Faiss vs PostgreSQL comparison

Meta and PostgreSQL are both solutions in the Open Source Databases category. Meta is ranked #12 with an average rating of 8.5, while PostgreSQL is ranked #2 with an average rating of 8.2. Meta holds a 3.8% mindshare in OSD, compared to PostgreSQL’s 14.4% 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

3,161 Views
1,581 Comparison Views

100% willing to recommend

PostgreSQL

Read 125 PostgreSQL reviews

8,017 Views
6,895 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: March 2026).

Buyer's Guide

Faiss vs. PostgreSQL

March 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

12th

Ranking in Vector Databases

9th

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

8th

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 March 2026, in the Open Source Databases category, the mindshare of Faiss is 3.8%, down from 5.3% compared to the previous year. The mindshare of PostgreSQL is 14.4%, down from 18.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
PostgreSQL	14.4%
Faiss	3.8%
Other	81.8%

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.

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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."

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

"The product is easy to use and works fast for relational databases."

"The most valuable feature is the performance."

"The product is quite flexible."

"The product's deployment is easy."

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

"What I like is that it's quite powerful in terms of performance."

"The solution is scalable, it is very good."

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."

"The search option is not very good."

"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."

"A better graphic user-interface would be nice to see."

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

"I find it difficult to get connectors on the tool. For example, .NET has only one free provider in PostgreSQL. I need to pay the provider if I need something more sophisticated features. Other languages like PHP and Java have good community support. We need community support for .NET."

"The user interface could be a bit better."

"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."

"I'm not really able to customize it."

Pricing and Cost Advice

"It is an open-source tool."

"Faiss is an open-source solution."

"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."

"The licensing model is good."

"The solution requires a license."

"It is an open-source platform."

"We do not pay for licensing."

"The community version of Postgre is basically free."

"It is open source. There is no licensing."

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

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

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	27
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 7% of the time

Qdrant vs Faiss

Compared 7% of the time

Redis vs Faiss

Compared 7% of the time

MongoDB Enterprise Advanced vs Faiss

Compared 6% of the time

Microsoft Azure Cosmos DB vs Faiss

Compared 6% of the time

More Faiss Competitors

Firebird SQL vs PostgreSQL

Compared 21% of the time

MySQL vs PostgreSQL

Compared 8% of the time

MariaDB vs PostgreSQL

Compared 6% of the time

Chroma vs PostgreSQL

Compared 5% of the time

Qdrant vs PostgreSQL

Compared 3% of the time

Product Reports

Buyer's Guide

Open Source Databases

February 2026

Download Faiss product report

Buyer's Guide

PostgreSQL

February 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

March 2026

Free Report: Faiss vs. PostgreSQL

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