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Milvus vs MongoDB Enterprise Advanced comparison

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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
14th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Vector Databases (13th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
8th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
NoSQL Databases (2nd), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of September 2026, in the Open Source Databases category, the mindshare of Milvus is 4.6%, down from 5.6% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 6.4%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced6.4%
Milvus4.6%
Other89.0%
Open Source Databases
 

Featured Reviews

Sameer Bhangale - PeerSpot reviewer
Leader, Data Science Practice at a computer software company with 5,001-10,000 employees
Provides quick and easy containerization, but documentation is not very user-friendly
Milvus' documentation is not very user-friendly and doesn't help me get started quickly. Chroma DB provides super user-friendly documentation, enabling new users to get started quickly. Chroma DB's setup doesn't have many dependencies, whereas Milvus usually comes with some dependencies because of the way it needs to be deployed. Unlike Milvus, it's very easy to do POCs with Chroma DB.
AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
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 could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

Quotes from Members

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

Pros

"I like the accuracy and usability."
"Milvus has good accuracy and performance."
"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."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"The installation of MongoDB is straightforward."
"MongoDB is fast and efficient."
"We chose MongoDB because of its community."
"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 easy to use."
"The geospatial index feature is useful for dealing with latitude and longitude data."
"MongoDB is stable; it's a good server, and if you install perfect hardware tools and follow best practices, it will be a good solution."
"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."
 

Cons

"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"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."
"Milvus has higher resource consumption, which introduces complexity in implementation."
"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."
"I don't see a lot of areas that need improvement."
"There are some problems with bugs appearing in sharding when the data is too high."
"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 solution can be a bit tough to set up if you don't have knowledge about how the database works."
"The user interface is not as friendly as Oracle, which is something that can be improved."
"They could provide more documentation and examples for adding pipeline stages."
"The free tools, like MongoDB Compass, could be enhanced."
 

Pricing and Cost Advice

"Milvus is an open-source solution."
"Milvus is an open-source solution."
"This is an open-source solution."
"The pricing is normal. Price-wise, the product is not too much expensive."
"At the moment, all customers are using the community version."
"MongoDB is an open-source solution."
"I believe that MongoDB is free."
"I believe that the licensing fees are paid on a yearly basis."
"The solution is open source so is free."
"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
11%
Manufacturing Company
10%
Comms Service Provider
9%
Financial Services Firm
9%
Financial Services Firm
15%
Manufacturing Company
8%
Outsourcing Company
8%
Comms Service Provider
7%
 

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

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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.
 

Comparisons

 

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: September 2026.
913,806 professionals have used our research since 2012.