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Faiss vs MySQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 23, 2025

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
12th
Average Rating
8.0
Reviews Sentiment
3.3
Number of Reviews
3
Ranking in other categories
Vector Databases (5th)
MySQL
Ranking in Open Source Databases
1st
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
150
Ranking in other categories
Relational Databases Tools (5th)
 

Mindshare comparison

As of September 2025, in the Open Source Databases category, the mindshare of Faiss is 3.7%, down from 4.3% compared to the previous year. The mindshare of MySQL is 9.2%, down from 15.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Market Share Distribution
ProductMarket Share (%)
MySQL9.2%
Faiss3.7%
Other87.1%
Open Source 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.
Prabir Kumar Kundu - PeerSpot reviewer
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.

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."
"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."
"The IO segregation in CGE is valuable."
"The easy access to the data and the ability to sort the data with multiple methods are very valuable features."
"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."
"The solution is very simple. It's easy to use. That's the most important feature."
"We use it as a data store and from that perspective, we get everything we need."
"The most valuable feature of MySQL is auto-scaling."
"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."
 

Cons

"It could be more accessible for handling larger data sets."
"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."
"MySQL doesn't have the auto-clustering and database clustering features that other competitors provide. They can include these features."
"The GUI could improve to make MySQL better."
"Improvements to MySQL depend on the specific use case. For example, in my scenario, I frequently need to maintain and store data, which can then be utilized to generate reports. On the other hand, others may suggest incorporating a feature that allows for easier visualization of the data, such as what is available in Power BI or other similar tools."
"Documentation is definitely required when running multiple databases on a cluster system."
"I would like to improve the solution’s pricing for licenses."
"The manuals or documentation could be better."
"The full-text search feature must be improved."
"I would rate the stability a seven out of ten. It does break down a little at times."
 

Pricing and Cost Advice

"Faiss is an open-source solution."
"It is an open-source tool."
"It is open-source."
"The pricing falls within the moderate range."
"We pay a yearly subscription fee."
"There is no cost involved, no licensing fees."
"​Enterprise editions and support are definitely needed for the heavy users who need direct support. ​"
"MySQL Enterprise Support is not cheap, though might still be cheaper than Oracle or SQL Server. They may not have local support depending on where you’re based, but there are many smaller agencies out there that will readily provide support. You’ll need to spend some time looking around."
"We are using the free community version of the solution."
"I am not paying, but I am not sure about the exact licensing requirements."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
14%
Manufacturing Company
8%
Educational Organization
8%
Computer Software Company
14%
Financial Services Firm
10%
Manufacturing Company
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business73
Midsize Enterprise31
Large Enterprise61
 

Questions from the Community

What do you like most about Faiss?
I used Faiss as a basic database.
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...
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...
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...
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...
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...
 

Comparisons

 

Overview

 

Sample Customers

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Facebook, Tumblr, Scholastic, MTV Networks, Wikipedia, Verizon Wireless, Sage Group, Glassfish Open Message Queue, and RightNow Technologies.
Find out what your peers are saying about Faiss vs. MySQL and other solutions. Updated: September 2025.
867,370 professionals have used our research since 2012.