Microsoft Azure Cosmos DB vs Milvus comparison

Microsoft and The Milvus Project are both solutions in the Vector Databases category. Microsoft is ranked #1 with an average rating of 8.2, while The Milvus Project is ranked #9 with an average rating of 7.4. Microsoft holds a 4.4% mindshare in VD, compared to The Milvus Project’s 8.1% mindshare. Additionally, 95% of Microsoft users are willing to recommend the solution, compared to 100% of The Milvus Project users who would recommend it.

Microsoft Azure Cosmos DB

Read 102 Microsoft Azure Cosmos DB reviews

6,178 Views
2,409 Comparison Views

95% willing to recommend

Milvus

Read 5 Milvus reviews

3,163 Views
2,910 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Milvus

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 13, 2025

Azure Cosmos DB and Milvus are both strong competitors in the scalable and flexible data management solutions category. Azure Cosmos DB leads with global distribution capabilities and wide-ranging support for various data models, but Milvus is a frontrunner in vector data handling for AI and machine learning.

Features: Azure Cosmos DB offers global distribution, low-latency access, and multimodal support for key-value, graph, and document data models. It's designed for high availability and integrates seamlessly with other Microsoft services. Milvus excels with powerful vector search capabilities, support for distributed computing, and high scalability, specifically catering to AI/ML and analytics.

Room for Improvement: Azure Cosmos DB could improve in areas such as refining its cost management model, enhancing vector data handling capabilities, and improving user onboarding for non-Microsoft ecosystems. Milvus might benefit from expanding its customer support network, improving ease of use for less technically inclined users, and increasing integrations with third-party platforms.

Ease of Deployment and Customer Service: Azure Cosmos DB is easy to deploy for organizations within the Microsoft ecosystem, boasting robust support and comprehensive resources. Milvus, being open-source, offers deployment flexibility through containerized solutions, though it requires a higher technical capability and lacks the extensive support network of Microsoft.

Pricing and ROI: Azure Cosmos DB utilizes a consumption-based pricing model, making it potentially costly if not monitored, but the benefits of global reach and performance can justify these costs. Milvus presents a cost-effective solution with lower initial setup costs, appealing to AI-driven organizations that focus on vector data analysis. While Azure Cosmos DB offers a higher ROI for general use cases, Milvus is advantageous in specialized AI/ML applications.

To learn more, read our detailed Microsoft Azure Cosmos DB vs. Milvus Report (Updated: July 2025).

Buyer's Guide

Microsoft Azure Cosmos DB vs. Milvus

July 2025

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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

Microsoft Azure Cosmos DB

Ranking in Vector Databases

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

102

Ranking in other categories

Database as a Service (DBaaS) (6th), NoSQL Databases (3rd), Managed NoSQL Databases (1st)

Milvus

Ranking in Vector Databases

9th

Average Rating

7.4

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Open Source Databases (10th)

Mindshare comparison

As of August 2025, in the Vector Databases category, the mindshare of Microsoft Azure Cosmos DB is 4.4%, up from 0.1% compared to the previous year. The mindshare of Milvus is 8.1%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

MichaelJohn

Director | Data & AI at a tech services company with 11-50 employees

Very efficient for application-facing scenarios

There are several areas for improvement. Firstly, having a local development emulator or simulator for Azure Cosmos DB would be beneficial. It would be very handy to have a Docker container that developers can use locally. Although, I know there is a free tier and so on and so forth, having a local environment would be nice. For example, SQL Server is very portable. You can even install it on your machine. That is the number one thing that is missing in Azure Cosmos DB. The second improvement area is the IDE of choice. That means how you interact with Azure Cosmos DB. For example, with SQL Server, you have SQL Server Management Studio. I know there is a little bit of support for Azure Cosmos DB in Azure Data Studio, but it is not heavily advertised or it does not feel like first-class citizen support. Developer experience or developer tooling is missing in terms of interacting with the database. Better developer tools or an IDE for interacting with Azure Cosmos DB would enhance the developer experience. Lastly, there is some mixed messaging about what Azure Cosmos DB is, given its multiple APIs. There are so many Azure Cosmos DB APIs available. There is NoSQL. There are MongoDB, Gremlin, and others. There is still some mixed messaging for others who are new to Azure Cosmos DB about what Azure Cosmos DB is. Is this like MongoDB, but then there is also MongoDB in Azure Cosmos DB? I know it well, and I know that the default one is just NoSQL, but others I have interacted with over the last ten years or so get confused.

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Sameer Bhangale

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.

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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

"Cosmos is preferred because of its speed, robustness, and utilization. We have all the merchandising information in Cosmos DB, which provides concrete and optimized data when searching for new products on the site. It is faster than other relational databases."

"Its wide support to the ecosystem is valuable. We can use this database with a lot of use cases, and that's one of the reasons why we prefer it. We have a lot of vendors, databases, and use cases, and wherever possible, we are trying to standardize databases. It is also secure."

"Microsoft Azure Cosmos DB offers exceptional stability, boasting a reliability rating of 99.95 percent."

"The most valuable feature of the solution is that it is scalable with multiple master files."

"Change notification works well, and the ability to process documents in a scalable way is important. This means we can efficiently thread out different operations and meet our organizational performance and scalability needs."

"The product has a lot of useful features that are there and ready to use, it's also very easy to use."

"The most valuable features for our organization with Azure Cosmos DB are multi-master capability for applications, automatic failover ensuring high availability, scalability, support for multiple data models, and low-latency access."

"Cosmos DB has helped us by providing faster response times for everything, which significantly improved our search results quality."

More Microsoft Azure Cosmos DB pros

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

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

"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."

"Milvus has good accuracy and performance."

