DataStax vs Oracle NoSQL comparison

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DataStax Logo
311 views|291 comparisons
Oracle Logo
1,346 views|1,096 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between DataStax 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).
768,246 professionals have used our research since 2012.
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Pricing and Cost Advice
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  • "The product is expensive and Oracle could work to lower the licensing cost."
  • More Oracle NoSQL Pricing and Cost Advice →

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    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
    15th
    out of 18 in NoSQL Databases
    Views
    311
    Comparisons
    291
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    8th
    out of 18 in NoSQL Databases
    Views
    1,346
    Comparisons
    1,096
    Reviews
    2
    Average Words per Review
    342
    Rating
    8.0
    Comparisons
    Cassandra logo
    Compared 56% of the time.
    ScyllaDB logo
    Compared 27% of the time.
    MongoDB logo
    Compared 18% of the time.
    MongoDB logo
    Compared 45% of the time.
    Cassandra logo
    Compared 29% of the time.
    ScyllaDB logo
    Compared 8% of the time.
    InfluxDB logo
    Compared 7% of the time.
    Couchbase logo
    Compared 4% of the time.
    Learn More
    Overview
    Big data platform built on Apache Cassandra.

    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
    ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target
    Airbus, Globacom, WebAction
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm36%
    Healthcare Company9%
    Computer Software Company8%
    Real Estate/Law Firm8%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company14%
    Government8%
    Comms Service Provider7%
    Company Size
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise12%
    Large Enterprise63%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business30%
    Midsize Enterprise14%
    Large Enterprise56%
    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.
    768,246 professionals have used our research since 2012.

    DataStax is ranked 15th in NoSQL Databases while Oracle NoSQL is ranked 8th in NoSQL Databases with 7 reviews. DataStax is rated 0.0, while Oracle NoSQL is rated 8.2. On the other hand, the top reviewer of Oracle NoSQL writes "The implementation is simple and only takes 15 to 30 minutes". DataStax is most compared with Cassandra, ScyllaDB and MongoDB, whereas Oracle NoSQL is most compared with MongoDB, Cassandra, ScyllaDB, InfluxDB and Couchbase.

    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.