In-Memory: Speeding Up Value by Using Operational Intelligence

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Using in-memory with the cloud.

Cloud computing plays an important role in scaling infrastructure to support increased demand. In-memory data grids have emerged to scale application performance to address rapidly growing demand. The technologies are complementary.

In-memory data grids can scale out their storage and performance linearly as servers are added to the grid or scaled back. In-memory data grids enable cloud-hosted applications to quickly and easily be deployed on an elastic pool of cloud servers. The result is scalable performance, maintaining fast data access even as workloads increase. 

In-memory technology was around long before Big Data became a buzzword. Parallel computing dates back to the 1980s. With lower cost memory and greater workload demand, in-memory computing has emerged as a key technology. A diverse array of industries, such as finance, retail and ecommerce, looking to capture business opportunities in real-time, are turning to in-memory.

As Big Data has come to the forefront of the next wave of technological innovation, in-memory data grids have become a powerful tool. ScaleOut Software has identified five ways organizations can use in-memory technology. 


Related Topics : APC, Resellers, Data Replication, Extract Transform and Load, Structured Data Integration

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