For its tangible benefits of improved performance of applications, in-memory data grids are often used with databases. In-memory data grid framework allows reading of data and writing on data much faster than on a hard disk.
Structurally, an in-memory data grid is a structure that resides entirely on the random access memory (RAM) and is distributed among multiple servers.
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In-memory data grid displays exceptional virtues. It can handle big-data’s big three V’s: Variability, velocity, and volume. In-memory data grids can support very large number of in-memory updates per second. In addition, in-memory data grid can be clustered and scaled that support large amounts of data. These attributes sum up to enhance technical capabilities of in-memory data grid frameworks.
Due to a host of technical advantages, in-memory data grid frameworks are increasingly becoming part of business processes. Such frameworks allow greater productivity, faster decision making, and improved customer service. Mature solutions allow organizations to obtain the desired database processing speed. These solutions also allow to attain the scale desired for digital transformation and for omni channel customer experience initiatives.
Versatile from the core, In-memory Data Grid suitable for Myriad Applications
In-memory data grid frameworks are suitable for a number of applications across end-use industries. Some applications where in-memory data grid framework is beneficial are financial-instrument pricing in banks, user-preference computations in web applications, shopping carts in e-commerce, cloud applications, and reservation systems in the travel industry.
However, in-memory data grid frameworks require expert personnel to be incorporated in business process frameworks. Especially developers new to in-memory data grid frameworks need to understand the minute details to add the technology to the business process architecture.
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Prior to this, business process architecture experts need to understand if the need is to accelerate existing applications, or plan to develop new applications, or completely redesign existing framework, or design a framework with the best combination of all.