Try our new research platform with insights from 80,000+ expert users

Pros & Cons summary

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.
Get the category report

Prominent pros & cons

PROS

Milvus has good accuracy and performance.
Milvus is well containerized, enabling quick and easy scaling.
Milvus excels in finding the closest chunk from a large dataset.
Milvus offers multiple vector similarity calculation methods like L2 norm and cosine similarity.
Accuracy and usability are highlighted as strengths of Milvus.

CONS

Milvus has higher resource consumption, which introduces complexity in implementation.
Milvus' documentation is not very user-friendly and doesn't help users get started quickly.
Storing excessive data in Milvus can make it slow and prone to malfunction.
Milvus could simplify its requirements and increase accessibility.
Milvus could be more user-friendly.
 

Milvus Pros review quotes

Arucy Lionel - PeerSpot reviewer
Co-Founder at Afriziki
Nov 27, 2023
Milvus has good accuracy and performance.
Sameer Bhangale - PeerSpot reviewer
Leader, Data Science Practice at a computer software company with 5,001-10,000 employees
Apr 22, 2024
The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly.
AJ
Software Development Engineer 3 at a tech services company with 10,001+ employees
Apr 27, 2024
The best feature of Milvus was finding the closest chunk from a huge amount of data.
Find out what your peers are saying about The Milvus Project, LanceDB, Meta and others in Open Source Databases. Updated: January 2026.
880,490 professionals have used our research since 2012.
Rushikesh Patki - PeerSpot reviewer
Machine Learning Engineer at a consumer goods company with 51-200 employees
May 13, 2024
I like the accuracy and usability.
 

Milvus Cons review quotes

Arucy Lionel - PeerSpot reviewer
Co-Founder at Afriziki
Nov 27, 2023
Milvus has higher resource consumption, which introduces complexity in implementation.
Sameer Bhangale - PeerSpot reviewer
Leader, Data Science Practice at a computer software company with 5,001-10,000 employees
Apr 22, 2024
Milvus' documentation is not very user-friendly and doesn't help me get started quickly.
AJ
Software Development Engineer 3 at a tech services company with 10,001+ employees
Apr 27, 2024
I've heard that when we store too much data in Milvus, it becomes slow and does not work properly.
Find out what your peers are saying about The Milvus Project, LanceDB, Meta and others in Open Source Databases. Updated: January 2026.
880,490 professionals have used our research since 2012.
Rushikesh Patki - PeerSpot reviewer
Machine Learning Engineer at a consumer goods company with 51-200 employees
May 13, 2024
Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly.