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Milvus vs PostgreSQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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
Ranking in Vector Databases
11th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
PostgreSQL
Ranking in Open Source Databases
2nd
Ranking in Vector Databases
8th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
127
Ranking in other categories
No ranking in other categories
 

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 PostgreSQL is 13.1%, down from 18.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
PostgreSQL13.1%
Milvus4.8%
Other82.1%
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.
Shobhit Goel - PeerSpot reviewer
Data Science Architect at publicis Sapient
High-volume transactions have reduced failures and improve customer service efficiency
The best feature is performance, because of which I decided on PostgreSQL. I have also enabled the PG vector plugin on top of PostgreSQL. I have the opportunity to use two different features and two different flavors in a single product, which is the best thing about PostgreSQL. Initially, we had some hiccups around the performance part, but later we did indexing in PostgreSQL and now it is working very well. Even when we are doing 100,000 transactions in a day, PostgreSQL is working excellently. The interface is another best feature. If I need to do any query, I simply install the plugin on my local, which is pgAdmin. Through pgAdmin, I am able to communicate with PostgreSQL and execute all my SQL queries. I am getting a better UI with PostgreSQL as the backend, which is also one of the best options. PG vector is also very strong from PostgreSQL where I have implemented RAG and on a daily basis, I inject thousands of pages of PDF. More than 100 PDFs are coming into my system and one PDF is around 1,000 pages. We are injecting them into PostgreSQL and converting them into dimensions and inserting them into PG vector. The level of transactions we are doing on a daily basis is substantial, and we are getting very good throughput and low latency from PostgreSQL. When we were doing more than 50,000 transactions in a minute with the previous database, we were getting a lot of latency issues with threads getting blocked and abruptly closed unwantedly. After doing extensive research, we decided to move to PostgreSQL. Now, we are doing around 100,000 transactions in PostgreSQL and we are getting good throughput with no latency.

Quotes from Members

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

Pros

"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."
"Milvus has good accuracy and performance."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"I like the accuracy and usability."
"PostgreSQL is the only open source and multi-functional database solution out in the market today."
"I recommend PostgreSQL without doubt because my experience of almost 20 years with this product has shown me that PostgreSQL has certain features that make it highly reliable: high scalability, robustness, available for multiple platforms, extensible with little effort and without additional cost, designed for high volume environments, easy to manage and extensive online support."
"The tool is user-friendly."
"The built-in code procedural language is the most valuable. It has a built-in layer for code procedures. Its installation is very easy and quick, and it is free. It is also stable, and its performance is also good."
"It's quite scalable."
"It's very stable."
"The product is quite flexible."
"Initial setup is simple."
 

Cons

"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"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."
"Replication is not so powerful in later versions"
"It would be great if the solution offered even more integration capabilities."
"Scalability; Although PostgreSQL is known for handling very well large amounts of workload, NoSQL databases performs better when scaling."
"They need to work towards making it work better in a cloud environment."
"PostgreSQL’s performance could be improved."
"It could be more secure."
"Improved support for parallel query execution Merge Joins Improved Handling of Materialized Views"
"There are some products out there that have a slightly different method of implementation for the SQL language. Some of those are slightly better in some areas, and PostgreSQL is slightly better in some areas."
 

Pricing and Cost Advice

"Milvus is an open-source solution."
"Milvus is an open-source solution."
"It is free. There is no license on it."
"The tool is cheaply priced compared to other RDBMS providers in the market."
"The licensing model is good."
"PostgreSQL is open-source, so if capable admins are available then the setup cost can be $0."
"The community version of Postgre is basically free."
"It is an open-source platform."
"The need for our customers to pay for licences is contingent on their projects and budgets."
"Our company pays for it. There are free versions available, but for advanced features, you obviously have to pay."
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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
12%
Computer Software Company
10%
Comms Service Provider
10%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business57
Midsize Enterprise27
Large Enterprise48
 

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...
How does Firebird SQL compare with PostgreSQL?
PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...
What is your experience regarding pricing and costs for PostgreSQL?
I purchased from the marketplace, so licensing and pricing cost is acceptable. To be honest, there is a separate team who handles the cost of licensing everything. I have admin access on Azure and ...
What needs improvement with PostgreSQL?
The only thing for PG vector is if the dimension limit could be increased. Currently, the dimension limit is around 1,000 to 1,052. If I need to increase the dimension to 3,000 or 5,000, that optio...
 

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
1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg
Find out what your peers are saying about Milvus vs. PostgreSQL and other solutions. Updated: May 2026.
900,644 professionals have used our research since 2012.