DataStax Enterprise vs Qdrant comparison

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DataStax Enterprise

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Executive SummaryUpdated on Feb 8, 2026

DataStax Enterprise and Qdrant are products in the database management category. DataStax appears to have the upper hand due to its comprehensive features and robustness in enterprise environments.

Features: DataStax Enterprise offers advanced analytics, rich search integration, and multi-model capabilities that ensure scalability and performance. Qdrant provides efficient vector similarity search, real-time data processing, and quick data retrieval functionality.

Ease of Deployment and Customer Service: DataStax Enterprise offers flexible deployment options, including cloud, hybrid, and on-premise solutions, along with extensive customer service support. Qdrant's simplicity in its deployment model and quick setup are user-friendly, although it offers fewer deployment configurations.

Pricing and ROI: DataStax Enterprise has a higher initial setup cost that is justified by its rich feature set which can lead to better ROI for large-scale operations. Qdrant delivers a cost-effective initial setup suitable for small to medium applications with efficient resource usage ensuring a solid ROI.

To learn more, read our detailed DataStax Enterprise vs. Qdrant Report (Updated: June 2026).

DataStax Enterprise vs. Qdrant

June 2026

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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

5.5

DataStax Enterprise accelerated deployment, improved uptime to 99.9%, and enhanced efficiency despite higher infrastructure costs and measurement challenges.

Sentiment score

5.1

Qdrant reduces costs and enhances productivity with efficient integration, open-source benefits, and improved pipeline processing, despite database issues.

We have seen a return on investment with DataStax Enterprise as we saved a lot of money and time, despite investing more on infrastructure; our ongoing business success with a 99.9% uptime helps us earn more.

AshishSingh3

Senior database engineer at ToTheNew

Earlier it was around 15 months, and we have been able to deploy and scale our application within 10 months.

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this.

For more quotes and insights, download the DataStax Enterprise report

Senior Software Engineer at Deloitte

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.

Amrit Dash

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.

For more quotes and insights, download the Qdrant report

Product Engineer at a tech vendor with 11-50 employees

Customer Service

Sentiment score

6.9

DataStax Enterprise's support team is praised for responsiveness, strong real-time processing, and high user satisfaction, with room for expanded contact methods.

Sentiment score

4.3

Qdrant's open-source nature fosters effective community-driven support, with well-rated online resources addressing most user queries efficiently.

Real-time transaction processing, both reads and writes, is where DataStax Enterprise shines the most.

Senior Software Engineer at Deloitte

I would rate the customer support nine out of 10.

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Senior Engineer at a financial services firm with 10,001+ employees

one of my colleagues contacted them and found it to be pretty efficient

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

It's open source, so we house it on our server.

AllanTan1

Chief Ai Scientist at Predictive Systems

The documentation provided by Qdrant covers most queries effectively.

China Venkanna Varma Ponnamanda

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

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Scalability Issues

Sentiment score

8.4

DataStax Enterprise enhances scalability and efficiency with active-active architecture, auto-scaling, and reduced management costs, benefiting global deployments.

Sentiment score

5.3

Qdrant offers efficient scalability and performance, effectively managing increased workloads and easily integrating with custom database services.

Overall, we saw a decrease in operational costs due to better resource usage and less manual work, which made my team more efficient and allowed us to focus on new projects.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

DataStax Enterprise's scalability is very fast with linear scalability and hence is very scalable.

Senior Software Engineer at Deloitte

The active-active architecture helped us really scale and provide data to both Singapore and Indian users.

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Senior 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.

Vedant Wani

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.

For more quotes and insights, download the Qdrant report

Product Engineer at a tech vendor with 11-50 employees

Stability Issues

Sentiment score

9.0

DataStax Enterprise offers stability, reducing downtime by 40%, and efficiently scales from terabytes to petabytes for reliable data management.

Sentiment score

7.8

Qdrant is praised for stability and ease of use, with minor update needs and efficient file lock system.

DataStax Enterprise provides enough stability for our organization, and scaling can be done up to terabytes and petabytes.

For more quotes and insights, download the DataStax Enterprise report

Senior Engineer at a financial services firm with 10,001+ employees

After using DataStax Enterprise, our system downtime dropped by approximately 40%, helping us avoid lost revenue.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

You need to patch Qdrant as soon as patches are released.

China Venkanna Varma Ponnamanda

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.

For more quotes and insights, download the Qdrant report

Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees

Room For Improvement

DataStax Enterprise users seek improved hybrid integration, backward compatibility, customer support, interface usability, cost efficiency, and enhanced automation features.

Qdrant could improve with UI updates, better integration, simplified setup, enhanced clustering, and support for analytics and image vectorization.

