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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
11th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Vector Databases (11th)
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 June 2026, in the Open Source Databases category, the mindshare of Milvus is 4.8%, down from 5.8% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 6.0%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced6.0%
Milvus4.8%
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

"Milvus has good accuracy and performance."
"I like the accuracy and usability."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"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 best feature of Milvus was finding the closest chunk from a huge amount of data."
"I like its performance and the stability; it's very stable and, performance-wise, it's really great."
"The feature I find most valuable is that it is easy to use and even a non-technical person will be able to understand it."
"The solution's most important aspect is its seamless database."
"We use MongoDB for big data analysis, and we are also developing monitoring tools, planning to use MongoDB to silo out the data structure as our data grows."
"I find the integration with other tools very easy."
"My impression is that the initial setup is straightforward."
"The aggregation framework is very powerful when elaborating on data."
"The aggregation framework is really good, allowing a developer to build very complex queries."
 

Cons

"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."
"Milvus has higher resource consumption, which introduces complexity in implementation."
"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."
"MongoDB should be more stable, and support should be more efficient."
"The performance of the solution could be improved."
"MongoDB has a "heavy" architecture, which limits the scalability options."
"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. Instead of MongoDB, we will use Oracle Database because for a transactional service, you have to rely on RDBMS ACID properties. I would love to work on MongoDB by using my mobile phone. When I am working remotely or traveling and have some instances deployed on my server, I should be able to check through my mobile whether all the data is being pulled. GitHub has a similar feature, where it lets you read from the laptop, and you can also pull and push with your mobile phone. I would request MongoDB to provide such a feature. Basically, I want a mobile version for both iOS and Android versions."
"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy."
"Our program developer finds it to be a little unstable, development-wise."
"The solution could have more integration."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
 

Pricing and Cost Advice

"Milvus is an open-source solution."
"Milvus is an open-source solution."
"Our customers pay for yearly licenses for MongoDB."
"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."
"It is rather expensive."
"The solution is open source so is free."
"We use the open-source version, which is available to use free of charge."
"This is an open-source solution."
"The product is affordable."
"MongoDB is not expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
9%
Manufacturing Company
8%
University
8%
Financial Services Firm
16%
Manufacturing Company
8%
Construction Company
6%
Computer Software Company
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 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 advice do you have for others considering Milvus?
Milvus works well for various use cases and is quite flexible in terms of deployment. For on-premises deployment, you can use the open-source version with Docker. The system requirements are relati...
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...
What is your primary use case for MongoDB?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
 

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: June 2026.
900,747 professionals have used our research since 2012.