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What is In-Memory Computing?
Computing that stores data in RAM across many connected devices and processes it in parallel, which significantly speeds processing.
In-memory computing definition
In-memory computing (IMC) stores data in RAM rather than in databases hosted on disks. This eliminates the I/O and ACID transaction requirements of OLTP applications and exponentially speeds data access because RAM-stored data is available instantaneously, while data stored on disks is limited by network and disk speeds. IMC can cache massive amounts of data, enabling extremely fast response times; and store session data, which can help achieve optimum performance.
Why in-memory computing?
IMC enables extremely fast processing which helps businesses to increase performance, quickly analyze massive volumes of data in real time at very high speeds, and detect patterns. IMC has proven to improve complex event processing, and deliver faster reporting and product releases, quicker and more accurate decision making, a better user experience, and higher customer satisfaction.
Why HPE for in-memory computing?
HPE offers unparalleled in-memory computing expertise to power business processing and perform analytics in real time. HPE enables enterprises to fully capitalize on next generation in-memory computing data analytics to achieve greater insight, accelerate innovation, and gain competitive advantage. HPE offers easy-to-order and easy-to-deploy IMC systems that are simple to manage and support—driving fast time to value. HPE helps take the guesswork and risk out of migrating to IMC.
Speak with an HPE expert about how you can get started with HPE solutions for in-memory computing.
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This data sheet covers the specifications, features, and benefits on the HPE NonStop In-Memory Cache. Fast storage facility that your mission-critical applications can leverage to share data across CPUs.
Solution Brief : Operational analytics in seconds, with in-memory computing at the scale of big data
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Prototype from The Machine research project upends 60 years of innovation and demonstrates the potential for Memory-Driven Computing.