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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 5.6% 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
  • 3,536 Views
  • 3,288 Comparison Views
100% willing to recommend
Redis
Read 23 Redis reviews
  • 4,801 Views
  • 1,824 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 11, 2025

Redis and Faiss serve in data handling, with Redis as a leader in high-speed data caching and storage while Faiss focuses on similarity search and clustering. Redis leads in availability and support, whereas Faiss is ahead in search and indexing features, making it advantageous for machine learning applications.

Features: Redis provides persistence, replication, Lua scripting, and transactions, making it suitable for diverse caching requirements. Faiss specializes in vector quantization, clustering, and efficient similarity searches, which are ideal for applications needing complex data management.

Ease of Deployment and Customer Service: Redis offers an easy deployment process with strong clustering support, enabling scalability and straightforward maintenance. Faiss requires an intricate setup due to its specialized capabilities and lacks the extensive customer support available with Redis, thus being more appropriate for experienced teams in machine learning.

Pricing and ROI: Redis has a scalable pricing model with quick time-to-value, ensuring a good return on investment in caching scenarios. Faiss's open-source nature reduces initial costs but may involve hidden expenses from needing skilled personnel to effectively deploy and maintain the system, favoring applications with unique data search requirements.

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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
3
Ranking in other categories
Open Source Databases (12th)
Redis
Ranking in Vector Databases
4th
Average Rating
8.8
Reviews Sentiment
5.7
Number of Reviews
23
Ranking in other categories
NoSQL Databases (7th), Managed NoSQL Databases (9th), In-Memory Data Store Services (1st)
 

Mindshare comparison

As of September 2025, in the Vector Databases category, the mindshare of Faiss is 5.6%, down from 14.7% compared to the previous year. The mindshare of Redis is 4.8%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Redis4.8%
Faiss5.6%
Other89.6%
Vector Databases
 

Featured Reviews

Kalindu Sekarage - PeerSpot reviewer
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 - PeerSpot reviewer
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."
"The in-memory data makes it fast."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"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 use Redis efficiently."
"Redis acts as an in-memory search tool that improves the speed of operations."
"Redis is a simple service that does what it promises."
"Redis provides an easy setup and operation process, allowing users to quickly connect and use it without hassle."
"The best thing about Redis is its ability to handle large amounts of data without frequently hitting the database. You can store data in temporary memory, especially for high-volume data."
"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."
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 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."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"The solution's pricing for a local installation is very expensive."
"For the PubSub feature, we had to create our own tools to monitor the events."
"Redis should have an option to operate without Docker on a local PC."
"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."
"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."
"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."
"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."
More Redis cons
 

Pricing and Cost Advice

"It is an open-source tool."
"Faiss is an open-source solution."
"Redis is an open-source solution. There are not any hidden fees."
"We saw an ROI. It made the processing of our transactions faster."
"Redis is an open-source product."
"The tool is open-source. There are no additional costs."
"Redis is not an overpriced solution."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
14%
Manufacturing Company
8%
Educational Organization
8%
Financial Services Firm
24%
Computer Software Company
12%
Educational Organization
7%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise3
Large Enterprise8
 

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?
I did not purchase FAISS through the AWS Marketplace because FAISS is an open-source product. My experience with pricing, setup cost, and licensing is straightforward, as there is no cost for acqui...
See all answers
What needs improvement with Faiss?
I currently do not think there is anything to be improved based on our experience, as Faiss performs as we expected for our workflow. I would like to see improvement in the fact that FAISS currentl...
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
 

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Compared 8% of the time
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Compared 11% of the time
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Compared 10% of the time
Chroma vs Redis Logo
Chroma vs Redis
Compared 9% of the time
ScyllaDB vs Redis Logo
ScyllaDB vs Redis
Compared 6% of the time
Amazon SQS vs Redis Logo
Amazon SQS vs Redis
Compared 4% of the time
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Product Reports

Buyer's Guide
Open Source Databases
August 2025
Faiss reportDownload Faiss product report
Buyer's Guide
Redis
August 2025
Redis reportDownload 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.

Meta

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?
  • High Speed: In-memory data storage for swift access.
  • Scalability: Master-slave replication and clustering for growth.
  • Data Structures: Supports diverse types for varied uses.
  • Persistence: RDB snapshots and AOF logs ensure durability.
  • Integration: Seamless integration reduces tuning efforts.
What should users look for in Redis reviews?
  • Performance: Real-time data retrieval boosts efficiency.
  • Cost-Effectiveness: Stable, budget-friendly implementation.
  • Versatility: Suitable for diverse environments and platforms.
  • Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

RedisLabs
 

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
Free Report: Faiss vs. Redis
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