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Azure Database for PostgreSQL vs Qdrant comparison

 

Comparison Buyer's Guide

Executive Summary

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
4.9
Azure Database for PostgreSQL offers cost savings, efficiency, and flexibility, reducing operational costs and management time with a pay-as-you-go model.
Sentiment score
5.2
Qdrant's integration streamlined support ticket resolution, enhancing efficiency and cost-effectiveness through improved retrieval and self-service capabilities.
It offers at least 25 percent cost savings compared to maintaining on-premises databases.
Principle azure architect at Intercept
Now, we use embedded PostgreSQL vectors, which will undoubtedly reduce the TCO by using a much more cost-effective solution.
Head of cloud, data, and AI at BJSS
We've reduced our total ownership cost because we are not spending on expensive SQL server licenses.
Admin (hands on user) at a comms service provider with 11-50 employees
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
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
I have seen a significant return on investment from using Qdrant because it is very easy to integrate and highly efficient, saving a lot of time in my day-to-day operations, which ultimately saves money as well.
Product Engineer at a tech vendor with 11-50 employees
 

Customer Service

Sentiment score
5.4
Azure Database for PostgreSQL support experiences vary, praised for responsiveness but criticized for inconsistency and contentious licensing issues.
Sentiment score
5.4
Qdrant's community-driven approach provides ample online resources and documentation, minimizing direct customer support needs and enhancing satisfaction.
Once we open a support case, we have people engaged within about 20 minutes, especially for a Sev 1 issue.
Financial Advisor at a financial services firm with 10,001+ employees
On a scale from one to ten, I rate customer service and technical support a nine because they are quick in responding and in working with me to rectify any issues we come across.
Cloud Engineer at a financial services firm with 10,001+ employees
The documentation and training we've received through Microsoft Learn on how to migrate, deploy, and manage the solution is exceptional.
Head of cloud, data, and AI at BJSS
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
I rate the technical support of Qdrant as a nine because I think we have never reached out to them directly, but Qdrant has good support available online, and I can get answers from forums.
Co Founder & CEO at SaYukth Private Limited
 

Scalability Issues

Sentiment score
5.6
Azure Database for PostgreSQL scales efficiently, supporting complex applications with features like FlexServer and recent redundancy and auto-scaling improvements.
Sentiment score
5.5
Qdrant's scalability in Docker enables efficient expansion and performance with multiple CPUs, attracting migrations from alternative solutions.
We do not have to buy everything and build it. It is already there.
Systems Engineer II at ICW Group
However, we can see how well it scales after we deploy it for some large enterprise customers or big government organizations.
Head of cloud, data, and AI at BJSS
The scaling options with FlexServer provide us with the flexibility we need based on application complexity.
Director, Alliances & Engineering at a computer software company with 1,001-5,000 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 handles growing workloads and data volumes well for me, which was a significant reason for my shift from other popular alternatives to Qdrant.
Product Engineer at a tech vendor with 11-50 employees
 

Stability Issues

Sentiment score
7.2
Azure Database for PostgreSQL is praised for stability, reliable uptime, and Microsoft’s swift resolution of occasional performance issues.
Sentiment score
7.7
Qdrant is stable, reliable, easy to use, but inactive clouds terminate after a week, affecting continuous hosting.
It is the go-to database if seeking performance and capacity.
Director at a financial services firm with 10,001+ employees
I have not experienced any downtime, crashes, or performance issues; it has been very stable.
Cloud Engineer at a financial services firm with 10,001+ employees
There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality.
Principle azure architect at Intercept
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
Qdrant is stable, except for the limitation concerning the termination of inactive clouds after a week.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
 

Room For Improvement

Azure Database for PostgreSQL needs enhancements in scalability, reliability, monitoring, integrations, user management, and disaster recovery features.
Qdrant requires UI enhancements, improved backup management, and integrated automation to address operational complexities and improve features.
It does not presently support knowledge graph functionalities as Neo4j does.
Product manager at a financial services firm with 5,001-10,000 employees
Azure Database for PostgreSQL can be improved by allowing quicker scaling without blips.
Principle azure architect at Intercept
I believe there could be improvements in the mirroring part and Change Data Capture (CDC).
Director, Alliances & Engineering 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

Azure Database for PostgreSQL offers cost-effective scalability with pay-as-you-go pricing, despite higher costs than on-premises solutions.
Qdrant offers cost-effective enterprise pricing but scaling may require migrating to paid plans for advanced features and support.
We've reduced costs by 60 percent compared to maintaining on-premises solutions.
Director, Alliances & Engineering at a computer software company with 1,001-5,000 employees
We chose it because it is more cost-effective than Microsoft SQL.
Cloud Solutions Architect at Measurement Incorporated
Once you are comfortable and ready to make some commitments, you get about 30 percent saving if you are going with one-year or three-year reservation cost.
Staff Data Engineer at a transportation company with 10,001+ 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
Licensing posed no issues, as Qdrant is open-source software with no upfront fees.
Automation Engineer at a educational organization with 11-50 employees
 

