Decades ago mainframe technology was the obvious choice for big companies wanting to automate and increase efficiency.

    Today mainframes represent a massive?accumulated investment:

    $5 Trillion

    in data assets


    transactions per year
    60% of all transactions


    of critical corporate data


    Fortune 500 are dependent


    Still the best

    Mainframes are still the best in the business for large database, security and reliability but for storage, archive, development, analytics, service delivery and other less critical work, the mainframe is inflexible and expensive.


    The cost and risk of migrating from the mainframe has put it out of the question for most and optimising workload across shared platforms is the answer.


    The cost of mainframe hardware resource and software licences are literally extortionate because customers have no practical alternative.
    With limited remaining product life, mainframes have become prohibitively expensive to run so resources are tightly managed and inflexible. Meanwhile in the Cloud, limitless resources are available on demand, are better suited to web access and are so low cost as to be almost free. The case for offloading work such as analytics and development from the mainframe to the Cloud is impossible to ignore. Millions can be saved from the enterprise IT budget.
    So why isn’t everybody doing it?? Well, because the newer platforms used in Cloud systems evolved from a technology, as incompatible with the mainframe as English is with Chinese.? Until now the process of extracting, transforming and loading the data from the mainframe to another platform has been complex, expensive and unreliable.? So, as the mainframe is the last major computing domain to be software-defined, somebody had to come to the rescue.
    ?So we did.

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