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Faiss vs MongoDB Enterprise Advanced comparison

Meta and MongoDB are both solutions in the Open Source Databases category. Meta is ranked #10 with an average rating of 8.5, while MongoDB is ranked #6 with an average rating of 8.4. Meta holds a 3.8% mindshare in OSD, compared to MongoDB’s 5.1% 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
  • 3,467 Views
  • 1,699 Comparison Views
100% willing to recommend
MongoDB Enterprise Advanced
Read 82 MongoDB Enterprise Advanced reviews
  • 5,473 Views
  • 2,244 Comparison Views
92% willing to recommend
 

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.

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To learn more, read our detailed Faiss vs. MongoDB Enterprise Advanced Report (Updated: February 2026).
Buyer's Guide
Faiss vs. MongoDB Enterprise Advanced
February 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
Average Rating
8.0
Reviews Sentiment
3.3
Number of Reviews
3
Ranking in other categories
Vector Databases (6th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
6th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (4th)
 

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 MongoDB Enterprise Advanced is 5.1%, up from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced5.1%
Faiss3.8%
Other91.1%
Open Source Databases
 

Featured Reviews

Kalindu Sekarage - PeerSpot reviewer
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.
Read full review
FG
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.
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

"The product has better performance and stability compared to one of its competitors."
"I used Faiss as a basic database."
"The aggregation framework is very powerful when elaborating on data."
"It facilitates the generation of heatmaps for graphical data analysis."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."
"It is very fast - faster than an SQL or MySQL Server."
"MongoDB is relatively fast compared to relational databases."
"The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates."
"Easier to maintain the data with its document-based storage."
More MongoDB Enterprise Advanced pros
 

Cons

"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."
"It could be more accessible for handling larger data sets."
"Some of the solution's transaction capabilities can be improved."
"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."
"I don't see a lot of areas that need improvement."
"The user interface is not as friendly as Oracle, which is something that can be improved."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"The solution can be a bit tough to set up if you don't have knowledge about how the database works."
"MongoDB should improve its data loading part."
"The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture."
More MongoDB Enterprise Advanced cons
 

Pricing and Cost Advice

"Faiss is an open-source solution."
"It is an open-source tool."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"We use the open-source version, which is available to use free of charge."
"The solution is open source, so it is free."
"It is rather expensive."
"The product is affordable."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"You only have to pay for the paid version, not the open-source version."
"I only used the open-source version."
More MongoDB Enterprise Advanced pricing and cost advice
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
9%
Comms Service Provider
9%
Financial Services Firm
13%
Computer Software Company
9%
Manufacturing Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business35
Midsize Enterprise13
Large Enterprise38
 

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
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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Redis vs Faiss
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PostgreSQL vs Faiss
Compared 8% of the time
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Supabase Vector vs Faiss
Compared 7% of the time
Elastic Search vs Faiss Logo
Elastic Search vs Faiss
Compared 6% of the time
MySQL vs Faiss Logo
MySQL vs Faiss
Compared 6% of the time
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InfluxDB vs MongoDB Enterprise Advanced
Compared 5% of the time
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Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced
Compared 5% of the time
MongoDB Atlas vs MongoDB Enterprise Advanced Logo
MongoDB Atlas vs MongoDB Enterprise Advanced
Compared 5% of the time
Couchbase Enterprise vs MongoDB Enterprise Advanced Logo
Couchbase Enterprise vs MongoDB Enterprise Advanced
Compared 5% of the time
PostgreSQL vs MongoDB Enterprise Advanced Logo
PostgreSQL vs MongoDB Enterprise Advanced
Compared 5% of the time
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Product Reports

Buyer's Guide
Open Source Databases
February 2026
Faiss reportDownload Faiss product report
Buyer's Guide
MongoDB Enterprise Advanced
February 2026
MongoDB Enterprise Advanced reportDownload 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.

Meta

MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?
  • Scalability: Dynamic adjustments to workloads with ease.
  • JSON Compatibility: Seamless data structuring with JSON support.
  • Clustering: Enhanced data management through robust clustering.
  • Security Integration: Built-in security measures for data protection.
  • Sharding: Efficient distribution of large datasets.
What benefits should users look for in reviews?
  • Document-Based Storage: Flexibility in managing varied data types.
  • Open-Source: Access to a broad community and resources.
  • Low-Cost Implementation: Economic efficiency in deployment.
  • Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB
 

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
February 2026
Free Report: Faiss vs. MongoDB Enterprise Advanced
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