Faiss vs MySQL comparison

Meta and Oracle are both solutions in the Open Source Databases category. Meta is ranked #10 with an average rating of 8.0, while Oracle is ranked #1 with an average rating of 8.2. Meta holds a 3.6% mindshare in OSD, compared to Oracle’s 9.0% mindshare. Additionally, 100% of Meta users are willing to recommend the solution, compared to 91% of Oracle users who would recommend it.

Faiss

Read 3 Faiss reviews

3,588 Views
1,686 Comparison Views

100% willing to recommend

MySQL

Read 152 MySQL reviews

8,332 Views
4,833 Comparison Views

91% willing to recommend

Faiss

MySQL

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Executive SummaryUpdated on Jan 23, 2025

MySQL and Faiss cater to different needs in technology infrastructure, with MySQL focusing on database management and Faiss on similarity search and clustering. MySQL has the upper hand in structured data management, while Faiss leads in fast vector-based searches.

Features: MySQL is known for ACID-compliance, robust indexing, and security, essential for structured data applications. It supports SQL queries and transaction processing. Faiss excels in swift similarity searches and machine learning on large datasets, providing high-dimensional nearest neighbor search capabilities, suitable for AI environments.

Ease of Deployment and Customer Service: MySQL offers comprehensive documentation and community support for straightforward deployment, assisted by numerous online resources. Faiss requires a deeper understanding of machine learning for effective deployment, lacking the extensive customer support seen with MySQL. Nonetheless, it remains a potent solution for knowledgeable users.

Pricing and ROI: MySQL, as an open-source solution, presents low initial costs and a high ROI, supported by its community-driven features. Faiss, also open-source, involves no direct software costs, but requires investment in expertise and infrastructure. Its ROI is contingent on its integration in AI-focused projects.

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

Buyer's Guide

Faiss vs. MySQL

December 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 Open Source Databases

10th

Average Rating

8.0

Reviews Sentiment

3.3

Number of Reviews

Ranking in other categories

Vector Databases (5th)

MySQL

Ranking in Open Source Databases

1st

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

152

Ranking in other categories

Relational Databases Tools (4th)

Mindshare comparison

As of January 2026, in the Open Source Databases category, the mindshare of Faiss is 3.6%, down from 5.5% compared to the previous year. The mindshare of MySQL is 9.0%, down from 12.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
MySQL	9.0%
Faiss	3.6%
Other	87.4%

Open Source 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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Prabir Kumar Kundu

SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd

Offers robust security and availability with impressive replication capabilities

Regarding their documentation and interface, there is room for improvement. Documentation is definitely required when running multiple databases on a cluster system. The load balancer, MySQL LB, which is used to connect to the application, lacks clear documentation. When there are multiple application servers connecting to the MySQL cluster and going through the MySQL load balancer, the documentation is not user-friendly. It's there, but only technical persons with deep knowledge of the MySQL database can implement it. Most of the community users or ISVs who use MySQL don't have many technical persons or DBA experts, so they face some challenges for the high availability of connecting high available databases from high available applications. That documentation should be simplified.

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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

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

"I used Faiss as a basic database."

"Like other databases, it has a rich set of functions, such as stored procedures and its own procedural language, which is akin to Oracle SQL. It also has trigger and cursor commands you would expect with a good database language."

"For sure, the solution is very stable."

"We use MySQL for enterprise data storage as well as part of the back-end of websites and web applications."

"The way that MySQL has improved my organization is that it comes free and also works fine on the technical side."

"I like the simplistic view of MySQL to build custom queries and things like that as compared to SQL Server, which seems more cluttered. SQL Server has a query analyzer. MySQL pretty much does the same, and performance-wise, it has less overhead for connecting to our ERP system. It seems more responsive and cleaner. With MySQL, you get what you need without any overbloating, for which Microsoft is known. That's why they have so many constant security patches for everything because there is so much stuff, which degrades performance."

"The deployment process is pretty fast."

"I find MySQL's relational data storage format very useful for data management. Our structure is well-defined and easy for end users and business stakeholders to read. I appreciate the tool's simplicity and ability to integrate with our backend tools."

"It is easy to use. It is simple to implement, which makes it suitable for our projects because we have deadlines. MySQL is also open-source, which is another plus point."

More MySQL 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."

"Integration is a key feature in need of improvement."

"Stability needs improvement and the backup needs to be enhanced."

"At times, the autoscaling does not happen when there is a surge in load."

"MySQL has some unique exchange problems when it comes to migration projects."

"The solution is expensive."

"When working with a cluster wide, I have to use the MySQL cluster version."

"The performance issues in the product can be considered as an area where improvements are required."

"I find the Microsoft solution a bit better. But mostly in terms of the UI layout, I would say. I just find it a little bit more efficient."

More MySQL cons

Pricing and Cost Advice

"Faiss is an open-source solution."

"It is an open-source tool."

"I think that MySQL is a premium product."

"For the on-premise version, no license is required."

"I rate the solution's pricing as four out of ten, where one is cheap, and ten is expensive. For our basic needs, it's quite affordable. However, the cost increases when we need to scale up or require high availability. Our developer team of about 600 people uses MySQL without much issue. The pricing becomes more of a concern on the business side, as we have more end users and need constant database availability and scaling. In those cases, the solution gets a bit more expensive, even though it provides good value for the business."

"There is not a license required for this solution."

"We are using the free community version of the solution."

"It's an open-source database management system that can be used free of charge."

"When you know the setup will continue to grow, make sure you have the paid support."

"It's free."

More MySQL pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

14%

Manufacturing Company

Comms Service Provider

Computer Software Company

11%

Financial Services Firm

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	74
Midsize Enterprise	32
Large Enterprise	62

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...

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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...

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Why are MySQL connections encrypted and what is the biggest benefit of this?

MySQL encrypts connections to protect your data and the biggest benefit from this is that nobody can corrupt it. If you move information over a network without encryption, you are endangering it, m...

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Considering that there is a free version of MySQL, would you invest in one of the paid editions?

I may be considered a MySQL veteran since I have been using it since before Oracle bought it and created paid versions. So back in my day, it was all free, it was open-source and the best among sim...

See all answers

What is one thing you would improve with MySQL?

One thing I would improve related to MySQL is not within the product itself, but with the guides to it. Before, when it was free, everyone was on their own, seeking tutorials and how-to videos onli...

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Comparisons

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Compared 10% of the time

Supabase Vector vs Faiss

Compared 8% of the time

Milvus vs Faiss

Compared 8% of the time

MongoDB Enterprise Advanced vs Faiss

Compared 7% of the time

OpenSearch vs Faiss

Compared 5% of the time

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Firebird SQL vs MySQL

Compared 23% of the time

PostgreSQL vs MySQL

Compared 11% of the time

MariaDB vs MySQL

Compared 6% of the time

SQL Server vs MySQL

Compared 6% of the time

OpenSearch vs MySQL

Compared 2% of the time

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Product Reports

Buyer's Guide

Open Source Databases

January 2026

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Buyer's Guide

MySQL

January 2026

Download MySQL product report

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

Facebook, Tumblr, Scholastic, MTV Networks, Wikipedia, Verizon Wireless, Sage Group, Glassfish Open Message Queue, and RightNow Technologies.

Buyer's Guide

Faiss vs. MySQL

December 2025

Free Report: Faiss vs. MySQL

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