Faiss vs Redis comparison

Meta and RedisLabs are both solutions in the Vector Databases category. Meta is ranked #5 with an average rating of 8.0, while RedisLabs is ranked #4 with an average rating of 8.7. Meta holds a 5.9% mindshare in VD, compared to RedisLabs’s 4.8% mindshare. Additionally, 100% of Meta users are willing to recommend the solution, compared to 100% of RedisLabs users who would recommend it.

Faiss

Read 3 Faiss reviews

3,445 Views
3,204 Comparison Views

100% willing to recommend

Redis

Read 23 Redis reviews

4,839 Views
1,742 Comparison Views

100% willing to recommend

Faiss

Redis

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 5, 2025

Redis and Faiss are competing in the area of data management and search solutions. Redis has the upper hand in support and broader functionality, while Faiss stands out with its specialized features.

Features: Redis is known for its speed, versatility, and robust data structures, making it adaptable for various use cases. Faiss specializes in complex data searches, offering advanced features like similarity search and vector quantization.

Ease of Deployment and Customer Service: Redis provides straightforward deployment with extensive documentation and broad platform support, making it user-friendly. It also leads in customer service due to its established systems. Faiss focuses on a developer-friendly approach with comprehensive guidance that supports machine learning frameworks, providing targeted technical support.

Pricing and ROI: Redis has a moderate setup cost, which translates into high ROI through scalable and performance-driven applications. While Faiss requires a higher initial investment, it justifies this with its advanced features, delivering significant returns for data-intensive operations. Redis offers cost-effective options, whereas Faiss emphasizes premium functionalities.

To learn more, read our detailed Faiss vs. Redis Report (Updated: July 2025).

Buyer's Guide

Faiss vs. Redis

July 2025

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Review summaries and opinions

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

Categories and Ranking

Faiss

Ranking in Vector Databases

5th

Average Rating

8.0

Reviews Sentiment

3.3

Number of Reviews

Ranking in other categories

Open Source Databases (13th)

Redis

Ranking in Vector Databases

4th

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

NoSQL Databases (7th), In-Memory Data Store Services (1st)

Mindshare comparison

As of August 2025, in the Vector Databases category, the mindshare of Faiss is 5.9%, down from 15.3% compared to the previous year. The mindshare of Redis is 4.8%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

Kalindu Sekarage

Senior Software Engineer

Integration improves accuracy and supports token-level embedding

The best features FAISS offers for my team include seamless integration with Colbert and the ability to use FAISS via the Ragatouille framework, which is tailor-made for using the Colbert model. Feature-wise, FAISS allows for more accurate result retrieval, and retrieval speed is also good when comparing the index size. Regarding features, I also emphasize that the usability of FAISS is very seamless, particularly its integration with Colbert and Ragatouille. FAISS has positively impacted my organization by helping us increase the accuracy of retrieval documents; when we store documents in token-level embedding, the accuracy will be high. Additionally, we do not need any external server to host FAISS, allowing us to integrate it with our backend framework, making it a very flexible framework.

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Yaseer Arafat

.Net Developer at Freelance

Unmatched Performance and Scalability for Modern Applications

Redis has room for improvement in a few areas. Enhanced tools for managing and monitoring clusters would be beneficial, as would built-in security mechanisms like advanced encryption and granular access controls. Simplifying setup and configuration could make Redis more accessible to new users. Introducing more enterprise-grade features, such as better multi-tenancy support and improved backup and restore capabilities, would also be advantageous. For the next release, it would be great to see enhanced cluster management tools, native multi-region supports for better data redundancy, integrated analytics for deeper insights, AI and ML integration features, and improved developer experience through enhanced SDKs and tools.

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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

"I used Faiss as a basic database."

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

"Redis acts as an in-memory search tool that improves the speed of operations."

"Redis provides an easy setup and operation process, allowing users to quickly connect and use it without hassle."

"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."

"The ability to fetch and save data quickly is valuable."

"The performance of Redis is very fast."

"Redis is a simple service that does what it promises."

"The in-memory data makes it fast."

"The solution's technical support team is good...The solution's initial setup process was straightforward."

More Redis pros

Cons

"One of the drawbacks of Faiss is that it works only in-memory. If it could provide separate persistent storage without relying on in-memory, it would reduce the overhead."

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

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

"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."

"For the PubSub feature, we had to create our own tools to monitor the events."

"The initial setup of Redis was difficult, with a rating of two or three out of ten."

"If we use a lot of data, it will eventually cost us a lot."

"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."

"It's actually quite expensive."

"Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation."

"There are some features from MongoDB that I would like to see included in Redis to enhance its overall efficiency, such as the ability to perform remote behaviour. MongoDB is more efficient in handling updates than deletions and is quicker in processing updates, but it can be slower regarding deletions. This can sometimes pose a challenge, especially when dealing with large datasets or frequent data manipulations that involve deletions. In such cases, I often rewrite columns or update values instead of directly deleting data, as it can be more efficient."

More Redis cons

Pricing and Cost Advice

"It is an open-source tool."

"Faiss is an open-source solution."

"The tool is open-source. There are no additional costs."

"Redis is an open-source solution. There are not any hidden fees."

"Redis is not an overpriced solution."

"We saw an ROI. It made the processing of our transactions faster."

"Redis is an open-source product."

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Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

14%

Manufacturing Company

University

Financial Services Firm

24%

Computer Software Company

13%

Educational Organization

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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

What do you like most about Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

See all answers

What needs improvement with Redis?

The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...

See all answers

What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

See all answers

Comparisons

Elastic Search vs Faiss

Compared 11% of the time

Milvus vs Faiss

Compared 10% of the time

Chroma vs Faiss

Compared 9% of the time

OpenSearch vs Faiss

Compared 9% of the time

PostgreSQL vs Faiss

Compared 7% of the time

More Faiss Competitors

Red Hat Data Grid vs Redis

Compared 10% of the time

Oracle Coherence vs Redis

Compared 10% of the time

Chroma vs Redis

Compared 10% of the time

ScyllaDB vs Redis

Compared 5% of the time

Pinecone vs Redis

Compared 3% of the time

More Redis Competitors

Product Reports

Buyer's Guide

Open Source Databases

July 2025

Download Faiss product report

Buyer's Guide

Redis

August 2025

Download Redis product report

Also Known As

No data available

Redis Enterprise

Overview

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. 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

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips

Buyer's Guide

Faiss vs. Redis

July 2025

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