4 reasons why your company should consider in-memory big data processing

Fast isn’t fast enough for some enterprises looking to recoup big data insights. After all, not every big data query can wait until the next day—or longer. Organizations want business insights in real time or near real time.

One way they are getting there is by implementing in-memory data processing, which can return almost immediate results. “We have seen in-memory big data processing explode over the last two years,” said Matthias Golombeck, CTO at Exasol, an in-memory big data processing provider. In fact, to meet the growing demand for in-memory processing legacy system companies such as Oracle, IBM, Microsoft, and Teradata have added in-memory big data processing capability to their databases.

Author: Mary Shacklett

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