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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
12th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
11
Ranking in other categories
No ranking in other categories
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 EDB Postgres Advanced Server is 2.3%, down from 2.6% 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 (%)
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 would highly recommend EDB Postgres Advanced Server to others."
"I like that EDB Postgres Advanced Server scales well. A valuable feature of the solution is multi-tenancy support. It also supports JSONB."
"The feature of vector database management for AI is quite interesting and impactful."
"Cost/benefit wise Postgres is a great solution."
"Major reduction in run cost, and a quantum leap in the flexibility of deployment models Elimination of replication of transaction from reporting systems Able to do rolling upgrades with zero production downtime."
"The low cost and functionality allows us to save money on smaller database projects."
"It gives us a solid, less expensive alternative to deploying with Oracle."
"The product is user-friendly."
"Qdrant has positively impacted my organization by significantly improving our RAG system's latency, cost-efficiency, and accuracy."
"Qdrant is a good and scalable vector database, and it is free."
"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."
"Qdrant is one of the best vector databases out there that is also open source."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
"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

"I would like to see improvements in the performance, especially in large-scale operations, as it currently cannot match Oracle's performance."
"I have faced performance issues in the community edition."
"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."
"It suffers issues ranging from data corruption to failing to delete temporary files which then necessitate us having to perform server restarts."
"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."
"There aren't specific new features we wish to add."
"The system is aging and not keeping up with the performance of new, enhanced database models."
"There can always be improvements needed for Qdrant, but I do not want to add anything at this time."
"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."
"Qdrant is available through a containerized Docker, but a normal deployment in Qdrant is not there, and that can actually be worked out."
"Qdrant is pretty good overall, but it can be improved. For example, the UI could be better, and it has pretty much very generic features that every other vector database provides."
"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."
"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."
"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."
 

Pricing and Cost Advice

"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."
"Pricing is significantly lower than competing products."
"It is an open-source product."
"I have been working on the community edition."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
9%
Manufacturing Company
9%
Retailer
7%
Comms Service Provider
12%
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 Business3
Midsize Enterprise2
Large Enterprise8
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for EDB Postgres Advanced Server?
We obtained EPAS through our partnership with EDB using an enterprise deployment model on-premises. From a pure testing perspective for a startup like DBtune, the licensing can feel quite expensive...
What needs improvement with EDB Postgres Advanced Server?
Beyond the aspects that I mentioned about the enterprise manager PEM and UI complexities, I would like to see improvements in the pricing structure to accommodate startups and clearer centralized d...
What is your primary use case for EDB Postgres Advanced Server?
The main use case for EDB Postgres Advanced Server (EPAS) is within my work at DBtune, an AI-driven SaaS product for database optimization. I am responsible for developing and testing our platform'...
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

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.
913,076 professionals have used our research since 2012.