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

Amplitude 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:
 

ROI

Sentiment score
4.3
Amplitude enhances targeting and personalization, saving time and effort, but higher pricing requires careful consideration for ROI.
Sentiment score
5.2
Qdrant's integration streamlined support ticket resolution, enhancing efficiency and cost-effectiveness through improved retrieval and self-service capabilities.
I have seen a return on investment with Amplitude, saving about 120 man hours per month for a specific report that needs to be created.
Technical Co-Founder at Crankshaft.ai
It has saved us a lot of time since I can see the analysis as quickly as possible in the dashboard, resulting in significant time and money saved.
Senior data engineer at a financial services firm with 10,001+ employees
Thanks to Qdrant's open-source nature, our initial licensing and setup costs were nearly zero, allowing for swift testing and launch of our RAG prototype.
Automation Engineer at a educational organization with 11-50 employees
The time saved is substantial, with nearly three weeks or more for projects deployed with Qdrant Cloud in no-code platforms.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
I have seen a significant return on investment from using Qdrant because it is very easy to integrate and highly efficient, saving a lot of time in my day-to-day operations, which ultimately saves money as well.
Product Engineer at a tech vendor with 11-50 employees
 

Customer Service

Sentiment score
5.7
Amplitude's customer service is timely with multiple channels, though technical expertise varies, complemented by an active Slack group.
Sentiment score
5.4
Qdrant's community-driven approach provides ample online resources and documentation, minimizing direct customer support needs and enhancing satisfaction.
You can pursue answers whichever way you would prefer through the normal support routes or you can source it from the community that they offer on Slack.
Data Analyst & Data Protection Officer at WeSalute
There could be live chat support for different types of charges or solutions that would be more helpful.
Data Science Engineer at BebopBee, Inc.
Amplitude customer support is responsive.
Technical Co-Founder at Crankshaft.ai
It's open source, so we house it on our server.
Chief Ai Scientist at Predictive Systems
The documentation provided by Qdrant covers most queries effectively.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
I rate the technical support of Qdrant as a nine because I think we have never reached out to them directly, but Qdrant has good support available online, and I can get answers from forums.
Co Founder & CEO at SaYukth Private Limited
 

Scalability Issues

Sentiment score
7.2
Amplitude is highly praised for its scalability, handling large data and real-time processing efficiently for millions of users.
Sentiment score
5.5
Qdrant's scalability in Docker enables efficient expansion and performance with multiple CPUs, attracting migrations from alternative solutions.
Amplitude's scalability is fine; I have millions of active users, tens of millions, with high throughput, and it performs great.
Technical Co-Founder at Crankshaft.ai
Amplitude is very scalable, considering that we do not have to do any manual work ourselves.
Data Analyst & Data Protection Officer at WeSalute
Amplitude is quite scalable.
Senior data engineer at a financial services firm with 10,001+ employees
In the recruiting agency project, the reliance on the vector database has expanded from storing hundreds of resumes to thousands.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
When Qdrant is deployed in Docker, it scales really fast, and you can assign multiple CPUs to enhance performance.
Analyst at Synergy Connect
Qdrant handles growing workloads and data volumes well for me, which was a significant reason for my shift from other popular alternatives to Qdrant.
Product Engineer at a tech vendor with 11-50 employees
 

Stability Issues

Sentiment score
8.4
Amplitude is praised for stability and speed with large datasets, though improvements in latency and error messages are suggested.
Sentiment score
7.7
Qdrant is stable, reliable, easy to use, but inactive clouds terminate after a week, affecting continuous hosting.
I did not notice any delays or issues with Amplitude's performance and speed when handling large datasets.
Senior Business Analyst at Arcteryx
You need to patch Qdrant as soon as patches are released.
Co Founder & CEO at SaYukth Private Limited
It is easy to use whether on LangChain or on its own.
Product Engineer at a tech vendor with 11-50 employees
Qdrant is stable, except for the limitation concerning the termination of inactive clouds after a week.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
 

Room For Improvement

Users desire improved report setup, visualization, query building, tagging, data retention, support, and feature discovery for enhanced analytics.
Qdrant requires UI enhancements, improved backup management, and integrated automation to address operational complexities and improve features.
Support could be improved. Sometimes I need to create a ticket and communicate with one of their advisors via email.
Data Science Engineer at BebopBee, Inc.
Longer form time series analysis seems nearly impossible to do on this platform.
Data Analyst & Data Protection Officer at WeSalute
Reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful.
Senior Business Analyst at Arcteryx
Fast large-scale filtering operations could be implemented, such as automatic index suggestions, adaptive query planning, and smart indexing of metadata fields, which would make Qdrant even more efficient.
Product Engineer at a tech vendor with 11-50 employees
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.
Co Founder & CEO at SaYukth Private Limited
Incorporating embedding features directly in Qdrant Cloud would eliminate the need to depend on external solutions.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
 

