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Microsoft Azure Cosmos DB vs Qdrant comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

Review summaries and opinions

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

ROI

Sentiment score
6.1
Microsoft Azure Cosmos DB improves ROI for many users due to features like auto-scaling, reducing costs with proper optimization.
Sentiment score
5.1
Qdrant offers financial benefits by reducing costs, improving efficiency, and boosting productivity through enhanced response times and HNSW searching.
You can react quickly and trim down the specs, memory, RAM, storage size, etc. It can save about 20% of the costs.
Co-Founder at arpa
When I have done comparisons or cost calculations, I have sometimes personally seen as much as 25% to 30% savings.
Solutions Architect at CompuNet
It's an excellent option for NoSQL or semi-structured data because our agreements start as a morass of raw data from PDF, OCR PDF, or paper OCR scans.
Vice President, Technology, Strategy & Architecture at Docusign
Thanks to Qdrant's open-source nature, our initial licensing and setup costs were nearly zero, allowing for swift testing and launch of our RAG prototype.
Automation Engineer at a educational organization with 11-50 employees
This lowers our LLM input token consumption by roughly 30 to 40 percent, translating directly into lower monthly OpenAI API bills.
MLOps Engineer at a tech services company with 501-1,000 employees
The time saved is substantial, with nearly three weeks or more for projects deployed with Qdrant Cloud in no-code platforms.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
 

Customer Service

Sentiment score
6.7
Microsoft Azure Cosmos DB customer service is generally positive, offering fast assistance, varying by support tier and specialist quality.
Sentiment score
4.4
Qdrant's customer service is lauded for its excellent support, active community, and comprehensive documentation, reducing direct support needs.
Premier Support has deteriorated compared to what it used to be, especially for small to medium-sized customers like ours.
Head of IT, Infrastructure, Operations & Applications Development at a manufacturing company with 201-500 employees
I would rate the technical support for Microsoft Azure Cosmos DB around 9.5 on a scale of one to ten.
Technical Manager at Infosys
Providing excellent transparency and high-quality postmortem reviews during incidents.
Vice President, Technology, Strategy & Architecture at Docusign
It's open source, so we house it on our server.
Chief Ai Scientist at Predictive Systems
The documentation provided by Qdrant covers most queries effectively.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Qdrant's customer support is responsive and developer-focused.
MLOps Engineer at a tech services company with 501-1,000 employees
 

Scalability Issues

Sentiment score
7.6
Microsoft Azure Cosmos DB is praised for its scalability, efficient performance, and cost management despite some partition challenges.
Sentiment score
5.2
Qdrant excels in scalability, handling large data sets with efficient sharding, supporting rapid expansion and improved performance in Docker.
The system scales up capacity when needed and scales down when not in use, preventing unnecessary expenses.
Associate Software Architect at a tech vendor with 51-200 employees
We like that it can auto-scale to demand, ensuring we only pay for what we use.
CTO at Stellium Consulting
We have had no issues with its ability to search through large amounts of data.
Full Stack Software Developer at a tech vendor with 10,001+ employees
In the recruiting agency project, the reliance on the vector database has expanded from storing hundreds of resumes to thousands.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
When Qdrant is deployed in Docker, it scales really fast, and you can assign multiple CPUs to enhance performance.
Analyst at Synergy Connect
Qdrant is highly scalable, supporting both vertical and horizontal scaling across massive vector data sets.
MLOps Engineer at a tech services company with 501-1,000 employees
 

Stability Issues

Sentiment score
7.6
Microsoft Azure Cosmos DB is praised for stability and scalability, though complex configuration and occasional regional issues exist.
Sentiment score
7.8
Qdrant is reliable and accurate with high recall, precise vector matching, but requires regular updates and suffers inactive cloud termination.
We have multiple availability zones, so nothing goes down.
Hands on user at a manufacturing company with 10,001+ employees
Azure Cosmos DB would be a good choice if you have to deploy your application in a limited time frame and you want to auto-scale the database across different applications.
Associate Data Analytics L1 at a computer software company with 10,001+ employees
I would rate it a ten out of ten in terms of availability and latency.
Azure Consultant at Deloitte
Built in Rust, it delivers sub-15 millisecond response times and rock-solid update and write-ahead logging to guarantee that newly indexed data is immediately searchable without dropping queries or producing inconsistent context for LLMs.
MLOps Engineer at a tech services company with 501-1,000 employees
You need to patch Qdrant as soon as patches are released.
Co Founder & CEO at SaYukth Private Limited
It is easy to use whether on LangChain or on its own.
Product Engineer at a tech vendor with 11-50 employees
 

