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EDB Postgres Advanced Server 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:
 

Categories and Ranking

EDB Postgres Advanced Server
Ranking in Open Source Databases
13th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
12
Ranking in other categories
No ranking in other categories
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 EDB Postgres Advanced Server is 2.3%, down from 2.5% 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 (%)
Qdrant4.3%
EDB Postgres Advanced Server2.3%
Other93.4%
Open Source Databases
 

Featured Reviews

SB
Database Engineer at a tech vendor with 1-10 employees
Centralized management has reduced database overhead but pricing and documentation have needed work
What I appreciate about EDB Postgres Advanced Server is that it offers management tools such as PEM and CNPG under one umbrella, providing enterprise features that eliminate the need for multiple engineers to maintain PostgreSQL databases, although it is somewhat expensive. I evaluate the technical support and customer service of EDB Postgres Advanced Server as really good, as I have sought their help three to four times regarding issues with PEM configuration, and they respond quickly and solve issues promptly. I would rate the technical support of EDB Postgres Advanced Server an 8 out of 10. EDB Postgres Advanced Server's high availability and disaster recovery features, specifically the introduction of CNPG based on Kubernetes, are good, but they require significant infrastructure overhead, which I believe necessitates a lightweight integration model for better performance. I rate the efficiency improvements from EDB Postgres Advanced Server a 10 out of 10 when it comes to Oracle compatibility. Its native support for Oracle's PL/SQL syntax makes evaluating and migrating legacy workloads incredibly smooth, bypassing the typical headaches of manual code rewrites.
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.

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."
"It gives us a solid, less expensive alternative to deploying with Oracle."
"The low cost and functionality allows us to save money on smaller database projects."
"What I appreciate about EDB Postgres Advanced Server is that it offers management tools such as PEM and CNPG under one umbrella, providing enterprise features that eliminate the need for multiple engineers to maintain PostgreSQL databases, although it is somewhat expensive."
"The product is user-friendly."
"Cost/benefit wise Postgres is a great solution."
"The number of indices available in Postgres is remarkable."
"The feature of vector database management for AI is quite interesting and impactful."
"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 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."
"Qdrant has positively impacted my organization mainly by reducing usage costs for AI because in the older system, in order to get the context, we were just dumping everything into the system, which would inflate the cost of the API, whatever AI we were using, such as OpenAI or Claude."
"Qdrant is one of the best vector databases out there that is also open source."
"Qdrant has positively impacted my organization by significantly improving our RAG system's latency, cost-efficiency, and accuracy."
"Qdrant is an excellent vector database that anyone would want to use with RAG AI."
"Using Qdrant's hybrid search capability has improved my search results."
 

Cons

"The system is aging and not keeping up with the performance of new, enhanced database models."
"From a pricing perspective, I do not find it cost-effective from DBtune's SaaS perspective as we are just testing it, but for enterprises, it is worth it as you do not require many engineers for management and receive good support."
"There aren't specific new features we wish to add."
"The security is not very robust and the product would be much more useful with more security options."
"Postgres performance is suffering and the product model is not doing enough to keep current."
"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."
"I have faced performance issues in the community edition."
"It suffers issues ranging from data corruption to failing to delete temporary files which then necessitate us having to perform server restarts."
"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."
"Qdrant is available through a containerized Docker, but a normal deployment in Qdrant is not there, and that can actually be worked out."
"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."
"There can always be improvements needed for Qdrant, but I do not want to add anything at this time."
"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 main limitations I notice come down to developer experience and native features rather than performance."
"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."
 

Pricing and Cost Advice

"It is an open-source product."
"Pricing is significantly lower than competing products."
"EDB Postgres Advanced Server is open source, so I don't pay for licensing."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Comms Service Provider
9%
Healthcare Company
8%
Manufacturing Company
8%
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 Business3
Midsize Enterprise2
Large Enterprise9
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for EDB Postgres Advanced Server?
My experience with pricing, setup costs, and licensing for EDB Postgres Advanced Server is that it is very cost-efficient, easy to set up, and can be deployed in a containerized manner.
What needs improvement with EDB Postgres Advanced Server?
For improvement purposes, I think EDB Postgres Advanced Server needs some enhanced monitoring since the current default monitoring is not sufficient; an EDB monitoring tool could provide useful met...
What is your primary use case for EDB Postgres Advanced Server?
My main use case for EDB Postgres Advanced Server is that we have a telecommunication billing product where I am using it as a backend database to handle all the requests. A specific example of how...
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...
 

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: September 2026.
919,894 professionals have used our research since 2012.