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OpenSearch 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

OpenSearch
Ranking in Open Source Databases
15th
Ranking in Vector Databases
10th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Qdrant
Ranking in Open Source Databases
11th
Ranking in Vector Databases
4th
Average Rating
9.0
Reviews Sentiment
4.8
Number of Reviews
2
Ranking in other categories
AI Data Analysis (17th)
 

Mindshare comparison

As of March 2026, in the Open Source Databases category, the mindshare of OpenSearch is 4.7%, down from 5.1% compared to the previous year. The mindshare of Qdrant is 4.2%, up from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Qdrant4.2%
OpenSearch4.7%
Other91.1%
Open Source Databases
 

Featured Reviews

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reviewer2811174 - PeerSpot reviewer
AI Developer at a tech services company with 11-50 employees
Vector search has transformed support workflows and drives faster, more accurate responses
Qdrant can be improved in several ways. A dashboard or UI for re-indexing large collections without downtime and performance degradation would be valuable. The ecosystem around managed backups and cross-region replication could be more seamless for global deployments. Built-in analytics or observability tooling, such as a query performance dashboard and index health monitor, would reduce reliance on external tools. Tighter integration with popular orchestration frameworks like LangChain and LlamaIndex out of the box and more intuitive documentation would be very helpful. Developers need parameters for advanced fine-tuning, such as HNSW settings, and documentation could be clearer. For people without much experience in AI frameworks or vector databases, easier documentation would be helpful. At least the setup part could be simpler. These are some negatives I am observing.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
10%
Educational Organization
7%
Computer Software Company
12%
Financial Services Firm
11%
Comms Service Provider
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What is your experience regarding pricing and costs for Qdrant?
Using Qdrant is free. We house it and have a VM where we just installed it on the VM.
What needs improvement with Qdrant?
I should check if real-time data updates in Qdrant have helped improve my models, as I don't even know they have that feature. A lot of our work is agentic right now, and we have also segmented the...
What is your primary use case for Qdrant?
My primary use cases for Qdrant are legal and educational.
 

Comparisons

 

Overview

 

Sample Customers

1. Amazon 2. Netflix 3. Yelp 4. Adobe 5. IBM 6. Microsoft 7. Cisco 8. Oracle 9. Salesforce 10. eBay 11. Spotify 12. Airbnb 13. Twitter 14. LinkedIn 15. Pinterest 16. Slack 17. Dropbox 18. Expedia 19. Uber 20. Lyft 21. Square 22. Zillow 23. Reddit 24. Hulu 25. Twitch 26. Booking.com 27. Etsy 28. Groupon 29. StubHub 30. TripAdvisor 31. Wayfair 32. Zappos
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 Oracle, PostgreSQL, ClickHouse and others in Open Source Databases. Updated: February 2026.
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