We have created a physical database “localDB.db”.

You can back up this database to a physical database after a predetermined period( like 10 mins) or a predeﬁned number of operations( like 5000 queries), as needed. Batch Write: You can perform a batch of read-write operations on the in-memory database.Caching: You can increase performance by using a small in-memory database( can lose data) with a large disk-based database( reliable).There are a few common examples in which an in-memory database can be useful. The performance requirement simply cannot be met with a persistent database.The target system has data to manage, but no persistent media.You should consider an in-memory database if When should you use it? An In-memory database uses RAM for storage, resulting in faster read-write operations. With an in-memory database, data is accessed much quicker, allowing you to analyze large volumes of complex data in real time. It decreases data latency by reducing the time needed to analyze data. In contrast, an in-memory database stores data directly in system memory, plugging directly into the high-speed, low-latency memory bus. Because it takes time to search for data that resides on disks, bottlenecks frequently occur. When the data is needed, it’s called into the local system memory - or RAM - and then is processed by the CPU. What is an In-Memory Database: The data in a traditional database is stored on disk.

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