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Cassandra vs Milvus comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 2025

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

Cassandra
Ranking in Vector Databases
12th
Average Rating
8.0
Reviews Sentiment
6.0
Number of Reviews
25
Ranking in other categories
NoSQL Databases (5th)
Milvus
Ranking in Vector Databases
13th
Average Rating
7.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Open Source Databases (14th)
 

Mindshare comparison

As of September 2026, in the Vector Databases category, the mindshare of Cassandra is 3.9%, up from 1.9% compared to the previous year. The mindshare of Milvus is 7.0%, down from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Cassandra3.9%
Milvus7.0%
Other89.1%
Vector Databases
 

Featured Reviews

Monirul Islam Khan - PeerSpot reviewer
Head, Data Integration & Management at a non-profit with 10,001+ employees
Has maintained secure document storage and efficient data distribution with peer-to-peer architecture
The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.
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.

Quotes from Members

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

Pros

"Cassandra is good, it's better than CouchDB, and we are using it in parallel with CouchDB, as Cassandra looks better and is more user-friendly."
"Setup was very straightforward."
"The most valuable features are the counter features and the NoSQL schema, and it also has good scalability because you can scale Cassandra to any infinite level."
"We have experienced zero downtime using Cassandra, it is highly stable."
"I'd rate the solution ten out of ten."
"Our primary use case for the solution is testing."
"I am satisfied with the performance; so far it has done fairly well and there haven't been any complaints."
"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"Milvus has good accuracy and performance."
"I like the accuracy and usability."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"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."
 

Cons

"The interface could definitely be improved. It's a technical database and for me the features are not user friendly."
"The disc space is lacking. You need to free it up as you are working."
"Cassandra could be more user-friendly like MongoDB."
"Fine-tuning was a bit of a challenge."
"The solution is limited to a linear performance."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"One of the issues with the solution is that you cannot drop write like you're able to in MongoDB and MySQL, where you can join tables."
"Interface is not user friendly."
"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."
"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."
"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
 

Pricing and Cost Advice

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"I use the tool's open-source version."
"We pay for a license."
"We are using the open-source version of Cassandra, the solution is free."
"I don't have the specific numbers on pricing, but it was fairly priced."
"Milvus is an open-source solution."
"Milvus is an open-source solution."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise14
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?
The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...
What needs improvement with Cassandra?
Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...
What is your primary use case for Cassandra?
My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...
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Comparisons

 

Overview

 

Sample Customers

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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
Find out what your peers are saying about Cassandra vs. Milvus and other solutions. Updated: August 2026.
913,806 professionals have used our research since 2012.