Valuable Features

Azure Database for PostgreSQL offers simplicity, performance, security, scalability, and AI integration, enhancing cloud strategy through robust features.
Qdrant enhances search precision using hybrid vectors, offers cost-effective deployment, and supports efficient AI handling with flexible APIs.
My takeaway as a CTO is that they're comfortable with the security posture, the features, the observability, alerts, and now it integrates into the rest of the Azure landscape.
Head of cloud, data, and AI at BJSS
The query analyzers help me find out what's happening in each of the queries.
IT Director at Infosys
If a database has any task that has been interrupted or any connection issue, it will alert LogicMonitor, and we have a centralized panel for all the alerts.
System Engineer II at a insurance company with 501-1,000 employees
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
The best features of Qdrant are GPU support, which enables very fast processing, and a very light footprint as it uses fewer resources.
Co Founder & CEO at SaYukth Private Limited
 

Categories and Ranking

Azure Database for PostgreSQL
Ranking in Open Source Databases
4th
Average Rating
8.8
Reviews Sentiment
6.3
Number of Reviews
23
Ranking in other categories
Database as a Service (DBaaS) (5th)
Qdrant
Ranking in Open Source Databases
9th
Average Rating
9.0
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
Vector Databases (4th), AI Data Analysis (11th)
 

Mindshare comparison

As of July 2026, in the Open Source Databases category, the mindshare of Azure Database for PostgreSQL is 1.9%, up from 0.2% compared to the previous year. The mindshare of Qdrant is 4.5%, up from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Azure Database for PostgreSQL1.9%
Qdrant4.5%
Other93.6%
Open Source Databases
 

Featured Reviews

Sathish Palanisamy - PeerSpot reviewer
Staff Data Engineer at a transportation company with 10,001+ employees
Improves database performance, supports AI integration, and accelerates customer-focused innovation
Azure Database for PostgreSQL can be improved in the area of elastic capabilities. One of the things we were actively looking for is the elastic feature, which was made a GA at this Ignite event. I am really happy that finally in Azure, we have a product which we can use for elastic clusters. If you are bound with a single server, then you have a vertical limit. Now you do not have any limits. As long as your use case grows, we can grow. The only thing I would maybe be thinking about is we should also allow customers to pick different node sizes for every node inside the elastic eventually. Some nodes do not need that big capacity. So that may be a nice-to-have feature, though it is not a must-have at this point.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Building accurate no-code resume screeners has saved weeks in document search workflows
I see room for improvement in Qdrant based on what another platform called Weaviate offers. Qdrant provides an excellent vector database with a solid searching method. However, it could elevate its offering by integrating embedding features. Currently, for the workflow automation I build, I rely on other platforms for embedding, so incorporating this feature directly in Qdrant Cloud would eliminate the need to depend on external solutions. A pain point I have encountered was the inactive expiration of the cloud created for certain projects. If the cloud is not used for a week, it gets terminated, which is frustrating. I think increasing that inactivity window in the free tier would be beneficial, as I have faced limitations due to this seven-day inactivity rule, requiring me to reset up the cloud after its termination.
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business8
 

Questions from the Community

What is your experience regarding pricing and costs for Azure Database for PostgreSQL?
My experience with pricing, setup costs, and licensing for Azure Database for PostgreSQL is positive; I appreciate it all. The pricing is very cost-effective and stable given that we have many data...
What needs improvement with Azure Database for PostgreSQL?
Azure Database for PostgreSQL can be improved in ways I'm very curious to explore with Horizon. I'm interested in seeing how the fully enterprise-hardened features change things and where that blur...
What is your primary use case for Azure Database for PostgreSQL?
My main use cases for Azure Database for PostgreSQL came from a personal project to scratch an itch, and it was the easiest one to go grab. I appreciate how easy PostgreSQL is to get running locall...
What is your experience regarding pricing and costs for Qdrant?
Licensing posed no issues, as Qdrant is open-source software with no upfront fees. Initially, the setup cost was low since we utilized a self-hosted model on a small cloud VM. However, as we added ...
What needs improvement with Qdrant?
While Qdrant is an exceptionally fast and efficient search engine within vector bases, our engineering team faced operational challenges during its adoption. Architectural complexity was a key fric...
What is your primary use case for Qdrant?
I have been using Qdrant for almost one and a half years. This was actually one of the first vector databases that we picked up in our organization. We started using the RAG modules to create a per...
 

Overview

 

Sample Customers

Information Not Available
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 Azure Database for PostgreSQL vs. Qdrant and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.