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Azure Database for PostgreSQL vs Qdrant comparison

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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 optimizes costs with license savings, efficient resource use, and improved efficiency over on-premises databases.
Sentiment score
5.1
Qdrant offers financial benefits by reducing costs, improving efficiency, and boosting productivity through enhanced response times and HNSW searching.
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
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
5.7
Azure Database for PostgreSQL support is inconsistent, quick for critical issues, praised for documentation, varies by team or plan.
Sentiment score
4.4
Qdrant's customer service is lauded for its excellent support, active community, and comprehensive documentation, reducing direct support needs.
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
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
6.0
Azure Database for PostgreSQL offers scalable workloads, flexibility, and effective traffic management, accommodating various needs without major modifications.
Sentiment score
5.2
Qdrant excels in scalability, handling large data sets with efficient sharding, supporting rapid expansion and improved performance in Docker.
We do not have to buy everything and build it. It is already there.
Systems Engineer II at ICW Group
Scalability is not an issue on cloud.
DevOps Engineer at Donyati
Maintaining consistent performance while reducing operational complexity.
Test Engineer at Happiest Minds Technologies
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
7.4
Azure Database for PostgreSQL offers high availability, stable performance, and reliable uptime, though peak usage may affect latency.
Sentiment score
7.8
Qdrant is reliable and accurate with high recall, precise vector matching, but requires regular updates and suffers inactive cloud termination.
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
Once everything is in the same networking environment, the latency becomes much smaller compared to when I have everything spread across different availability zones and regions, which results in higher latency.
Aws Solutions Architect at ProjectCareer
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

Azure Database for PostgreSQL needs performance, scalability, user management improvements, better support, cost optimization, and enhanced third-party integration.
Qdrant users seek improved clustering, schema updates, multi-query fusion, intuitive UI, integration, and enhancements in native tools and 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
Some cloud platforms I've used have journeys that guide you through processes, but with Azure Database for PostgreSQL, I have to know exactly what I want to do and navigate there myself.
Aws Solutions Architect at ProjectCareer
Enhanced monitoring dashboards for faster root cause analysis.
Test Engineer at Happiest Minds Technologies
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 flexible pay-as-you-go pricing, aligning costs with usage and reducing initial hardware investments.
Qdrant offers cost-effective, scalable solutions through open-source access and predictable pricing, suitable for enterprise scaling needs.
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
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

Azure Database for PostgreSQL offers automation, security, scalability, integration, and cost-effective, scalable solutions for modern applications.
Qdrant provides efficient, cost-effective search and deployment with advanced features, enhanced performance, and seamless cloud integration for AI projects.
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
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

Azure Database for PostgreSQL
Ranking in Open Source Databases
4th
Average Rating
8.8
Reviews Sentiment
6.4
Number of Reviews
30
Ranking in other categories
Database as a Service (DBaaS) (4th)
Qdrant
Ranking in Open Source Databases
5th
Average Rating
9.0
Reviews Sentiment
5.4
Number of Reviews
11
Ranking in other categories
Vector Databases (2nd), AI Data Analysis (6th)
 

Mindshare comparison

As of October 2026, in the Open Source Databases category, the mindshare of Azure Database for PostgreSQL is 1.9%, up from 0.4% compared to the previous year. The mindshare of Qdrant is 4.3%, up from 4.1% 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%
Qdrant4.3%
Other93.8%
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.
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
15%
Comms Service Provider
13%
Manufacturing Company
10%
Marketing Services Firm
8%
Comms Service Provider
13%
Manufacturing Company
12%
Financial Services Firm
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise19
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for Azure Database for PostgreSQL?
The pay-as-you-go pricing model of Azure Database for PostgreSQL has not negatively impacted my database-related costs and resource allocation; it is good and there is no issue with that.
What needs improvement with Azure Database for PostgreSQL?
I have not been involved in development, so I cannot share much on improvements or enhancements I would like to see at the moment. I am comfortable with the graphical user interface of Azure Databa...
What is your primary use case for Azure Database for PostgreSQL?
As a Cloud Service Provider, I manage a significant portion of Azure Database for PostgreSQL deployments on behalf of my clients. I handle provisioning and configuring monitoring for these instance...
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?
Qdrant is available through a containerized Docker, but a normal deployment in Qdrant is not there, and that can actually be worked out. That was one aspect I thought about, because I need to have ...
What is your primary use case for Qdrant?
We have a full-fledged RAG system using Qdrant Vector Database, and that is how it has benefited us. For example, we have implemented a techno-commercial evaluator using that, and it is in producti...
 

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: September 2026.
916,771 professionals have used our research since 2012.