Room For Improvement

Microsoft Azure Cosmos DB requires pricing simplification, API and integration improvements, and enhancements in performance, developer tools, and support.
Qdrant users seek improved clustering, schema updates, multi-query fusion, intuitive UI, integration, and enhancements in native tools and features.
We must ensure data security remains the top priority.
Cloud Solutions Architect and Microsoft Principal Consultant for EMEA at a tech vendor with 10,001+ employees
You have to monitor the Request Units.
Co-Founder at arpa
The dashboard could include more detailed RU descriptions, IOPS, and compute metrics.
Cloud Architect at a computer software company with 1,001-5,000 employees
Fast large-scale filtering operations could be implemented, such as automatic index suggestions, adaptive query planning, and smart indexing of metadata fields, which would make Qdrant even more efficient.
Product Engineer at a tech vendor with 11-50 employees
While it has clustering functionality, it is not easy to set up, and not everyone can configure the clustering, so there is room for improvement in the clustering configuration.
Co Founder & CEO at SaYukth Private Limited
Incorporating embedding features directly in Qdrant Cloud would eliminate the need to depend on external solutions.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
 

Setup Cost

Microsoft Azure Cosmos DB offers scalable, responsive, pay-as-you-go pricing with auto-scaling features but can have unpredictable costs.
Qdrant offers cost-effective, scalable solutions through open-source access and predictable pricing, suitable for enterprise scaling needs.
Cosmos DB is expensive, and the RU-based pricing model is confusing.
IT Data Architect & Manager at Ternium Mexico S.A. de C.V.
Cosmos DB is great compared to other databases because we can reduce the cost while doing the same things.
Lead Software Architect at CPower
It automatically scales to the demand, so we only pay for what we consume.
CTO at Stellium Consulting
The core product is open source under Apache 2.0, so initial experimentation and local integration testing cost nothing.
MLOps Engineer at a tech services company with 501-1,000 employees
Using Qdrant is free.
Chief Ai Scientist at Predictive Systems
Regarding pricing, setup costs, and licensing, since I am using only the free tier of Qdrant Cloud, there are no setup costs involved.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
 

Valuable Features

Microsoft Azure Cosmos DB excels in scalability, integration, speed, and security, making it ideal for diverse, efficient data handling.
Qdrant provides efficient, cost-effective search and deployment with advanced features, enhanced performance, and seamless cloud integration for AI projects.
The most valuable feature of Microsoft Azure Cosmos DB is its real-time analytics capabilities, which allow for turnaround times in milliseconds.
Vice President, Machine Learning at a healthcare company with 10,001+ employees
Performance and security are valuable features, particularly when using Cosmos DB for MongoDB emulation and NoSQL.
IT Data Architect & Manager at Ternium Mexico S.A. de C.V.
The performance and scaling capabilities of Cosmos DB are excellent, allowing it to handle large workloads compared to other services such as Azure AI Search.
CTO at Stellium Consulting
The ability of Qdrant to handle high-dimensional vectors for my AI projects is pretty fast, and I think it's the best we have used so far.
Chief Ai Scientist at Predictive Systems
An accuracy boost was definitely observed from 45 to 50% using Faiss to around 85 to 95% using Qdrant, and the users are really happy as they are getting suggested really good schemes that would take a lot of time to find.
Analyst at Synergy Connect
Qdrant supports high-dimension vectors and cosine similarity, which any vector database should have, and it is pretty fast.
CTO at Honeycomb AI
 

Categories and Ranking

Microsoft Azure Cosmos DB
Ranking in Vector Databases
1st
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
115
Ranking in other categories
Database as a Service (DBaaS) (4th), NoSQL Databases (1st), Managed NoSQL Databases (1st)
Qdrant
Ranking in Vector Databases
2nd
Average Rating
9.0
Reviews Sentiment
5.4
Number of Reviews
11
Ranking in other categories
Open Source Databases (5th), AI Data Analysis (6th)
 

Mindshare comparison

As of November 2026, in the Vector Databases category, the mindshare of Microsoft Azure Cosmos DB is 5.3%, down from 5.4% compared to the previous year. The mindshare of Qdrant is 6.4%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Cosmos DB5.3%
Qdrant6.4%
Other88.3%
Vector Databases
 

