Cassandra vs Qdrant comparison

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Cassandra

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Executive Summary

We performed a comparison between Cassandra and Qdrant based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

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Cassandra vs. Qdrant

June 2026

Helped 908,800 peers since 2012

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

Cassandra

Ranking in Vector Databases

12th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (5th)

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 Cassandra is 3.9%, up from 1.8% 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%
Cassandra	3.9%
Other	89.7%

Vector Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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Chirag Morajkar

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.

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Quotes from Members

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

Pros

"The solution provided us with more than 100K PNRs a second and because the company was international there was a heavy data write, and at the same time a heavy data read."

"Some of the valued features of this solution are it has good performance and failover."

"Cassandra is a stable solution."

"Our primary use case for the solution is testing."

"The time series data was one of the best features along with auto publishing."

"We can add almost one million columns to the solution."

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"It's used as our cloud based backend store as a temporary cache and for storing data that streams through our data pipe."

More Cassandra 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."

"Qdrant is one of the best vector databases out there that is also open source."

"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."

"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."

"Qdrant has positively impacted my organization mainly by reducing usage costs for AI because in the older system, in order to get the context, we were just dumping everything into the system, which would inflate the cost of the API, whatever AI we were using, such as OpenAI or Claude."

"Qdrant is an excellent vector database that anyone would want to use with RAG AI."

"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."

Cons

"The disc space is lacking. You need to free it up as you are working."

"We have had stability issues including out of memory issues and crashes with earlier versions of the product."

"We found some issues with the batch inserts when the data volume is large."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

"Fine-tuning was a bit of a challenge."

"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."

"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

More Cassandra 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."

"There can always be improvements needed for Qdrant, but I do not want to add anything at this time."

"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."

"Qdrant is pretty good overall, but it can be improved. For example, the UI could be better, and it has pretty much very generic features that every other vector database provides."

"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."

"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."

"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."

"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."

Pricing and Cost Advice

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"We are using the open-source version of Cassandra, the solution is free."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"We pay for a license."

"I use the tool's open-source version."

"I don't have the specific numbers on pricing, but it was fairly priced."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Construction Company

Performing Arts

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	9
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	10

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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, ...

MongoDB Enterprise Advanced vs Cassandra

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Compared 10% of the time

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Compared 9% of the time

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Compared 8% of the time

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Compared 7% of the time

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Product Reports

Download Cassandra product report

Cassandra

August 2026

Download Qdrant product report

July 2026

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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