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

"I used Faiss as a basic database."

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

"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."

"It is very useful for both structured and unstructured data. You can store unstructured and structured data in PostgreSQL. It is easy to use. You can easily manage things through PostgreSQL Admin. It is cost-effective. Its on-premise version is free. It is agnostic of on-premise or cloud. You can install it on the cloud or on-premises. It is available with all clouds, and you can also install it on desktop or Windows Servers."

"It is easy to use."

"PostgreSQL has complete SQL dialects and is useful for writing sophisticated and complex queries. We have experience with Oracle database. My partner is experienced in DDA and he writes sophisticated SQL queries. The solution helps to get the job done in the best possible way. In today’s age, most developers do not have strong SQL knowledge or language command. They find it difficult to write even a SQL statement. These developers write cool queries which perform badly on the database end. As DBAs, we constantly urge the developers not to write bad queries, help them learn more, and write placebo commands."

"We often use PostgreSQL for operations monitoring because we are a manufacturing company."

"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."

"The performance is good."

"The most valuable features are the price, stability, it is scalable and is used by our clients in small business environments, and it is a simple product to use."

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."

"The scalability is limited."

"I'd like to see better memory management. I think that that's one of the few areas that Postgres does not handle as well as MySQL does or did."

"The interface could be much better."

"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 database and applications can become very slow."

"Sometimes, the views create problems. If you don't have the view, sometimes what happens is you need to have the drivers properly set up for PostgreSQL."

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

"Instead of the installation agent downloading all the packages for the install, it should allow the user to download the packages separately on their own to do the install."

Pricing and Cost Advice

"Faiss is an open-source solution."

"It is an open-source tool."

"There is an annual license."

"It is also open-source so it is free."

"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."

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

"It is free. In terms of operating costs, it basically needs the same platform on which Oracle runs."

"The solution requires a license."

"The tool is cheaply priced compared to other RDBMS providers in the market."

"The community version of Postgre is basically free."

Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

14%

Manufacturing Company

University

Computer Software Company

15%

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

Comparisons

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Compared 10% of the time

Supabase Vector vs Faiss

Compared 8% of the time

MongoDB Enterprise Advanced vs Faiss

Compared 8% of the time

Milvus vs Faiss

Compared 8% of the time

Microsoft Azure Cosmos DB vs Faiss

Compared 6% of the time

More Faiss Competitors

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Compared 27% of the time

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Compared 11% of the time

MariaDB vs PostgreSQL

Compared 7% of the time

Chroma vs PostgreSQL

Compared 5% of the time

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Product Reports

Buyer's Guide

Open Source Databases

December 2025

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Buyer's Guide

PostgreSQL

December 2025

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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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