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Apache Derby vs Oracle Database In-Memory comparison

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Apache Derby

651 views|582 comparisons
Oracle Logo

Oracle Database In-Memory

Read 27 Oracle Database In-Memory reviews
1,740 views|1,364 comparisons
100% willing to recommend
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Buyer's Guide
Relational Databases Tools
April 2024
Executive Summary

We performed a comparison between Apache Derby and Oracle Database In-Memory based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.
To learn more, read our detailed Relational Databases Tools Report (Updated: April 2024).
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Featured Review
Use Apache Derby?
Priyank Shrivastava
Researched Apache Derby but chose Oracle Database In-Memory: User friendly with great scalability but needs to move toward intelligent AI
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
Information Not Available
  • "Database In-Memory is priced a bit higher than its competitors like Microsoft."
  • "The pricing is pretty good so I rate it an eight out of ten."
  • "Oracle Database In-Memory is expensive."
  • "I rate the pricing a zero out of ten because Database In-Memory is too costly."
  • "It's quite costly and it comes with a fixed price."
  • "The solution's pricing is high."
  • "The product is expensive."
  • "There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."

    • More Oracle Database In-Memory Pricing and Cost Advice →

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    Questions from the Community
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    What do you like most about Oracle Database In-Memory?
    Top Answer:We can integrate it with any data sources as well.
    Read all 16 answers   →
    What is your experience regarding pricing and costs for Oracle Database I...
    Top Answer:The cost of the product is high. There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution.
    Read all 13 answers   →
    What needs improvement with Oracle Database In-Memory?
    Top Answer:The platform’s pricing needs improvement.
    Read all 17 answers   →
    Ranking
    26th
    out of 37 in Relational Databases Tools
    Views
    651
    Comparisons
    582
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    8th
    out of 37 in Relational Databases Tools
    Views
    1,740
    Comparisons
    1,364
    Reviews
    12
    Average Words per Review
    392
    Rating
    9.0
    Comparisons
    Learn More
    Apache
    Oracle
    Overview

    Apache Derby, an Apache DB subproject, is an open source relational database implemented entirely in Java and available under the Apache License, Version 2.0. Some key advantages include:

    • Derby has a small footprint -- about 2.6 megabytes for the base engine and embedded JDBC driver.
    • Derby is based on the Java, JDBC, and SQL standards.
    • Derby provides an embedded JDBC driver that lets you embed Derby in any Java-based solution.
    • Derby also supports the more familiar client/server mode with the Derby Network Client JDBC driver and Derby Network Server.
    • Derby is easy to install, deploy, and use.

    Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

    Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

    The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

    For more information on Oracle Database In-Memory, visit Oracle.com

    Sample Customers
    Logitech, Splice Machine, CrowdStrike, Lever, Human Solutions
    Shanghai Customs
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Educational Organization11%
    Manufacturing Company8%
    Government7%
    REVIEWERS
    Financial Services Firm18%
    Manufacturing Company18%
    Government12%
    Computer Software Company12%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company12%
    Manufacturing Company9%
    Government8%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    REVIEWERS
    Small Business23%
    Midsize Enterprise15%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    Relational Databases Tools
    April 2024
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    Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: April 2024.
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    Apache Derby is ranked 26th in Relational Databases Tools while Oracle Database In-Memory is ranked 8th in Relational Databases Tools with 27 reviews. Apache Derby is rated 0.0, while Oracle Database In-Memory is rated 8.8. On the other hand, the top reviewer of Oracle Database In-Memory writes "User friendly with great scalability but needs to move toward intelligent AI". Apache Derby is most compared with MySQL, SQL Server, Oracle Database and Oracle Java DB, whereas Oracle Database In-Memory is most compared with SAP HANA, Progress OpenEdge RDBMS, IBM Db2 Database, SQL Server and MySQL.

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    We monitor all Relational Databases Tools 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.