Featured Reviews

Aman-Narang - PeerSpot reviewer
Technical Manager at Infosys
Real-time messaging has transformed customer updates and now powers responsive AI experiences
The primary benefits of Microsoft Azure Cosmos DB include horizontal scalability. The main advantage is that it handles data growth without requiring database redesign when traffic increases. Low latency access is another key benefit, as read and write operations are very fast, which is extremely helpful for real-time applications. Flexibility is also valuable because Microsoft Azure Cosmos DB uses JSON schema format, which contrasts with traditional table schemas that require time-consuming changes. In modernization scenarios where client requirements change rapidly, Microsoft Azure Cosmos DB offers more flexible schema design. High availability is another important feature, as it is well-suited for business-critical systems. My overall experience using Microsoft Azure Cosmos DB with other Azure services shows that it is more flexible compared to SQL Database and more readable because of its JSON format, making it easy to understand. It is more interactive because viewing the Microsoft Azure Cosmos DB schema clearly shows what is happening in the application and what will be achieved. In contrast, SQL requires writing many queries to obtain details, making Microsoft Azure Cosmos DB more suitable and flexible. My team's experience developing with Microsoft Azure Cosmos DB SDKs and APIs has been very comfortable and easy to implement. We are currently migrating .NET applications to Python-based AI solutions using Copilot, where we performed reverse engineering and are moving to forward engineering. We use APIs to connect with Microsoft Azure Cosmos DB and manage database containers and items, performing CRUD operations such as create, delete, and read operations, and querying JSON. We are using REST APIs with Python-based solutions, with a service layer and Microsoft Azure Cosmos DB integration.
Pawel Cislo - PeerSpot reviewer
MLOps Engineer at a tech services company with 501-1,000 employees
Adaptive assistant has delivered faster grounded answers and has reduced token costs significantly
The main limitations I notice come down to developer experience and native features rather than performance. Building hybrid retrieval and fusion pipelines still requires considerable manual orchestration and code. Having more built-in multi-query fusion strategies natively inside Qdrant would be a significant time-saver. Additionally, managing dynamic metadata schemas and tracking index build progress during bulk ingest could be more transparent in the web UI. To make things easier for developers, Qdrant could provide more native tools for managing payload schema evolution over time. As metadata needs change in production RAG systems, updating existing payloads across large collections currently requires custom migration scripts. Built-in schema versioning and simpler automated index testing during CI/CD would make running Qdrant in rapidly evolving production environments even smoother. I rate Qdrant 9 out of 10 because its speed, sub-15 millisecond retrieval, and single-stage payload filtering make it top-tier for production RAG pipelines. I deduct one point mainly for developer experience. Setting up multi-query fusion still requires extra boilerplate code, payload metadata schema updates require custom migration scripts, and real-time visibility into HNSW graph indexing progress during bulk ingest could be improved in the web UI.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Outsourcing Company
11%
Legal Firm
10%
Manufacturing Company
9%
Comms Service Provider
13%
Manufacturing Company
12%
Financial Services Firm
10%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise24
Large Enterprise60
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?
I have knowledge about the pricing, setup cost, and licensing aspect of Microsoft Azure Cosmos DB.
What needs improvement with Microsoft Azure Cosmos DB?
Microsoft Azure Cosmos DB could improve cost and performance management to be more straightforward, particularly for teams managing workloads with variable traffic. More detailed and proactive reco...
What is your primary use case for Microsoft Azure Cosmos DB?
My main use case for Microsoft Azure Cosmos DB is to support application workloads that require a highly scalable, low latency NoSQL database. I primarily use it to store and manage semi-structured...
What is your experience regarding pricing and costs for Qdrant?
I find Qdrant's pricing and licensing extremely straightforward and cost-effective. The core product is open source under Apache 2.0, so initial experimentation and local integration testing cost n...
What needs improvement with Qdrant?
I do not have any suggestions for how Qdrant could be improved. So far, I like what has been done and I have used it several times. I have nothing to add to it now, and I do not wish to add more ab...
What is your primary use case for Qdrant?
My main use case for Qdrant is local AI development. A specific example of how I'm using Qdrant in my development work is that I use it for my RAG development using N8n. In my drug development work...
 

Also Known As

Microsoft Azure DocumentDB, MS Azure Cosmos DB
No data available
 

Overview

 

Sample Customers

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify
1. Airbnb 2. Amazon 3. Apple 4. BMW 5.Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10. HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18. Microsoft 19. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
Find out what your peers are saying about Microsoft Azure Cosmos DB vs. Qdrant and other solutions. Updated: September 2026.
920,929 professionals have used our research since 2012.