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Marqo Agentic Search & Product Discovery vs Qdrant comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 13, 2026

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

Marqo Agentic Search & Prod...
Ranking in Vector Databases
21st
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Search as a Service (17th)
Qdrant
Ranking in Vector Databases
3rd
Average Rating
9.0
Reviews Sentiment
5.5
Number of Reviews
5
Ranking in other categories
Open Source Databases (9th), AI Data Analysis (12th)
 

Mindshare comparison

As of June 2026, in the Vector Databases category, the mindshare of Marqo Agentic Search & Product Discovery is 1.3%, up from 0.5% compared to the previous year. The mindshare of Qdrant is 6.7%, down from 8.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Qdrant6.7%
Marqo Agentic Search & Product Discovery1.3%
Other92.0%
Vector Databases
 

Featured Reviews

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Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 1-10 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.
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Top Industries

By visitors reading reviews
No data available
Comms Service Provider
11%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
 

Questions from the Community

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What is your experience regarding pricing and costs for Qdrant?
Regarding pricing, setup costs, and licensing, since I am using only the free tier of Qdrant Cloud, there are no setup costs involved. Moving forward, as the company grows, I will consider options ...
What needs improvement with Qdrant?
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...
What is your primary use case for Qdrant?
My main use case was utilizing Qdrant as a vector database to store documents in vector format, which made searching easier whenever a query was passed. I implemented it in a chatbot, specifically ...
 

Overview

 

Sample Customers

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.Nike 20.Oracle 21.PG 22. PepsiCo 23.Procter and Gamble 24.Samsung 25. Shell  26.Sony 27. Toyota 28.Visa 29.Walmart 30.WeWork
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 Microsoft, Redis, Qdrant and others in Vector Databases. Updated: May 2026.
896,942 professionals have used our research since 2012.