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 8.5, while PostgreSQL is ranked #2 with an average rating of 8.3. Meta holds a 3.8% mindshare in OSD, compared to PostgreSQL’s 14.3% 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

3,467 Views
1,699 Comparison Views

100% willing to recommend

PostgreSQL

Read 125 PostgreSQL reviews

7,517 Views
6,540 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: January 2026).

Buyer's Guide

Faiss vs. PostgreSQL

January 2026

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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

6th

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

9th

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 February 2026, in the Open Source Databases category, the mindshare of Faiss is 3.8%, down from 5.5% compared to the previous year. The mindshare of PostgreSQL is 14.3%, down from 18.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
PostgreSQL	14.3%
Faiss	3.8%
Other	81.9%

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

"I used Faiss as a basic database."

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

"The main value is that it is open source, which means it is free. Our organization has the initiative to go to open source to cut down on cost. Oracle costs us $6 million a year right now, which is killing us, and Postgres costs nothing. So, there is a big push to go to Postgres."

"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."

"I like that you can move any relational database from Oracle to PostgreSQL. I also like that it's pretty stable."

"Postgres has some functions called JSONB aggregators or other aggregators, which are quite useful."

"It's a useful solution, that can be widely used."

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

"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."

"It is easy to use."

Cons

"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."

"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."

"When you get a large number of records in a database and start doing various queries, it can adversely impact the performance of the live running systems. That's an area we continue to look at and mean to improve, but it is not only because of PostgreSQL. It is also because of the way the schemas are put together, and certain events are triggered. So, it is because of both parties."

"It still needs to be more mature and have some backup feature. We are normally dealing with Oracle's data, and we have very strong online tools to back up the data and do other things. PostgreSQL still needs to do more in this area as well as in the high availability area. There are many external tools that you can use for PostgreSQL's high availability, but there is no embedded tool within PostgreSQL for high availability. It could have a feature similar to Oracle for working on a distributed system. It can have some scripts to improve the monitoring and some tools to do performance analysis. We have a workaround for most of such requirements except for the support for a distributed system, which is very difficult to have. This area should be included in the core of the database itself."

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

"The solution could improve the integration."

"I had some issues when I integrated with the Jupyter Notebook."

"It would be great if the solution offered even more integration capabilities."

"PostgreSQL could improve by being more user-friendly. In SQL Server they have a studio where you can easily do management but not in this solution."

"The price could be better."

Pricing and Cost Advice

"It is an open-source tool."

"Faiss is an open-source solution."

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

"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."

"Affordable solution."

"It is an open-source platform."

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

"We are using the free version of PostgreSQL."

"The community version of Postgre is basically free."

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

Top Industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

14%

Manufacturing Company

Comms Service Provider

Computer Software Company

13%

Financial Services Firm

11%

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...

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

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Supabase Vector vs Faiss

Compared 7% of the time

MongoDB Enterprise Advanced vs Faiss

Compared 7% of the time

Elastic Search vs Faiss

Compared 6% of the time

MySQL vs Faiss

Compared 6% of the time

More Faiss Competitors

Firebird SQL vs PostgreSQL

Compared 22% of the time

MySQL vs PostgreSQL

Compared 9% of the time

MariaDB vs PostgreSQL

Compared 7% of the time

Chroma vs PostgreSQL

Compared 5% of the time

Percona Server vs PostgreSQL

Compared 2% 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

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