Better compatibility with prior versions in terms of codebases should also be improved.

Senior Software Engineer at Deloitte

For example, it can implement some cost optimization where the license can be expensive, and compared to open-source Cassandra, cost is a concern.

For more quotes and insights, download the DataStax Enterprise report

Senior Engineer at a financial services firm with 10,001+ employees

More built-in monitoring and alerting tools would make it easier to find and fix problems quickly.

Vivek Yadav

DevSecOps Engineer (Software Development Engineer II) at a financial services firm with 1,001-5,000 employees

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.

China Venkanna Varma Ponnamanda

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.

For more quotes and insights, download the Qdrant report

Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees

Setup Cost

Qdrant's open-source model minimizes setup costs, though developer time and paid plans can increase expenses; Supabase offers savings.

For smaller organizations working under a tight budget, it might not be very affordable compared to other alternatives.

For more quotes and insights, download the DataStax Enterprise report

Senior Software Engineer at Deloitte

Using Qdrant is free.

AllanTan1

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.

For more quotes and insights, download the Qdrant report

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.

Amrit Dash

Automation Engineer at a educational organization with 11-50 employees

Valuable Features

DataStax Enterprise provides scalable, secure, and easy-to-use features with Cassandra integration, enhancing uptime and productivity.

Qdrant excels with hybrid search, cost-efficient cloud, Python support, high-speed queries, and no-code deployment for user satisfaction.

The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers.

For more quotes and insights, download the DataStax Enterprise report

Senior Software Engineer at Deloitte

I can confirm that the outcomes of using DataStax Enterprise show that our database uptime has increased drastically to around 99.9%.

AshishSingh3

Senior database engineer at ToTheNew

DataStax Enterprise has positively impacted my organization because during research for a NoSQL database, developers are very positive about using DataStax Enterprise because of its really easy setup and the querying to the database is very efficient.

Arinjay Gangwar

Software Developer at a consultancy with 11-50 employees

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.

AllanTan1

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.

Vedant Wani

Analyst at Synergy Connect

Qdrant supports high-dimension vectors and cosine similarity, which any vector database should have, and it is pretty fast.

Mir Shahzad Mubeen

CTO at HoneyComb AI

For more quotes and insights, download the Qdrant report

Categories and Ranking

DataStax Enterprise

Ranking in Vector Databases

15th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

NoSQL Databases (11th)

Qdrant

Ranking in Vector Databases

4th

Average Rating

8.8

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

Open Source Databases (8th), AI Data Analysis (10th)

Mindshare comparison

As of August 2026, in the Vector Databases category, the mindshare of DataStax Enterprise is 2.0%, up from 0.6% compared to the previous year. The mindshare of Qdrant is 6.4%, down from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Mindshare Distribution
Product	Mindshare (%)
Qdrant	6.4%
DataStax Enterprise	2.0%
Other	91.6%

Vector Databases

Featured Reviews

Continuous data access has ensured high uptime and has supported real-time transactional processing

Senior Software Engineer at Deloitte

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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Building accurate no-code resume screeners has saved weeks in document search workflows

Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees

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

Financial Services Firm

17%

Construction Company

Manufacturing Company

Retailer

Comms Service Provider

11%

Manufacturing Company

11%

Financial Services Firm

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	6

By reviewers
Company Size	Count
Small Business	10

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing is pretty good. I do not find any difficulty in it.

What needs improvement with DataStax Enterprise?

The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area. Additionally, more built-in monitoring and aler...

What is your primary use case for DataStax Enterprise?

My main use cases for DataStax Enterprise are building a scalable and high availability application that needs to handle large amounts of data across multiple locations, and for real-time analytics...

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?

The UI can be a bit better, but that is just my own personal opinion. Qdrant is pretty good overall, but it can be improved. For example, the UI could be better, and it has pretty much very generic...

What is your primary use case for Qdrant?

I have been designing vector databases, so I use Qdrant mostly to explore how the engineers at Qdrant have built the whole vector database, specifically the multi-vector system. In terms of usage, ...

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Product Reports

Download DataStax Enterprise product report

DataStax Enterprise

August 2026

Download Qdrant product report

July 2026

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

Qdrant is a powerful tool for efficiently organizing and searching large volumes of data. It is particularly useful for tasks such as data indexing, similarity search, and recommendation systems.

With fast and accurate results, it is suitable for various applications including e-commerce, content management, and data analysis. Users appreciate Qdrant's efficient search capabilities, high performance, and ease of use.

Its quick and accurate retrieval of relevant information allows for easy navigation and analysis of large datasets.

The intuitive interface and straightforward setup process make it accessible to users with varying levels of technical expertise.

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

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