Cons

"Microsoft's support services are inadequate, especially during critical incidents."

"There are multiple approaches to implementing multitenant architecture on Azure Cosmos DB, but there is still no single or best-recommended approach when you have a big variance in the size of your tenants. That is something that still needs to be worked on."

"One of our biggest pain points is the backup and restore functionality needs improvement."

"A minor improvement would be enabling batch operations through the UI. Currently, to delete all documents in a collection, we must use an API, which some of my team finds inconvenient for admin tasks."

"The tool's pricing is expensive."

"It is easy to use, but optimization has been a mixed experience. It has been more of trying to figure out how to do so. We have not found much support there, so we have to come up with our own way of optimizing it in different ways. That is one area of improvement."

"In Microsoft Azure Cosmos DB, I would suggest improvements in security."

"The query searching functionality has some complexities and could be more user-friendly."

More Microsoft Azure Cosmos DB cons

"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."

"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."

Pricing and Cost Advice

"The pricing is perceived as being on the higher side. However, if you have large data operations, it might reduce costs due to performance efficiencies."

"The RU's use case determines our license fees."

"From a startup point of view, it appears to be expensive. If I were to create my startup, it would not have the pricing appeal compared to the competition, such as Supabase. All those other databases are well-advertised by communities. I know there is a free tier with Azure Cosmos DB. It is just not well advertised."

"For the cloud, we don't pay for the license, but for the on-prem versions, we do pay."

"Its cost is transparent. Pricing depends on the transaction and data size, but overall, it is cheaper compared to hosting it on your corporate network due to other factors like power consumption."

"Its pricing is higher compared to solutions like Aerospike. However, it is justified because of the out-of-the-box features that are provided. The availability and resiliency that we have make it worth the price."

"Cost isn’t a big hurdle for us right now. The solution is not costly."

"Cosmos DB is expensive compared to any virtual machine based on conventional RDBMS like MySQL or PostgreSQL."

More Microsoft Azure Cosmos DB pricing and cost advice

"Milvus is an open-source solution."

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Top Industries

By visitors reading reviews

Legal Firm

13%

Financial Services Firm

10%

Comms Service Provider

10%

Computer Software Company

20%

Manufacturing Company

10%

Financial Services Firm

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Microsoft Azure Cosmos DB?

The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

The pricing for Microsoft Azure Cosmos DB is good, but there is a developer factor to consider. It could be economical or expensive depending on usage. Guidance about query consumption of Request U...

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What needs improvement with Microsoft Azure Cosmos DB?

The only area Microsoft Azure Cosmos DB can improve on is its documentation; while it is solid and very useful, enhancements in the indexing documentation would help users save costs and make it mo...

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What do you like most about Milvus?

I like the accuracy and usability.

See all answers

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...

See all answers

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...

See all answers

Comparisons

Chroma vs Microsoft Azure Cosmos DB

Compared 11% of the time

Pinecone vs Microsoft Azure Cosmos DB

Compared 10% of the time

MongoDB Enterprise Advanced vs Microsoft Azure Cosmos DB

Compared 6% of the time

Amazon DynamoDB vs Microsoft Azure Cosmos DB

Compared 6% of the time

Neo4j Graph Database vs Microsoft Azure Cosmos DB

Compared 6% of the time

More Microsoft Azure Cosmos DB Competitors

LanceDB vs Milvus

Compared 16% of the time

Elastic Search vs Milvus

Compared 13% of the time

Supabase Vector vs Milvus

Compared 9% of the time

MongoDB Enterprise Advanced vs Milvus

Compared 9% of the time

MyScale vs Milvus

Compared 3% of the time

More Milvus Competitors

Product Reports

Buyer's Guide

Microsoft Azure Cosmos DB

August 2025

Download Microsoft Azure Cosmos DB product report

Buyer's Guide

Open Source Databases

July 2025

Download Milvus product report

Also Known As

Microsoft Azure DocumentDB, MS Azure Cosmos DB

No data available

Overview

Microsoft Azure Cosmos DB is a globally distributed, multi-model database service providing scalability, user-friendliness, and seamless integration, suitable for managing large volumes of structured and unstructured data across diverse applications.

Azure Cosmos DB is renowned for its scalability, stability, and ease of integration, offering robust support for multiple data models and APIs. Its capacity for handling unstructured data efficiently and providing real-time analytics makes it ideal for applications requiring high performance and global distribution. With features like automatic failover and integration with Microsoft products, users benefit from cost optimization and secure data handling. Enhancement opportunities include simplifying queries, improving documentation, and expanding backup and analytics functionalities.

What are the most important features of Microsoft Azure Cosmos DB?

Scalability and Autoscaling: Efficiently handles growing data and user demands.
Multi-Model Support: Adapts to different data models seamlessly.
Global Distribution: Provides low-latency access across multiple regions.
Automatic Failover: Ensures high availability and reliability.
Integration with Microsoft Products: Offers seamless connectivity with Azure services.

What benefits should users look for in Microsoft Azure Cosmos DB reviews?

Performance and Speed: Exceptionally fast processing for real-time data analytics.
Cost Optimization: Tools for managing expenses effectively.
Secure Data Handling: Implements strong data security measures.
Flexible Data Ingestion: Supports diverse data ingestion methods.

Azure Cosmos DB is frequently used in sectors like web, mobile, IoT, and analytics. It supports applications as a key-value store, processes real-time data, and enables global scalability with low-latency access. Its big data management capabilities and integration with Azure services enhance its utility across industries.

Microsoft

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

Sample Customers

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify

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

Buyer's Guide

Microsoft Azure Cosmos DB vs. Milvus

July 2025

Free Report: Microsoft Azure Cosmos DB vs. Milvus

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