer software company with 5,001-10,000 employees

Used for RAG (Retrieval-augmented generation) and provides good documentation

If I have to deploy my application in a scalable environment with lots of data and users, I sometimes need to create multiple instances of my database or have a distributed database across different machines. Using Kubernetes, I can quickly increase the horizontal spread of Milvus because it is containerized and readily available. I don't have to do anything by myself. New users can go to Chroma's 'Get Started' page and follow it like a tutorial. Then, they will be ready to use the solution. Chroma has helped us reduce the overall project post production time. Overall, I rate the solution an eight out of ten.

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Vasu Bansal

Student at Otto-von-Guericke-Universitaet

Provides quick query search and has a big database

I did not face any issues integrating Faiss with other tools. I would recommend the solution to other users. Faiss has facilitated my AI-driven project very well. I recommend that other users use it for their AI projects because it provides quick query search and has a big database. Overall, I rate the solution nine and a half out of ten.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's very easy to set up and runs easily."

"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."

"I used Faiss as a basic database."

"The product has better performance and stability compared to one of its competitors."

Cons

"The hybrid algorithm needs improvement."

"I think Chroma doesn't have a ready-made containerized image available."

"It would be beneficial if I could set a parameter and see different query mechanisms being run."

"It could be more accessible for handling larger data sets."

Pricing and Cost Advice

"The current version is an open-source."

"It is an open-source tool."

"Faiss is an open-source solution."

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823,875 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

10%

University

Computer Software Company

19%

Financial Services Firm

13%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Chroma?

The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it.

See all answers

What needs improvement with Chroma?

The hybrid algorithm needs improvement.

See all answers

What is your primary use case for Chroma?

We collect customer's feedback, and then we present it to the clients.

See all answers

What do you like most about Faiss?

I used Faiss as a basic database.

See all answers

What is your experience regarding pricing and costs for Faiss?

Faiss is an open-source solution.

See all answers

What needs improvement with Faiss?

I didn't know what algorithm was being learned to fetch my query. It would be beneficial if I could set a parameter and see different query mechanisms being run. I can then compare the results to s...

See all answers

Comparisons

LanceDB vs Chroma

Compared 33% of the time

Redis vs Chroma

Compared 9% of the time

PostgreSQL vs Chroma

Compared 9% of the time

OpenSearch vs Chroma

Compared 9% of the time

Milvus vs Chroma

Compared 5% of the time

More Chroma Competitors

Elastic Search vs Faiss

Compared 14% of the time

Milvus vs Faiss

Compared 11% of the time

Qdrant vs Faiss

Compared 10% of the time

OpenSearch vs Faiss

Compared 10% of the time

Pinecone vs Faiss

Compared 9% of the time

More Faiss Competitors

Product Reports

Buyer's Guide

Vector Databases

December 2024

Download Chroma product report

Buyer's Guide

Open Source Databases

November 2024

Download Faiss product report

Learn More

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Chroma

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Overview

Chroma is a versatile tool that enhances visual display quality, offering features such as color accuracy improvement, brightness adjustment, and image settings fine-tuning.

It creates vibrant and immersive visual experiences, making it valuable for content creators, gamers, and design professionals.

Chroma's customizable lighting options and seamless integration with other devices are highly praised, allowing users to personalize their setups and create visually stunning effects.

Its compatibility with various devices ensures a cohesive and immersive user experience.

Faiss is a powerful library for efficient similarity search and nearest neighbor retrieval in large-scale datasets. It is widely used in image and text processing, recommendation systems, and natural language processing.

Users appreciate its speed, scalability, and ability to handle high-dimensional data effectively. Faiss also offers easy integration and extensive support for different programming languages.

Its valuable features include efficient search capabilities, support for large-scale datasets, various similarity measures, easy integration, and comprehensive documentation and community support.

Sample Customers

1. Google 2. Netflix 3. Amazon 4. Facebook 5. Microsoft 6. Apple 7. Twitter 8. Spotify 9. Adobe 10. Uber 11. Airbnb 12. LinkedIn 13. Pinterest 14. Snapchat 15. Dropbox 16. Salesforce 17. IBM 18. Intel 19. Oracle 20. Cisco 21. HP 22. Dell 23. Samsung 24. Sony 25. LG 26. Panasonic 27. Philips 28. Toshiba 29. Nokia 30. Motorola 31. Xiaomi 32. Huawei

1. Facebook 2. Airbnb 3. Pinterest 4. Twitter 5. Microsoft 6. Uber 7. LinkedIn 8. Netflix 9. Spotify 10. Adobe 11. eBay 12. Dropbox 13. Yelp 14. Salesforce 15. IBM 16. Intel 17. Nvidia 18. Qualcomm 19. Samsung 20. Sony 21. Tencent 22. Alibaba 23. Baidu 24. JD.com 25. Rakuten 26. Zillow 27. Booking.com 28. Expedia 29. TripAdvisor 30. Rakuten 31. Rakuten Viber 32. Rakuten Ichiba

Buyer's Guide

Chroma vs. Faiss

October 2024

Free Report: Chroma vs. Faiss

Find out what your peers are saying about Chroma vs. Faiss and other solutions. Updated: October 2024.

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823,875 professionals have used our research since 2012.

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We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.