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

Download the report

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: January 2026).

Buyer's Guide

Faiss vs. PostgreSQL

January 2026

Download the complete report

Helped 881,176 peers since 2012

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.

Read full review

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."

"PostgreSQL is very easy to use. I have experience in Oracle SQL and PostgreSQL uses the same syntax which makes it is easy for me to develop."

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

"We use the solution to store tables. It is stable and performs well."

"Initial setup is simple."

"The solution has many valuable features such as it easy to use and the interface is intuitive."

"It is very scalable and comes with a bonus: no licensing issues as you scale with your databases."

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

"The PostgreSQL database is similar to the SQL Server but has a slightly different technology that has similar resources as well. If the customer has the confidence using SQL Server, they will be fairly comfortable using this solution."

Cons

"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."

"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."

"As PostgreSQL is an open-source product, you do have to do a bit more configuration and management yourself."

"The pricing could be better."

"The database and applications can become very slow."

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

"The price could be better."

"Sometimes, it becomes slow because of the network. So, there is room for improvement in performance."

"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."

"We have to set up event API, which takes a lot of events from the user."

Pricing and Cost Advice

"Faiss is an open-source solution."

"It is an open-source tool."

"The solution requires a license."

"We are using the free version of PostgreSQL."

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

"It is free, but if you need support, you can go for the commercial version called EnterpriseDB. They provide paid support, and they can even do hosting for you if you want standby and support."

"It is an open-source platform."

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

"The community version of Postgre is basically free."

"It could be much cheaper. If you would like to build an application on Amazon today, PostgreSQL is the standard database with Redshift. If you want other databases, you can add them, but PostgreSQL is the basis of everything. It's a question of money, that's it."

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

11%

Comms Service Provider

10%

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...

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

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

Comparisons

Redis vs Faiss

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

Chroma vs Faiss

Compared 7% of the time

More Faiss Competitors

Firebird SQL vs PostgreSQL

Compared 25% 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

January 2026

Free Report: Faiss vs. PostgreSQL

Find out what your peers are saying about Faiss vs. PostgreSQL and other solutions. Updated: January 2026.

DOWNLOAD NOW

881,176 professionals have used our research since 2012.

See our Faiss vs. PostgreSQL report.

See our list of best Open Source Databases vendors and best Vector Databases vendors.

We monitor all Open Source Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.