Cassandra vs Oracle NoSQL comparison

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1,281 views|1,043 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: April 2024).
769,630 professionals have used our research since 2012.
Featured Review
Himanshu Amodwala
GLEDSONCOOPER
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The time series data was one of the best features along with auto publishing.""The solution's database capabilities are very good.""I am getting much better performance than relational databases.""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.""Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly.""The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use.""Our primary use case for the solution is testing.""The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

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"NoSQL has high availability. I think it's perfect from a technical perspective. It's quick to run and go.""The product meets expectations when it comes to stability.""The tool is easy to learn.""The tool performs well."

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Cons
"The secondary index in Cassandra was a bit problematic and could be improved.""The solution doesn't have joins between tables so you need other tools for that.""The disc space is lacking. You need to free it up as you are working.""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.""Maybe they can improve their performance in data fetching from a high volume of data sets.""Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product.""Cassandra could be more user-friendly like MongoDB.""Fine-tuning was a bit of a challenge."

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"Oracle could improve how NoSQL works in containers. I don't think NoSQL needs any new features, but I want to see new features in the Oracle Cloud Infrastructure. I would like to see some improvements in OCI's building options.""Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work.""The licensing model is bad.""The installation is difficult."

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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 →

  • "The product is expensive and Oracle could work to lower the licensing cost."
  • More Oracle NoSQL Pricing and Cost Advice →

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    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 »
    Top Answer:The product must be added to a cloud platform. The link to Oracle must be provided on the cloud platform. It will help people to integrate the tool easily. We need the solution mainly for updating or… more »
    Ranking
    4th
    out of 18 in NoSQL Databases
    Views
    3,406
    Comparisons
    2,666
    Reviews
    7
    Average Words per Review
    358
    Rating
    7.3
    8th
    out of 18 in NoSQL Databases
    Views
    1,281
    Comparisons
    1,043
    Reviews
    2
    Average Words per Review
    342
    Rating
    8.0
    Comparisons
    Couchbase logo
    Compared 21% of the time.
    InfluxDB logo
    Compared 12% of the time.
    MongoDB logo
    Compared 12% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    DataStax logo
    Compared 4% of the time.
    Learn More
    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.

    The Oracle NoSQL Database (ONDB) provides network-accessible multiterabyte distributed key/value pair storage with predictable latency. Data is stored in a very flexible key-value format, where the key consists of the combination of a major and minor key (represented as a string) and an associated value (represented as a JSON data format or opaque set of bytes). It offers full Create, Read, Update and Delete (CRUD) operations, with adjustable durability and consistency guarantees. It also provides powerful and flexible transactional model that eases the application development.

    The Oracle NoSQL Database is designed to be a highly available and extremely scalable system, with predictable levels of throughput and latency, while requiring minimal administrative interaction.

    For more information on Oracle NoSQL Database, visit Oracle.com

    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
    Airbus, Globacom, WebAction
    Top Industries
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company13%
    University13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company14%
    Comms Service Provider7%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company14%
    Government8%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business39%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business31%
    Midsize Enterprise14%
    Large Enterprise55%
    Buyer's Guide
    NoSQL Databases
    April 2024
    Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: April 2024.
    769,630 professionals have used our research since 2012.

    Cassandra is ranked 4th in NoSQL Databases with 19 reviews while Oracle NoSQL is ranked 8th in NoSQL Databases with 7 reviews. Cassandra is rated 8.0, while Oracle NoSQL is rated 8.2. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of Oracle NoSQL writes "The implementation is simple and only takes 15 to 30 minutes". Cassandra is most compared with Couchbase, InfluxDB, MongoDB, ScyllaDB and DataStax, whereas Oracle NoSQL is most compared with MongoDB, ScyllaDB, InfluxDB and Aerospike Database 7.

    See our list of best NoSQL Databases vendors.

    We monitor all NoSQL 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.