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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
14th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Vector Databases (14th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
7th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
NoSQL Databases (2nd), Managed NoSQL Databases (6th)
 

Mindshare comparison

As of August 2026, in the Open Source Databases category, the mindshare of Milvus is 4.7%, down from 5.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 6.5%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced6.5%
Milvus4.7%
Other88.8%
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

"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."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"Milvus has good accuracy and performance."
"The solution has good flexibility and very fast performance for searching data."
"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."
"It can handle a lot of files quickly."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"Based on our experience so far, it is stable."
"The solution is user-friendly with a good object retrieval feature."
"The solution scales very well and is very easy to replicate."
"The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."
 

Cons

"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."
"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."
"Overall the solution is expensive."
"I think that MongoDB's search engine should be improved."
"The solution can be a bit tough to set up if you don't have knowledge about how the database works."
"The scalability of the product is acceptable, but with MongoDB, the big problem is the cost."
"There is an enterprise license and it could be cheaper."
"I have found the solution difficult to operate as an administrator."
"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."
 

Pricing and Cost Advice

"Milvus is an open-source solution."
"Milvus is an open-source solution."
"I'm using the free version of MongoDB."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"At the moment, all customers are using the community version."
"I believe that the licensing fees are paid on a yearly basis."
"You only have to pay for the paid version, not the open-source version."
"Our customers pay for yearly licenses for MongoDB."
"MongoDB is not expensive."
"MongoDB is a bit expensive compared to its competitors."
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Top Industries

By visitors reading reviews
Computer Software Company
12%
Financial Services Firm
9%
Manufacturing Company
9%
University
8%
Financial Services Firm
15%
Manufacturing Company
8%
Construction Company
7%
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

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.
 

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: August 2026.
908,858 professionals have used our research since 2012.