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Database Clusters for the Masses

Posted by michael on from the no-slashdot-isn't-using-it dept.

grugruto writes "Cluster of databases is no more the privilege of few high-end commercial databases, open-source solutions are striking back! ObjectWeb, an Apache-like group, has announced the availability of Clustered JDBC (or C-JDBC). C-JDBC is an open-source software that implements a new concept called RAIDb (Redundant Array of Inexpensive Databases). It is simple: take a bunch of MySQL or PostgreSQL boxes, choose your RAIDb level (partitioning, replication, ...) and you obtain a scalable and fault tolerant database cluster."

2 of 278 comments (clear)

  1. Sigh - Looks like I have my work cut out for me... by Yoda2 · · Score: 4, Funny

    Off I go to starting coding a FORTRAN port...

  2. Also new! by Dark+Lord+Seth · · Score: 4, Funny

    RAID -- Redundant Array of Inexpensive Developers

    RAID 0
    Multiple developers work on the same project but none of them has any idea what the other is doing at the same time. One developer failing (caffeine dehydration, severe electrostatic shock, sex, etc) will cause the entire project to screw up and become a mess.

    RAID 1
    Extreme Programming.

    RAID 2
    Inefficient way to keep track of what developers are doing. For every 10 developers, 4 are needed to keep track of them and recover any error by the aforementioned 10 while they don't work together at all. Level of efficienty comparable to a modern goverment.

    RAID 3
    Equal to RAID 2, except all responsibility for checking the code is now granted to one person. The rest has been budget-cutted away. A bite more effective but considering people still don't cooperate, not too good.

    RAID 4
    Equal to RAID 3, escept people are finally working together now. Kinda efficient and fast, except it all still relies on that one person who checks the data.

    RAID 5
    Everyone knows what everyone else is doing, they all work perfectly together and they can easily miss one person because of that.

    --
    Hate me!