Faiss vs MongoDB Enterprise Advanced comparison

Meta and MongoDB are both solutions in the Open Source Databases category. Meta is ranked #12 with an average rating of 8.5, while MongoDB is ranked #6 with an average rating of 8.4. Meta holds a 3.7% mindshare in OSD, compared to MongoDB’s 5.6% mindshare. Additionally, 100% of Meta users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

Faiss

Read 3 Faiss reviews

2,877 Views
1,525 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

7,401 Views
2,960 Comparison Views

92% willing to recommend

Faiss

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

MongoDB Enterprise Advanced and Faiss compete in the field of managing and searching large datasets. MongoDB holds an edge in database management and integration capabilities, whereas Faiss excels in search performance due to its speed and specialized query processing.

Features: MongoDB Enterprise Advanced provides comprehensive database management, high availability, and advanced security features. Faiss specializes in fast nearest neighbor search, offering efficient query processing, indexing for large datasets, and speed that aids machine learning applications.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced supports multiple deployment options including cloud services, complemented by extensive customer service for expert guidance. Faiss offers a lightweight, fast deployment model focused on search efficiency, though it lacks the extensive support that MongoDB provides.

Pricing and ROI: MongoDB Enterprise Advanced requires licensing fees but offers significant ROI through its expansive capabilities and customer support. Faiss, being open-source, offers a cost-effective solution for specialized search needs, minimizing initial setup costs while providing high efficiency.

To learn more, read our detailed Faiss vs. MongoDB Enterprise Advanced Report (Updated: April 2026).

Buyer's Guide

Faiss vs. MongoDB Enterprise Advanced

April 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

Average Rating

8.0

Reviews Sentiment

3.3

Number of Reviews

Ranking in other categories

Vector Databases (12th)

MongoDB Enterprise Advanced

Ranking in Open Source Databases

6th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

NoSQL Databases (1st), Managed NoSQL Databases (4th)

Mindshare comparison

As of April 2026, in the Open Source Databases category, the mindshare of Faiss is 3.7%, down from 4.7% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 5.6%, up from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	5.6%
Faiss	3.7%
Other	90.7%

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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Fabien GOUINEAU

Architecte Cloud at Visiativ SA

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

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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."

"The reports are useful for controlling the load of our whole architecture."

"It facilitates the generation of heatmaps for graphical data analysis."

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

"MongoDB is also great for managing logs."

"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."

"MongoDB has definitely helped us improve our network monitoring and reporting dashboard, so I would say it has impacted our operations positively overall."

"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."

More MongoDB Enterprise Advanced pros

Cons

"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."

"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."

"The performance could be faster."

"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions."

"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."

"I don't see a lot of areas that need improvement."

"The stability could be better."

"I rate the support from MongoDB a four out of five."

"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."

"The performance of the solution could be improved."

More MongoDB Enterprise Advanced cons

Pricing and Cost Advice

"It is an open-source tool."

"Faiss is an open-source solution."

"I'm using the free version of MongoDB."

"Our customers pay for yearly licenses for MongoDB."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"There is an annual subscription for the use of this solution."

"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

"The product is affordable."

"MongoDB is a bit expensive compared to its competitors."

More MongoDB Enterprise Advanced pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Comms Service Provider

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	39

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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What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

See all answers

What is your experience regarding pricing and costs for MongoDB?

For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...

See all answers

What needs improvement with MongoDB?

The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...

See all answers

Comparisons

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Compared 6% of the time

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Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 4% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 4% of the time

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Product Reports

Buyer's Guide

Open Source Databases

March 2026

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Buyer's Guide

MongoDB Enterprise Advanced

April 2026

Download MongoDB Enterprise Advanced 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

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Buyer's Guide

Faiss vs. MongoDB Enterprise Advanced

April 2026

Free Report: Faiss vs. MongoDB Enterprise Advanced

Find out what your peers are saying about Faiss vs. MongoDB Enterprise Advanced and other solutions. Updated: April 2026.

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