Milvus vs Supabase Vector comparison

The Milvus Project and Supabase are both solutions in the Vector Databases category. The Milvus Project is ranked #11 with an average rating of 7.0, while Supabase is ranked #6 with an average rating of 8.6. The Milvus Project holds a 6.8% mindshare in VD, compared to Supabase’s 6.3% mindshare. Additionally, 100% of The Milvus Project users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Milvus

Read 5 Milvus reviews

4,205 Views
3,532 Comparison Views

100% willing to recommend

Supabase Vector

Read 7 Supabase Vector reviews

3,028 Views
3,028 Comparison Views

100% willing to recommend

Milvus

Supabase Vector

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 5, 2025

Milvus and Supabase Vector are competitors in the vector database market. Milvus is preferred for its performance and scalability, while Supabase Vector is noted for its integration capabilities and user-friendly approach.

Features: Milvus focuses on flexible scalability, robust data management, and optimized retrieval capabilities for large datasets. Supabase Vector emphasizes seamless integration with existing databases, developer-friendly features, and ease of use.

Ease of Deployment and Customer Service: Supabase Vector is favored for its straightforward and fast deployment process and comprehensive support, making it easily accessible. Milvus requires a more complex setup but supports detailed documentation and active community forums.

Pricing and ROI: Milvus has a pricing model tailored for its performance features, which results in long-term benefits and positive ROI for larger enterprises. Supabase Vector offers more cost-effective options with quick ROI due to lower setup costs, appealing to startups and smaller projects.

To learn more, read our detailed Milvus vs. Supabase Vector Report (Updated: April 2026).

Buyer's Guide

Milvus vs. Supabase Vector

April 2026

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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 Vector Databases

11th

Average Rating

7.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Open Source Databases (11th)

Supabase Vector

Ranking in Vector Databases

6th

Average Rating

8.8

Reviews Sentiment

5.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Vector Databases category, the mindshare of Milvus is 6.8%, down from 8.4% compared to the previous year. The mindshare of Supabase Vector is 6.3%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Supabase Vector	6.3%
Milvus	6.8%
Other	86.9%

Vector Databases

Featured Reviews

reviewer2395743

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.

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Samir Patil

Co-Founder & CTO at Mango Giraffe

Intelligent recommendations have transformed news articles and connect readers with relevant products

Supabase Vector specifically helped us match the relevant products to the articles and users through vector embedding, which has been a huge help. Supabase also has a lot of connections or trigger functions that you can use and manage from the dashboard itself, making it pretty helpful and useful. The best features Supabase Vector offers include trigger functions and easy management from the dashboard. Triggering Postgres functions from the dashboard and enabling vector embedding, along with downloading those PG extensions, was super easy. Out of those features, I find the entire dashboard to be the quickest part, along with using and testing the functions with the SQL editor, which is simple and straightforward. Supabase Vector has positively impacted my organization by significantly reducing our testing time. Initially, when we used a traditional RDS database, our engineer struggled with proper testing, but once we moved to Supabase Vector, it got super easy with the dashboard and everything being clear. We shared credentials across giving access to our internal developers, allowing them to access and test cosine similarities of the vector, making the process simple compared to the complexity of connecting via terminal and SSH. I estimate that we saved a lot of time after switching to Supabase Vector; it took us just two days to fully do the entire end-to-end testing setup. Initially, we planned it would take us more than two weeks if we had followed the normal route without using Supabase Vector, such as normal Postgres setups on a cloud server.

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Quotes from Members

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

Pros

"Milvus has good accuracy and performance."

"I like the accuracy and usability."

"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 best feature of Milvus was finding the closest chunk from a huge amount of data."

"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."

"Supabase Vector has positively impacted our organization as it is very convenient since our business databases are already hosted in Supabase, making integration easy."

"Supabase Vector rapidly increases the speed and efficiency with which I search through a database, helping with my data analysis tasks."

"Supabase Vector positively impacts my organization by reducing the cost of the LLMs."

"Supabase enables us to lower the skill floor while keeping the ceiling high."

"We completed what we initially estimated as a fifteen-day job in just three days, thanks to the Supabase dashboards and triggers."

"The platform's role-level security feature is quite effective for spatial data management."

