Why The Mainframe Still Matters in 2019
Mainframes have been the workhorses of the corporate data center for more than half a century. With the advent of new technologies such as the cloud and low-cost x86 commodity servers, many tech pundits expected the mainframe to fade away sooner rather than later. But that’s far from the case. In fact, in 2019 the venerable mainframe will be as relevant as ever for many enterprises around the world. Here’s why.
Mainframes Continue to Shine at Traditional Tasks
Mainframes are still hard at work doing the jobs they have traditionally done. More than 70% of Fortune 500 enterprises continue to use mainframes for their most crucial business functions.
For example, when it comes to high-speed transaction processing, mainframes simply have no peer in terms of speed, the volume of transactions they can handle, and cost-effectiveness. That’s why banks still lean on mainframes for their core operations. Many customer interactions, such as credit card and ATM transactions, are carried out through high volume, real-time, online transaction processing (OLTP). Banks also continue to depend on overnight mainframe batch runs to process customer statements, internal financial reports, and much more.
In addition to their advantages over contemporary alternatives in high-speed processing capabilities, mainframes have held their grip on long-time users through their ability to handle multiple terabytes of data without breaking a sweat. That’s particularly important not only in banking, but in other information-intensive areas such as government, healthcare, insurance, utilities, and education.
A recent survey reveals that among the largest enterprise mainframe users, 71% expect the workloads handled by those systems to increase in coming years.
Mainframes are Successfully Adapting to New Use Cases
For example, with its new ability to tap into the growing AI ecosystem through use of open source languages and tools such as Scala, Python, TensorFlow, and Apache SparkML, the mainframe has become a highly capable machine learning host. And with vendors like Syncsort offering tools to integrate the huge amounts of highly valuable data residing on mainframes with Hadoop data lakes and analytics platforms like Splunk, performing big data analytics no longer requires off-loading mainframe data to the cloud or an x86 server environment.
One of the most attention-grabbing of the new uses in which mainframes now excel is blockchain. The mainframe’s advantages over x86 servers in response time, transaction throughput, scalability, and particularly security, make it the ideal blockchain host.
That security advantage is decisive. The blockchain model is entirely dependent on transaction records being carried in a chain of data blocks that, once assembled, cannot be changed. Because of their superior processing power, mainframes can provide the protection of 100% end-to-end encryption without degrading performance. In fact, IBM claims that its mainframes encrypt data 18 times faster than x86 platforms at just 5% of the cost.
Other areas in which the mainframe is carving out a significant spot for itself in the modern era of IT include DevOps, cloud computing (both public and private clouds), and running multiple virtual operating systems.
The Mainframe is Here to Stay!
As this brief survey of the mainframe’s place in the current IT landscape shows, “big iron” is not going away any time soon. In fact, according to a recent survey by Forrester Research, almost half of enterprises expect to increase their usage of mainframes in the 2018-2019 timeframe.
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