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In-memory computing primarily relies on keeping data in a server’s RAM instead of much slower spinning disk or flash devices and massive parallelization as a means of processing at faster speeds. In-memory computing especially applies to processing problems that require extensive access to data analytics, reporting, data warehousing, high-speed transactions and big data applications as mentioned in last week’s article.
A confluence of factors have contributed to the strong business case for IMC, including the steep upward slope for the collection of business data, the demand for analytics approaching real-time, and increased complexity of business software applications. In light of these trends, added performance translates directly into clear business value:
- With IMC you can use less hardware to (i) support the required SLAs directing performance and throughput, (ii) get better data center consolidation, and (iii) significantly reduce capital costs, as well as infrastructure and operational overhead.
- With IMC you can significantly extend the lifetime of your existing hardware and software by getting increased performance and improve its ROI by using your current infrastructure longer and making it perform better.
Click here to read the full article found on Inside-BigData!