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MySQL 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
6.1
MySQL offers cost efficiency and productivity benefits, but cloud hosting costs affect its overall return on investment.
Sentiment score
5.5
Qdrant boosts ROI by cutting costs, improving productivity, and enhancing efficiency through payload filtering and open-source flexibility.
I have seen a return on investment with MySQL, as it allows us to manage with fewer employees, focusing on business logic rather than database management.
Software Developer at Apptom
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
6.8
Users often prefer community resources over Oracle support for MySQL due to cost and mixed support experiences.
Sentiment score
4.8
Qdrant customer service excels with developer-focused support via Discord and documentation, with reduced need for direct contact.
I would rate the documentation and online support a 10 out of 10.
Student at a university with 10,001+ employees
We have no issues and usually receive timely responses.
Assistant Vice President at National Bank of Pakistan
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
6.7
MySQL is scalable for small to medium applications, excelling in vertical scaling and read-heavy workloads with replication and clustering.
Sentiment score
5.7
Qdrant excels in scalability and performance, efficiently managing large datasets, particularly when deployed in Docker for enhanced growth.
Meeting scalability requirements through cloud computing is an expensive affair.
Technical Architect at a tech vendor with 10,001+ employees
MySQL's scalability is currently adequate, as we have increased operations from ten thousand to twelve thousand devices, and it is working fine for us.
Software Developer at Apptom
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
7.8
MySQL is stable for small to medium databases, but regular maintenance and optimization are vital for performance.
Sentiment score
7.9
Qdrant, built in Rust, is praised for reliability, fast queries, and precision, despite minor cloud termination limitations.
We face certain integration issues, especially when we integrate the database with security solutions like IBM QRadar.
Assistant Vice President at National Bank of Pakistan
From my experience, MySQL was pretty stable.
Student at a university with 10,001+ employees
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

MySQL needs better scalability, analytics support, user experience, cloud integration, and performance tools for improved large-scale deployment.
Qdrant needs developer experience enhancements, including multi-query fusion, embedding support, schema management, and improved deployment, UI, and documentation.
It could be more beneficial if MySQL can enhance its data masking functionality in the same way it has improved data encryption.
Assistant Vice President at National Bank of Pakistan
Oracle could improve on scalability.
Technical Architect at a tech vendor with 10,001+ employees
The load balancer, MySQL LB, which is used to connect to the application, lacks clear documentation.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
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

MySQL offers flexible pricing with a free Community Edition, while advanced features in the Enterprise Edition incur additional costs.
Qdrant provides cost-effective, predictable billing and zero upfront investment, with open-source access and easy setup options.
Oracle has different components, so if you need security, you have to procure a different license, but here everything is inbuilt and it's not costly.
SR AVP–Presales Cloud & Platform Management Services at Path Infotech ltd
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

MySQL is favored for reliability, performance, scalability, and cost-effectiveness, with strong community support and seamless platform integration.
Qdrant provides fast, efficient vector search with hybrid indexing, Python support, and open-source configuration for scalable AI projects.
With Oracle, we have to buy another solution for encryption and masking, but MySQL supports native encryption, which enhances our return on investment.
Assistant Vice President at National Bank of Pakistan
The main feature we utilize in MySQL is the view, and I can say that it is the most valuable feature for our needs.
Software Developer at Apptom
MySQL contributes to improved system reliability, faster application performance, and higher developer productivity.
Senior Engineer at Airy Software Technologies Private Limited
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

MySQL
Ranking in Open Source Databases
2nd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
152
Ranking in other categories
Relational Databases Tools (4th)
Qdrant
Ranking in Open Source Databases
5th
Average Rating
8.8
Reviews Sentiment
5.8
Number of Reviews
10
Ranking in other categories
Vector Databases (2nd), AI Data Analysis (6th)
 

Mindshare comparison

As of September 2026, in the Open Source Databases category, the mindshare of MySQL is 12.5%, up from 9.3% compared to the previous year. The mindshare of Qdrant is 4.3%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
MySQL12.5%
Qdrant4.3%
Other83.2%
Open Source Databases
 

Featured Reviews

Amandeep Pawar - PeerSpot reviewer
Senior Engineer at Airy Software Technologies Private Limited
Careful data design has delivered consistent transactions and supports reliable microservices
MySQL is a reliable and mature relational database, but there are a few areas where it could be improved. One area is horizontal scalability. While MySQL supports scaling for applications, handling write-heavy workloads often requires additional solutions such as sharding, which adds complexity. Another area where it could improve is in native support for advanced analytics and large-scale distributed processing, which may require specialized databases. Changing the database schema on large tables can also be challenging and may require careful planning to minimize downtime. Performance tuning is powerful, but identifying and optimizing slow queries often requires manual analysis and experience. Having more built-in performance insights and automated optimization recommendations would be helpful for administrators. In terms of documentation and security, I think MySQL could be improved in those areas. While the official documentation is comprehensive, it can sometimes be difficult for beginners to navigate, especially for advanced topics such as application partitioning and query optimization. More practical examples and architecture-focused guides would be beneficial. On the integration side, MySQL already works well with frameworks such as Spring Boot and Hibernate, but enhancing support for modern cloud-native deployments, Kubernetes, and automated observability would simplify operations. MySQL is a mature and dependable database, and I hope to see improvements primarily around administration, better operational tooling, and a smoother developer experience rather than fundamental database capabilities.
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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913,806 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Outsourcing Company
11%
Manufacturing Company
8%
Financial Services Firm
8%
Construction Company
8%
Comms Service Provider
13%
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business75
Midsize Enterprise34
Large Enterprise64
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise2
 

Questions from the Community

Why are MySQL connections encrypted and what is the biggest benefit of this?
MySQL encrypts connections to protect your data and the biggest benefit from this is that nobody can corrupt it. If you move information over a network without encryption, you are endangering it, m...
Considering that there is a free version of MySQL, would you invest in one of the paid editions?
I may be considered a MySQL veteran since I have been using it since before Oracle bought it and created paid versions. So back in my day, it was all free, it was open-source and the best among sim...
What is one thing you would improve with MySQL?
One thing I would improve related to MySQL is not within the product itself, but with the guides to it. Before, when it was free, everyone was on their own, seeking tutorials and how-to videos onli...
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...
 

Comparisons

 

Overview

 

Sample Customers

Facebook, Tumblr, Scholastic, MTV Networks, Wikipedia, Verizon Wireless, Sage Group, Glassfish Open Message Queue, and RightNow Technologies.
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 MySQL vs. Qdrant and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.