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Choosing the Right In-Memory Computing Solution
As in-memory computing (IMC) gains momentum across a wide range of applications, from fintech and ecommerce to telecommunications and IoT, many companies are looking to in-memory computing solutions to help them process and analyze large amounts of data in real time. However, the variety of in-memory computing product categories and solutions can be confusing, making it difficult to determine which solution is best for a particular application.
How In-Memory Computing Is Addressing Data-Intensive Use Cases
Based on insights from Jason Stamper of 451 Research and Nikita Ivanov, CTO of GridGain Systems, this whitepaper delves into these critical topics and discusses how Apache Ignite and GridGain are addressing them.
In-Memory Computing: Now and Tomorrow
The in-memory platforms of the future will embrace these trends and go further. Not only will they offer the key capabilities that users expect, such as strong SQL support, they will also address the needs of emerging use cases, such as IoT, machine learning, hybrid transactional/analytical processing (HTAP), and transformative new storage technologies such as non-volatile memory.