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EDB Postgres Advanced Server 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:
 

Categories and Ranking

EDB Postgres Advanced Server
Ranking in Open Source Databases
13th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
10
Ranking in other categories
No ranking in other categories
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 EDB Postgres Advanced Server is 2.2%, down from 2.7% 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 (%)
Qdrant4.5%
EDB Postgres Advanced Server2.2%
Other93.3%
Open Source Databases
 

Featured Reviews

reviewer2599590 - PeerSpot reviewer
Student at a university with 10,001+ employees
Explore innovative database indexing and distributed architecture capabilities
The number of indices available in Postgres is remarkable. Additionally, the way it forks each process into a child node, instead of executing in the same node, is quite different from most databases. These features can be especially useful in certain scenarios compared to MySQL or other SQL-based databases. Also, the ability to distribute the database across different machines is a significant advantage.
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.

Quotes from Members

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

Pros

"I like that EDB Postgres Advanced Server scales well. A valuable feature of the solution is multi-tenancy support. It also supports JSONB."
"The backup utility tools such as pg_restore and pg_dump are really convenient and efficient tools to handle backup and recovery."
"This product has allowed us to reduce costs in some parts of our infrastructure without losing functionality."
"The feature of vector database management for AI is quite interesting and impactful."
"The product is user-friendly."
"I rate EDB Postgres Advanced Server's stability an eight out of ten."
"Postgres is highly compatible with many software and programming languages. Its compatibility is excellent, covering nearly everything related to data engineering or migration."
"I would highly recommend EDB Postgres Advanced Server to others."
"We saw a clear return on investment from Qdrant, particularly in the engineering time saved and the empowerment of team members to handle self-service tasks instead of reducing headcount."
"Qdrant is an excellent vector database that anyone would want to use with RAG AI."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
"Using Qdrant's hybrid search capability has improved my search results."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"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."
 

Cons

"An area for improvement in EDB Postgres Advanced Server is JSONB querying. It would be nice to have even stronger JSONB support from the solution."
"I have faced performance issues in the community edition."
"The lack of additional security features is really the thing that makes the product less useful."
"The product currently fails to offer a mobile application."
"It suffers issues ranging from data corruption to failing to delete temporary files which then necessitate us having to perform server restarts."
"The system is aging and not keeping up with the performance of new, enhanced database models."
"The security is not very robust and the product would be much more useful with more security options."
"Lighter integration model for containerized deployment. Effectively, there still remain some issues with a containerized deployment, so we have opted for a non-containerized deployment."
"Architectural complexity was a key friction point, as our primary database was set in Supabase, necessitating synchronization of two separate systems for user data, permissions, and states."
"A lot of our work is agentic right now, and we have also segmented the content to be logical, so there's not a lot of vector search anymore."
"The file system lock in Qdrant prevents the API and scripts from hitting it directly, and to surpass this limitation, I have to run Qdrant client as a service, which incurs additional costs for running it continuously, so if something about that could be done, it would be really amazing."
"One of the key limitations is that Qdrant does not have built-in role-based access control, and while being self-hosted is a benefit, it can also be improved."
"The area for improvement in Qdrant is its clustering capability. 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."
"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."
 

Pricing and Cost Advice

"Pricing is significantly lower than competing products."
"It is an open-source product."
"The product is either free with community support or very inexpensive with a small yearly fee for paid support."
"I have been working on the community edition."
"EDB Postgres Advanced Server is open source, so I don't pay for licensing."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
10%
Manufacturing Company
9%
Healthcare Company
7%
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 Business2
Midsize Enterprise2
Large Enterprise8
By reviewers
Company SizeCount
Small Business8
 

Questions from the Community

What is your experience regarding pricing and costs for EDB Postgres Advanced Server?
EDB Postgres Advanced Server offers both processor-based and user-based licensing options. The cost is reasonable, particularly for middle and lower-tier customers, but there are hiccups when deali...
What needs improvement with EDB Postgres Advanced Server?
It was challenging to think of improvements for Postgres. We did not choose to extend or add new features to Postgres since it already meets our needs so well. There aren't specific new features we...
What is your primary use case for EDB Postgres Advanced Server?
Our primary use case for EDB Postgres Advanced Server was to study the code base behind it. We aimed to understand how it has been built, how the engine functions, the querying process, and what ki...
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

Ericsson, Clear Capital, PinkRoccade, ABN Amro, WholeWorldBand, Van Genechten, Gallinat-Bank AG, Mariner, coresystems, Aquent, Contegix, AQA, Genscape, InMobi
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 EDB Postgres Advanced Server vs. Qdrant and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.