Big data software and analytics originally developed with a mirror of the realities of hardware: transient and expensive; memory is fast, permanent and cheap, and the disk is low.
But big data software is changing to give rise to a wide range of solutions that focus on in-memory architectures.
The ability to have everything conducted in-memory is appealing because it promises to speed up operations. However, challenges have arisen that make more memory available. In-memory computing has a wide range of approaches.
As in-memory computing (IMC) approaches are being adopted on a massive scale, it’s clear the future holds exciting opportunities for the enterprise technology realm.
The Birth of Gartner’s HTAP Computing
IMC is a new thing in the industry. The use of over-time caching has been adopted to speed up everyday operations. As the technology for memory computing and the mantra of big data spreads, new twists continue to be added such as the “HTAP” (Hybrid Transactional/Analytical Processing) and “memory-first” approaches first introduced by Gartner.
HTAP is a way to have a single database that supports the analytical and transactional workloads of an organization. Many IMC solutions emphasize the use of HTAP.
Here’s why:
IMC applies ancient thinking to a database. According to most technologists, IMC slides between the database and applications, acting as a layer that speeds up the process up to 10 times faster. This provides greater efficiency and minimal disruption.
Is the IMC Here to Stay?
IMC has worked for over one decade and shows no signs of slowing down.
However, in our experience, people only seek professionals when they have tried everything in their power to achieve a solution on their own. People continue to invest in databases in many ways.
Convincing businesses to invest in a new database will be difficult. HTAP comes at a time when IMC is glorified. This means that the database becomes the backup when IMC becomes the system of record.
IMC may be one of the greatest technologies concerning memory technology evolution and speed. How you access your data will depend on how you use storage and SQL.
From Caching to the In-Memory Relational Database
While IMC has been around for some time, its integration with SQL only occurred in the last four years. Since no one wants to make use of APIs, we have a new way to access the data through animated solutions.
The slide-in strategy developed to input SQL into the system proved better in use. As for storage, the IMC solutions needed to utilize backup and storage can resume after failures. In-memory computing also focuses on the computational grid. This means that its function ranges from supercomputers to the laptops.
IMC: The Platform for the Win
There is a lot to cover regarding in-memory computing.
Consider streaming as an example:
Many clients need to digest data in real time. When you adopt the use of IMC technology, you start paying the price instantly. This means instant access to data and information.
The first thing you should do is to develop your strength through your current cloud system. You will also want integrate new things as technology evolves. If you do not adapt, your competitor will. You will, in the end, be out of business.