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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
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
8th
Average Rating
8.8
Reviews Sentiment
5.4
Number of Reviews
9
Ranking in other categories
Vector Databases (4th), AI Data Analysis (10th)
 

Mindshare comparison

As of August 2026, in the Open Source Databases category, the mindshare of EDB Postgres Advanced Server is 2.2%, down from 2.6% compared to the previous year. The mindshare of Qdrant is 4.4%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Qdrant4.4%
EDB Postgres Advanced Server2.2%
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.
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

"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 rate EDB Postgres Advanced Server's stability an eight out of ten."
"The backup utility tools such as pg_restore and pg_dump are really convenient and efficient tools to handle backup and recovery."
"The number of indices available in Postgres is remarkable."
"The low cost and functionality allows us to save money on smaller database projects."
"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."
"I like that EDB Postgres Advanced Server scales well. A valuable feature of the solution is multi-tenancy support. It also supports JSONB."
"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 is one of the best vector databases out there that is also open source."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"Using Qdrant's hybrid search capability has improved my search results."
"Qdrant is a good and scalable vector database, and it is free."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
"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

"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."
"It suffers issues ranging from data corruption to failing to delete temporary files which then necessitate us having to perform server restarts."
"Postgres performance is suffering and the product model is not doing enough to keep current."
"I would like to see improvements in the performance, especially in large-scale operations, as it currently cannot match Oracle's performance."
"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."
"The system is aging and not keeping up with the performance of new, enhanced database models."
"The lack of additional security features is really the thing that makes the product less useful."
"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."
"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."
"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."
"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."
"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."
"There can always be improvements needed for Qdrant, but I do not want to add anything at this time."
"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."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
10%
Manufacturing Company
9%
Construction Company
7%
Comms Service Provider
12%
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
9%
 

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 Enterprise1
 

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?
My experience with pricing, setup cost, and licensing for Qdrant is that it is quite straightforward.
What needs improvement with Qdrant?
I would want Qdrant to support image vectorization, as I personally have that need within our organization, and since we have been using Qdrant for a while, it seems like a relevant feature to add....
What is your primary use case for Qdrant?
My main use case for Qdrant is as a vector database. As a vector database, I use Qdrant in a sequence and pipeline automation software that needs to look up information about certain items, each of...
 

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: August 2026.
909,725 professionals have used our research since 2012.