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Amazon QLDB vs Oracle NoSQL comparison

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Amazon QLDB

260 views|182 comparisons
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Oracle NoSQL

Read 2 Oracle NoSQL reviews
1,220 views|905 comparisons
Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "The product is expensive and Oracle could work to lower the licensing cost."

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    What do you like most about Oracle NoSQL?
    Top Answer:The product meets expectations when it comes to stability.
    What is your experience regarding pricing and costs for Oracle NoSQL?
    Top Answer:The pricing has a little bit of room for improvement. Oracle might try to get the cost down to make it a little bit more comfortable for a broader user base.
    What needs improvement with Oracle NoSQL?
    Top Answer:The main areas that need improvement with NoSQL are in the area of big data and user-friendly presentation. It is not easy to manage big data when it comes to the user experience. All the transactions… more »
    Ranking
    14th
    out of 16 in NoSQL Databases
    Views
    260
    Comparisons
    182
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    6th
    out of 16 in NoSQL Databases
    Views
    1,220
    Comparisons
    905
    Reviews
    2
    Average Words per Review
    636
    Rating
    8.5
    Comparisons
    Also Known As
    Amazon Quantum Ledger Database
    Learn More
    Amazon
    Oracle
    Overview

    Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. Amazon QLDB tracks each and every application data change and maintains a complete and verifiable history of changes over time.

    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

    Offer
    Learn more about Amazon QLDB
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    Learn more about Oracle NoSQL
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    Sample Customers
    accenture, digital asset, health direct, klarna, osano, realm, smaato, splunk, wipro, zilliant
    Airbus, Globacom, WebAction
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Computer Software Company19%
    Comms Service Provider18%
    Financial Services Firm15%
    Government7%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise14%
    Large Enterprise71%
    Buyer's Guide
    NoSQL Databases
    July 2022
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    Find out what your peers are saying about MongoDB, Cloudera, Apache and others in NoSQL Databases. Updated: July 2022.
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    620,319 professionals have used our research since 2012.

    Amazon QLDB is ranked 14th in NoSQL Databases while Oracle NoSQL is ranked 6th in NoSQL Databases with 2 reviews. Amazon QLDB is rated 0.0, while Oracle NoSQL is rated 8.6. On the other hand, the top reviewer of Oracle NoSQL writes "Proper dimensioning is the key to success with this solid performer". Amazon QLDB is most compared with MongoDB, whereas Oracle NoSQL is most compared with MongoDB, Cassandra, InfluxDB, Cloudera Distribution for Hadoop 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.