Faiss vs PostgreSQL comparison

Meta and PostgreSQL are both solutions in the Open Source Databases category. Meta is ranked #10 with an average rating of 8.0, while PostgreSQL is ranked #2 with an average rating of 8.3. Meta holds a 3.6% mindshare in OSD, compared to PostgreSQL’s 14.7% mindshare. Additionally, 100% of Meta users are willing to recommend the solution, compared to 96% of PostgreSQL users who would recommend it.

Faiss

Read 3 Faiss reviews

3,588 Views
1,686 Comparison Views

100% willing to recommend

PostgreSQL

Read 125 PostgreSQL reviews

7,165 Views
6,305 Comparison Views

96% willing to recommend

Faiss

PostgreSQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 23, 2025

PostgreSQL and Faiss operate in the data processing and retrieval domain, with PostgreSQL having an edge in comprehensive support and cost-effectiveness for database management, while Faiss leads in specialized, performance-driven tasks.

Features: PostgreSQL offers robust data integrity, extensive security mechanisms, and scalable solutions, making it suitable for a range of applications. Faiss is designed for efficient similarity search, clustering algorithms, and optimized high-dimensional data search, targeting specific performance improvements in data retrieval.

Ease of Deployment and Customer Service: PostgreSQL provides easy deployment with detailed documentation and strong community support. Faiss, as a library, requires more specialized knowledge for deployment and depends on community and open-source support. PostgreSQL users benefit from a well-established support network, while Faiss requires skilled implementation for effective use.

Pricing and ROI: PostgreSQL offers a cost-effective entry with a high ROI potential due to its open-source nature and advanced features with no licensing fees. Faiss complements PostgreSQL with specialized solutions without software acquisition cost, offering significant value in advanced search capabilities that boost ROI in data-intensive projects.

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

Buyer's Guide

Faiss vs. PostgreSQL

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

Ranking in Vector Databases

5th

Average Rating

8.0

Reviews Sentiment

3.3

Number of Reviews

Ranking in other categories

No ranking in other categories

PostgreSQL

Ranking in Open Source Databases

2nd

Ranking in Vector Databases

11th

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

125

Ranking in other categories

No ranking in other categories

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 PostgreSQL is 14.7%, down from 18.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
PostgreSQL	14.7%
Faiss	3.6%
Other	81.7%

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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Akhilesh Chipre

Senior Assosiate Consultant at Applied Materials

Real-time data capture optimizes database performance but Views create problems

One of the most valuable features is real-time data capture; it optimizes database performance. I think using real-time data capture reduces job running time and the amount of data sent at once with batch loads. Replicating the same data daily isn't optimal, so real-time reception improves application performance and reduces latency.

Read full review

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."

"The solution provides complete support in terms of the SQL dialect and behaves nicely when it comes to transactions."

"The most valuable feature is the performance."

"Clustering will be the number 1 feature. It is also open-source so it is free. It can also be clustered, to allow fault tolerance."

"It is a pretty comprehensive database system. Its performance is good, and it does what it is supposed to do. It also integrates very well."

"We are able to create many different types of jobs and items with this solution making it one of the most valuable features."

"The solution is open-source and free to use."

"PostgreSQL is very powerful, easy to manage, and has many features."

"PostgreSQL makes it very adaptable to several descriptions of a record. Instead of having several tables or several relations for one entity, I can adapt this entity. It can be a multiform entity. For example, here in Mexico, a company and a person can be sold to us as a physical entity or a physical person."

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."

"It would be good to have machine learning functionality in this solution, similar to Microsoft SQL Server and other solutions. Machine learning capability for a basic level or a common user would be useful. It can also have good reporting capabilities."

"The performance of PostgreSQL could improve."

"The interface could be much better."

"It is possible that in the newer version this has been addressed, but I would like the deployment in microservices architecture could be improved."

"There are some products out there that have a slightly different method of implementation for the SQL language. Some of those are slightly better in some areas, and PostgreSQL is slightly better in some areas. I would probably like to match all of those products together. It is just down to the functionality. For example, Oracle has a number of options within SQL that are outside of what you would class as the SQL standard. PostgreSQL misses some of those, but PostgreSQL does other things that are better than what Oracle does. I would like to merge those two products so that there is a certain amount of functionality in a single product."

"We often find the solution's datetime datatype challenging."

"They need to improve the user experience of the management."

"The solution needs to improve the query, documentation, and JSON data functionality."

Pricing and Cost Advice

"It is an open-source tool."

"Faiss is an open-source solution."

"The need for our customers to pay for licences is contingent on their projects and budgets."

"Affordable solution."

"It is free. There is no license on it."

"It is open-source. If you use it on-premise, it is free. It also has enterprise or commercial versions. If you go for the cloud version, there will be a cost, but it is lower than Oracle or Microsoft."

"PostgreSQL is open-source, so if capable admins are available then the setup cost can be $0."

"PostgreSQL is a free and open-source database."

"We use the open-source version of PostgreSQL and not the enterprise edition."

"This solution can offer a cheaper choice for customers since it is open-source."

Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

14%

Manufacturing Company

Comms Service Provider

Computer Software Company

13%

Financial Services Firm

12%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	57
Midsize Enterprise	26
Large Enterprise	46

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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How does Firebird SQL compare with PostgreSQL?

PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...

See all answers

What do you like most about PostgreSQL?

It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.

See all answers

What is your experience regarding pricing and costs for PostgreSQL?

The tool is free of cost. For now, it's not about making money. But once we perfect it, we can offer it to customers willing to pay for support and other services. Most of my deployments are free.

See all answers

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Milvus vs Faiss

Compared 8% of the time

Supabase Vector vs Faiss

Compared 8% of the time

MongoDB Enterprise Advanced vs Faiss

Compared 7% of the time

Chroma vs Faiss

Compared 7% of the time

More Faiss Competitors

Firebird SQL vs PostgreSQL

Compared 26% of the time

MySQL vs PostgreSQL

Compared 10% of the time

MariaDB vs PostgreSQL

Compared 7% of the time

Chroma vs PostgreSQL

Compared 5% of the time

Percona Server vs PostgreSQL

Compared 3% of the time

Product Reports

Buyer's Guide

Open Source Databases

January 2026

Download Faiss product report

Buyer's Guide

PostgreSQL

January 2026

Download PostgreSQL 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

1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg

Buyer's Guide

Faiss vs. PostgreSQL

December 2025

Free Report: Faiss vs. PostgreSQL

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