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 8.0, while PostgreSQL is ranked #2 with an average rating of 8.4. Meta holds a 3.6% mindshare in OSD, compared to PostgreSQL’s 16.6% 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

3,587 Views
1,614 Comparison Views

100% willing to recommend

PostgreSQL

Read 125 PostgreSQL reviews

7,275 Views
6,620 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: September 2025).

Buyer's Guide

Faiss vs. PostgreSQL

September 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

12th

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

12th

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 October 2025, in the Open Source Databases category, the mindshare of Faiss is 3.6%, down from 4.6% compared to the previous year. The mindshare of PostgreSQL is 16.6%, down from 19.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
PostgreSQL	16.6%
Faiss	3.6%
Other	79.8%

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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PavithrarajShetty

Software Architect at Tetherfi

Offers simplicity and is cheaply priced

I haven't gone through the scalability aspect since I was using MySQL Server. I haven't worked to a high level in PostgreSQL, but with MySQL Server, I have managed clustering and partitioning. I think I haven't put much focus on PostgreSQL, so I am not sure how it behaves or how it works.

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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

"I used Faiss as a basic database."

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

"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."

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

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

"The tool is user-friendly."

"The solution is quite stable."

"It is easy to install and easy to manage. There is no license on it, so it is free. There is high compatibility with Oracle, and there are many tools for the migration of data from Oracle to Postgre."

"It's a standard reliable database management system."

"The system can perform faster analysis by providing it with a lot of memory. Speed is crucial for analytics. Currently, the main reason we haven't adopted Elasticsearch is that we lack the necessary expertise to manage it."

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 database and applications can become very slow."

"They need to have a better graphical interface. There is a tool called pgAdmin 4 that they use, which is free. It is written in Java, and it is slow. They need to have a better product that is similar to Toad for Oracle, but, of course, it is hard to get something that's really great and free. Other than that, it is great."

"There could be a plugin to distribute the data on servers for the product."

"It could be improved by using parallelization. You want basically, distributed computing."

"Integration with other platforms could be improved."

"PostgreSQL could improve by providing a geographical solution for tracking trucks and people in the field. They might already have features similar to this and I have not found them. I haven't done research about this topic."

"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."

"The solution could improve the integration."

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."

"It is an open-source platform."

"Affordable solution."

"The solution requires a license."

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

"The community version of Postgre is basically free."

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

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

Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

13%

Manufacturing Company

Educational Organization

Computer Software Company

15%

Financial Services Firm

12%

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	58
Midsize Enterprise	26
Large Enterprise	45

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

Milvus vs Faiss

Compared 10% of the time

Elastic Search vs Faiss

Compared 9% of the time

Chroma vs Faiss

Compared 9% of the time

Redis vs Faiss

Compared 9% of the time

Qdrant vs Faiss

Compared 6% of the time

More Faiss Competitors

Firebird SQL vs PostgreSQL

Compared 31% of the time

MySQL vs PostgreSQL

Compared 12% of the time

MariaDB vs PostgreSQL

Compared 7% of the time

EDB Postgres Advanced Server vs PostgreSQL

Compared 7% of the time

Percona Server vs PostgreSQL

Compared 3% of the time

Product Reports

Buyer's Guide

Open Source Databases

October 2025

Download Faiss product report

Buyer's Guide

PostgreSQL

October 2025

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

September 2025

Free Report: Faiss vs. PostgreSQL

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