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

CrateDB 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

CrateDB
Ranking in Open Source Databases
20th
Average Rating
7.6
Reviews Sentiment
5.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Qdrant
Ranking in Open Source Databases
9th
Average Rating
9.0
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
Vector Databases (4th), AI Data Analysis (11th)
 

Mindshare comparison

As of July 2026, in the Open Source Databases category, the mindshare of CrateDB is 1.0%, up from 0.5% compared to the previous year. The mindshare of Qdrant is 4.5%, up from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Qdrant4.5%
CrateDB1.0%
Other94.5%
Open Source Databases
 

Featured Reviews

FC
product owner at a manufacturing company with 10,001+ employees
Data platform has delivered real-time casino gameplay insights but still needs broader expertise
The best features CrateDB offers in my experience include many functionalities that allow you to purge data, maintain data, keep the database clean and essentially updated. CrateDB also allows us to store many records, and I think the performance is very strong compared to other databases or technologies. CrateDB's performance stood out for me as it allowed me to query results in less than seconds, which was optimal and enabled real-time analytics. I found it to be a very distributed SQL engine, which was beneficial considering our specific requirements. It supports multi-model and flexible schemas for structured and semi-structured data, JSON, time series for loads, and BLOBs, along with integrated performance improvements and faster ingestion than what I recall from other databases, plus better query optimizations. CrateDB has positively impacted my organization by allowing us to store several years of gameplay from our Asian customers, which involves millions and millions of records generated every day. Positively, we did not experience significant downtimes or outages, meaning the gameplay was not affected at all during these two years.
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

"CrateDB fit into my project very well as it was an excellent database that allowed me to query analyses I did not think I would be able to perform."
"CrateDB positively impacted my organization by reducing the time needed for processes, and its impressive scalability made it easy to start with one server and then horizontally scale to multiple nodes to retrieve data, which helped my company gain more customers."
"CrateDB has positively impacted my organization by allowing us to store several years of gameplay from our Asian customers, which involves millions and millions of records generated every day, and we did not experience significant downtimes or outages, meaning the gameplay was not affected at all during these two years."
"Qdrant is an excellent vector database that anyone would want to use with RAG AI."
"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."
"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 has positively impacted my organization by consuming much less time than building systems through coding."
"Using Qdrant's hybrid search capability has improved my search results."
"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."
 

Cons

"One area for improvement in CrateDB could be the command line interface, as sometimes it was not very easy to understand."
"CrateDB can be improved as it is not very popular, which means there are not many people dedicated or experienced with this particular technology, making it less usable or suitable for many companies."
"CrateDB was good regarding scalability, though not excellent."
"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."
"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."
"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."
"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 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."
report
Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.
902,988 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
University
21%
Computer Software Company
16%
Comms Service Provider
9%
Manufacturing Company
9%
Comms Service Provider
11%
Financial Services Firm
10%
Manufacturing Company
10%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
 

Questions from the Community

What is your experience regarding pricing and costs for CrateDB?
CrateDB was free when I used it, so there was no pricing associated with it, as we used the free version.
What needs improvement with CrateDB?
I wanted to use CrateDB for visualization as well, but it did not provide what I needed, so we had to opt for Grafana for the visualization instead. Regarding needed improvements, I was quite able ...
What is your primary use case for CrateDB?
I used CrateDB for a one-off project from April to August in 2025. My main use case was a digital twin project designed to create a FIWARE-based application with a focus on optimizing the data mana...
What is your experience regarding pricing and costs for Qdrant?
Licensing posed no issues, as Qdrant is open-source software with no upfront fees. Initially, the setup cost was low since we utilized a self-hosted model on a small cloud VM. However, as we added ...
What needs improvement with Qdrant?
While Qdrant is an exceptionally fast and efficient search engine within vector bases, our engineering team faced operational challenges during its adoption. Architectural complexity was a key fric...
What is your primary use case for Qdrant?
I have been using Qdrant for almost one and a half years. This was actually one of the first vector databases that we picked up in our organization. We started using the RAG modules to create a per...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
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 CrateDB vs. Qdrant and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.