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Milvus vs Supabase Vector comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Milvus
Ranking in Vector Databases
7th
Average Rating
7.4
Number of Reviews
5
Ranking in other categories
Open Source Databases (10th)
Supabase Vector
Ranking in Vector Databases
15th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Sameer Bhangale - PeerSpot reviewer
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.
Kaustubh Sule - PeerSpot reviewer
Easy to use, and there is no need to get involved in any tedious deployment process
If you are a business building a social media app, there will be thousands of users for every such app. Each user will have a post or something. When multiple users try to hit the like button on your post or try to comment on your post, each of them would be an API request, and Supabase Vector does not charge for them like. The API requests are kind of unlimited. If you compare Supabase Vector to any of the other services like Firebase, AWS, or Azure, all the tools charge per request. From a scalability standpoint, if you are a small-scale startup and you have around 1,00,000 or 2,00,000 users, then Supabase Vector is a perfect choice for you. I have never heard about any scalability issues in the product. Scalability-wise, I rate the solution a ten of ten.

Quotes from Members

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

Pros

"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."
"I like the accuracy and usability."
"Milvus has good accuracy and performance."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"The tool is easy to use."
"The platform's role-level security feature is quite effective for spatial data management."
 

Cons

"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."
"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."
"The support for React Native CLI is an area with certain shortcomings where improvements are required."
"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."
 

Pricing and Cost Advice

"Milvus is an open-source solution."
"Milvus is an open-source solution."
"The solution's cost is reasonable compared to other solutions."
"As per the product's regular pricing plans, the tools are available to users for 20 to 25 USD per month."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Manufacturing Company
10%
Financial Services Firm
9%
Educational Organization
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about Milvus?
I like the accuracy and usability.
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 is your experience regarding pricing and costs for Supabase Vector?
The solution's cost is reasonable compared to other solutions. We currently use the standard plan, which costs about $480 annually, and may switch to a full data plan depending on project needs. I ...
What needs improvement with Supabase Vector?
One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP. Expanding the support for complex transactional queries and enhancing ...
What is your primary use case for Supabase Vector?
We use the product primarily to handle data models and API integrations. It simplifies security setup, API documentation generation, and database management.
 

Comparisons

 

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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
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Find out what your peers are saying about Milvus vs. Supabase Vector and other solutions. Updated: October 2024.
816,660 professionals have used our research since 2012.