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Milvus vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

Milvus
Ranking in Open Source Databases
10th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Vector Databases (12th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
5th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of May 2026, in the Open Source Databases category, the mindshare of Milvus is 4.9%, down from 5.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 5.9%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced5.9%
Milvus4.9%
Other89.2%
Open Source Databases
 

Featured Reviews

reviewer2395743 - PeerSpot reviewer
Data Scientist at a tech services company with 1,001-5,000 employees
Helps convert text and other data into a vector space but could provide detailed insights
Milvus is an open-source vector database designed for efficiently handling large-scale, high-dimensional data. It supports various types of data sources and can be deployed on your own premises, which is crucial for maintaining data security. Milvus offers multiple methods for calculating similarities or distances between vectors, such as L2 norm and cosine similarity. These methods help in comparing different vectors based on specific use cases. For instance, in our use case, we find that the L2 distance works best, but you can experiment with different methods to find the most suitable one for your needs. Milvus also includes its own user interface, known as the Milvus Dashboard, which allows you to visualize and manage your data, including embeddings and metadata. You can filter your data based on various criteria, including metadata and file names, which provides flexibility in data management.
FG
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"Milvus offers multiple methods for calculating similarities or distances between vectors, such as L2 norm and cosine similarity. These methods help in comparing different vectors based on specific use cases. For instance, in our use case, we find that the L2 distance works best, but you can experiment with different methods to find the most suitable one for your needs."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"I like the accuracy and usability."
"Milvus has good accuracy and performance."
"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's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."
"MongoDB has a simple data-loading interface."
"We find the query and speed very valuable."
"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."
"Sharding is an excellent feature of MongoDB."
"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."
"MongoDB is a solution that I can recommend because we have realized good benefits from it."
 

Cons

"Milvus has higher resource consumption, which introduces complexity in implementation."
"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."
"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."
"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"Overall the solution is expensive."
"The performance of the solution could be improved."
"I would recommend MongoDB as part of a template if anyone is considering free and open-source templating services such as LibreNMS, but as a standalone, I couldn't advise."
"MongoDB could improve by not having so many updates and different versions."
"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."
"You need integration with other tools to run the query in MongoDB."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required."
"Lacks sufficient scalability and elasticity."
 

Pricing and Cost Advice

"Milvus is an open-source solution."
"Milvus is an open-source solution."
"The solution is open source, so it is free."
"MongoDB is an open-source product."
"It is rather expensive."
"MongoDB is an open-source solution."
"It's a community edition, so we do not pay anything."
"I'm using the free version of MongoDB."
"I only used the open-source version."
"MongoDB is a bit expensive compared to its competitors."
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893,221 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
9%
Manufacturing Company
9%
University
8%
Financial Services Firm
15%
Manufacturing Company
8%
Computer Software Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise39
 

Questions from the Community

What do you like most about Milvus?
I like the accuracy and usability.
What needs improvement with Milvus?
Milvus could be improved how it could automatically generate insights from the data it holds. Milvus maintains embedding information and knows the relationships between data points. It would be use...
What is your primary use case for Milvus?
Milvus is primarily used in RAG, which involves retrieving relevant documents or data to augment the generation of new content. Milvus helps convert text and other data into a vector space, and the...
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...
What needs improvement with MongoDB?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...
 

Overview

 

Sample Customers

1. Alibaba Group 2. Tencent 3. Baidu 4. JD.com 5. Meituan 6. Xiaomi 7. Didi Chuxing 8. ByteDance 9. Huawei 10. ZTE 11. Lenovo 12. Haier 13. China Mobile 14. China Telecom 15. China Unicom 16. Ping An Insurance 17. China Life Insurance 18. Industrial and Commercial Bank of China 19. Bank of China 20. Agricultural Bank of China 21. China Construction Bank 22. PetroChina 23. Sinopec 24. China National Offshore Oil Corporation 25. China Southern Airlines 26. Air China 27. China Eastern Airlines 28. China Railway Group 29. China Railway Construction Corporation 30. China Communications Construction Company 31. China Merchants Group 32. China Evergrande Group
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Milvus vs. MongoDB Enterprise Advanced and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.