Setup Cost

Amplitude's high pricing and complex billing for larger data volumes cause challenges and lengthy negotiations for users.
Qdrant offers cost-effective enterprise pricing but scaling may require migrating to paid plans for advanced features and support.
Pricing is often egregiously high, and the company has changed billing models on us once already.
Data Analyst & Data Protection Officer at WeSalute
We are using a free version and would upgrade to a paid version if it were cheaper.
CEO at a tech vendor with 10,001+ employees
Amplitude's pricing is good and not overpriced; it is fair for the amount of data we are extracting and the analysis we perform.
Senior data engineer at a financial services firm with 10,001+ employees
Using Qdrant is free.
Chief Ai Scientist at Predictive Systems
Regarding pricing, setup costs, and licensing, since I am using only the free tier of Qdrant Cloud, there are no setup costs involved.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Licensing posed no issues, as Qdrant is open-source software with no upfront fees.
Automation Engineer at a educational organization with 11-50 employees
 

Valuable Features

Amplitude excels in segmentation, cohort analysis, and integration, enhancing data-driven decision-making and user experience optimization.
Qdrant enhances search precision using hybrid vectors, offers cost-effective deployment, and supports efficient AI handling with flexible APIs.
Based on Amplitude charts and outcomes, our product team takes decisions, so it has improved decision-making.
Data Science Engineer at BebopBee, Inc.
Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster.
CEO at a tech vendor with 10,001+ employees
Collaboration was a significant part. What improves collaboration is the self-serve functionality, which was a big deal for PMs to have access to just that data and also the base layer of how that data is structured, which connects to clicks that every report refers to.
Senior Business Analyst at Arcteryx
The ability of Qdrant to handle high-dimensional vectors for my AI projects is pretty fast, and I think it's the best we have used so far.
Chief Ai Scientist at Predictive Systems
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.
Analyst at Synergy Connect
The best features of Qdrant are GPU support, which enables very fast processing, and a very light footprint as it uses fewer resources.
Co Founder & CEO at SaYukth Private Limited
 

Categories and Ranking

Amplitude
Ranking in AI Data Analysis
13th
Average Rating
8.6
Reviews Sentiment
5.3
Number of Reviews
11
Ranking in other categories
Customer Data Analysis (1st), Web Analytics (1st), Mobile Marketing and Advertising (2nd), User Activity Monitoring (5th), AI Customer Experience Personalization (8th)
Qdrant
Ranking in AI Data Analysis
11th
Average Rating
9.0
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
Open Source Databases (9th), Vector Databases (4th)
 

Mindshare comparison

As of July 2026, in the AI Data Analysis category, the mindshare of Amplitude is 0.4%. The mindshare of Qdrant is 0.4%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Qdrant0.4%
Amplitude0.4%
Other99.2%
AI Data Analysis
 

Featured Reviews

Saurav Bhattacharjee - PeerSpot reviewer
Senior Business Analyst at Arcteryx
Empowers teams to build visualization-rich reports and make faster decisions using historical user behavior data
I think areas for Amplitude's improvement include data retention. The maximum data I have worked with, the clickstream data on Amplitude, is two years, whereas we rely on Tableau for historical data of at least two years. I am not sure whether it was my organization paying for lower retention or not, but having historical data would take away the reliance on Tableau. Secondly, reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful. Lastly, a more focused approach on error logs is necessary. I have found that, at least with Intuit, we used Splunk more for error logs than Amplitude. Although Amplitude had the capability, developers seemed to prefer Splunk, so if that could be improved, it would be good.
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.
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
902,894 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
12%
Insurance Company
9%
Manufacturing Company
8%
Outsourcing Company
7%
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
By reviewers
Company SizeCount
Small Business2
Large Enterprise9
By reviewers
Company SizeCount
Small Business8
 

Questions from the Community

What needs improvement with Amplitude?
Amplitude can be improved by allowing more than a two-year look back window for most analyses. Usually, all they offer is that two-year look back window, and longer form time series analysis seems ...
What is your primary use case for Amplitude?
Amplitude is our main product insights system, and it allows us to view the activity on our website and quantify certain KPIs about how users interact with the site. We measure things such as month...
What advice do you have for others considering Amplitude?
I chose a rating of nine out of ten because Amplitude has virtually every functionality that we need except for the aforementioned lack of long form time series analysis, and their pricing is often...
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

 

Also Known As

ClearBrain
No data available
 

Overview

 

Sample Customers

Nokia, Yik Yak, QuizUp, CrunchBase, Rhapsody, PlanGrid, Acquia, Patreon, SeatGeek, Etermax
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 Amplitude vs. Qdrant and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.