No more typing reviews! Try our Samantha, our new voice AI agent.

Qdrant vs Query.ai 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

Qdrant
Ranking in AI Data Analysis
18th
Average Rating
9.4
Reviews Sentiment
5.3
Number of Reviews
3
Ranking in other categories
Open Source Databases (11th), Vector Databases (5th)
Query.ai
Ranking in AI Data Analysis
23rd
Average Rating
8.0
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Security Analytics (6th), AI Security (119th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of Qdrant is 0.5%, down from 4.5% compared to the previous year. The mindshare of Query.ai is 0.5%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Qdrant0.5%
Query.ai0.5%
Other99.0%
AI Data Analysis
 

Featured Reviews

CC
Lead Ai Tech And Tech Automation Engineer at CleanFoldz Laundry
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.
reviewer2834415 - PeerSpot reviewer
DevSecOps engineer at a financial services firm with 10,001+ employees
Query automation has reduced investigation time and frees our team to focus on complex DevOps tasks
The best features Query.ai offers make anything with queries much easier, and it ensures that it is very optimistically correct with whatever it is doing. It also delivers access throughout real-time and historical data, making it really quick and fast to act upon. The real-time and historical data access from Query.ai helps me in my work by allowing me to go through queries quicker, so even if there are errors anywhere, detection happens pretty fast. Because it is on automation and the investigation is done really quickly, it saves a lot of my time. Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work. The reduction in workload due to Query.ai has made things easier, especially every time we need to investigate why an SQL query is not loading or if it is duplicating. It is especially effective during access management to either provision or de-provision access for users.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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 has positively impacted my organization by consuming much less time than building systems through coding."
"Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work."
"Query.ai helps reduce costs and improve security in my organization, though I do not have the actual numbers, but the impact was significant."
"Time saving and accuracy are the main benefits; in my data mart and data lakes project, Query.ai has been very useful, with all transformations automated, which had a huge impact on our entire project."
 

Cons

"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."
"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."
"Query.ai performs well, but there are other software options that do auditing a little better."
"Probably Query.ai could be a little more optimized, but it is good."
"I felt the pricing is somewhat higher."
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Comms Service Provider
11%
Computer Software Company
10%
Manufacturing Company
8%
No data available
 

Company Size

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

Questions from the Community

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?
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...
What is your primary use case for Qdrant?
Our use case for Qdrant is AI data analysis.
What is your experience regarding pricing and costs for Query.ai?
My experience with pricing, setup cost, and licensing was good. I felt the pricing is somewhat higher.
What needs improvement with Query.ai?
I think integrating some LLM would be good because nowadays AI has a very huge impact. Additionally, I think it would be good if you add Amazon QuickSight for the reporting functionality.
What is your primary use case for Query.ai?
My main use case for Query.ai is connecting to data lakes and data marts using Amazon S3. I have been connecting my data to Query.ai data lakes and data marts while doing some transformation, creat...
 

Comparisons

No data available
 

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. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
Information Not Available
Find out what your peers are saying about Qdrant vs. Query.ai and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.