"Supabase Vector is easy to set up and cost-effective because the alternative is Firebase, which requires a credit card."

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 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."

"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."

"I notice that the schema visualizer can be improved. Additionally, the internal AI assistant powered by GPT can also be improved."

"I think the support system can be better because after Supabase Vector stopped working in India, there is no support."

"I think there are still many Postgres features that can be developed further by the Supabase team."

"One improvement I feel Supabase Vector could benefit from is that Supabase SDK stands out when comparing with a conventional Postgres SDK, and it would be even nicer if we could have a more direct way for access."

Pricing and Cost Advice

"Milvus is an open-source solution."

"The solution's cost is reasonable compared to other solutions."

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899,052 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

Manufacturing Company

University

Comms Service Provider

13%

Manufacturing Company

Financial Services Firm

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	2

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...

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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...

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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...

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What is your experience regarding pricing and costs for Supabase Vector?

I do not feel anything special about the pricing, setup cost, and licensing; we just regularly pay whatever we need, and I do not feel much difference.

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What needs improvement with Supabase Vector?

One improvement I feel Supabase Vector could benefit from is that Supabase SDK stands out when comparing with a conventional Postgres SDK, and it would be even nicer if we could have a more direct ...

See all answers

What is your primary use case for Supabase Vector?

Our main use case for Supabase Vector is to use pgvector as the vector database solution to store our embeddings for large language model applications. A specific example of how I'm using Supabase ...

See all answers

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Compared 7% of the time

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Compared 7% of the time

Faiss vs Milvus

Compared 4% of the time

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Compared 16% of the time

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Compared 15% of the time

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Compared 11% of the time

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Compared 9% of the time

Weaviate Enterprise Cloud vs Supabase Vector

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Product Reports

Buyer's Guide

Open Source Databases

June 2026

Download Milvus product report

Buyer's Guide

Supabase Vector

May 2026

Download Supabase Vector product report

Overview

Milvus is a powerful tool for efficiently storing and retrieving large-scale vectors or embeddings. It is widely used in applications such as similarity search, recommendation systems, image and video retrieval, and natural language processing.

With its fast and accurate search capabilities, scalability, and support for multiple programming languages, Milvus is suitable for a wide range of industries and use cases.

Users appreciate its efficient search capabilities, ability to handle large-scale data, support for various data types, and user-friendly interface.

Milvus enables easy retrieval of information from vast datasets, regardless of the data format, and is praised for its high performance and scalability. The intuitive and easy-to-use interface is also highlighted as a valuable aspect of the platform.

The Milvus Project

Supabase Vector offers an efficient way to manage and query vector embeddings, catering to the needs of developers and data scientists seeking scalable solutions for vector-based data handling.

Supabase Vector is designed to streamline the process of storing, managing, and querying vector embeddings, essential for applications like machine learning algorithms and personalized recommendations. Its intuitive API and integration capabilities make it a preferred choice for tech professionals seeking a reliable backend for their vector data requirements. With flexible storage options and robust querying features, it accommodates the dynamic demands of AI-driven projects.

What are its key features?

Seamless Integration: Connects effortlessly with databases, making it simple to incorporate into existing projects.
Scalable Storage: Allows for efficient storage of large volumes of vector data, accommodating growth in usage.
Flexible Queries: Supports complex queries, facilitating advanced data analysis and insights.
Real-Time Updates: Ensures that data remains current with instantaneous updates.
Developer-Friendly: Comes with comprehensive documentation and an intuitive API for ease of use.

What benefits or ROI should users look for?

Increased Efficiency: Streamlines data management, reducing time spent on backend development.
Cost Effectiveness: Offers scalable options that can save on infrastructure and maintenance costs.
Enhanced Accuracy: Delivers precise query results, improving decision-making processes.
Improved Developer Productivity: Simplifies complex tasks, allowing developers to focus on more critical activities.

Supabase Vector can be particularly beneficial in industries such as e-commerce for personalized product recommendations, in finance for fraud detection through pattern analysis, and in healthcare for patient data insights. Its capability to handle diverse sets of embeddings makes it versatile across different sectors needing robust data processing tools.

Supabase

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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Buyer's Guide

Milvus vs. Supabase Vector

April 2026

Free Report: Milvus vs. Supabase Vector

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