Cassandra vs Qdrant comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
344 views|264 comparisons
89% willing to recommend
Qdrant Logo
726 views|705 comparisons
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases.
To learn more, read our detailed Vector Databases Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured Review
Himanshu Amodwala
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
  • "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."
  • "We pay for a license."
  • "I don't have the specific numbers on pricing, but it was fairly priced."
  • More Cassandra Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.
    771,157 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time… more »
    Top Answer:There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using… more »
    Ask a question

    Earn 20 points

    Ranking
    11th
    out of 21 in Vector Databases
    Views
    344
    Comparisons
    264
    Reviews
    7
    Average Words per Review
    358
    Rating
    7.3
    12th
    out of 21 in Vector Databases
    Views
    726
    Comparisons
    705
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Couchbase logo
    Compared 21% of the time.
    MongoDB logo
    Compared 12% of the time.
    InfluxDB logo
    Compared 12% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    Oracle NoSQL logo
    Compared 7% of the time.
    Faiss logo
    Compared 27% of the time.
    Chroma logo
    Compared 14% of the time.
    Pinecone logo
    Compared 12% of the time.
    LanceDB logo
    Compared 12% of the time.
    Learn More
    Qdrant
    Video Not Available
    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.

    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
    Top Industries
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company13%
    University13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Comms Service Provider6%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm8%
    Comms Service Provider8%
    Educational Organization7%
    Company Size
    REVIEWERS
    Small Business39%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business30%
    Midsize Enterprise13%
    Large Enterprise56%
    Buyer's Guide
    Vector Databases
    May 2024
    Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    Cassandra is ranked 11th in Vector Databases with 19 reviews while Qdrant is ranked 12th in Vector Databases. Cassandra is rated 8.0, while Qdrant is rated 0.0. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, Cassandra is most compared with Couchbase, MongoDB, InfluxDB, ScyllaDB and Oracle NoSQL, whereas Qdrant is most compared with Faiss, Chroma, Pinecone and LanceDB.

    See our list of best Vector Databases vendors.

    We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.