The amount of RAM needed for MongoDB depends on various factors such as the size of your dataset, the complexity of your queries, and the nature of your workload. MongoDB can perform well with different amounts of RAM, but having enough RAM to hold your frequently accessed data in memory can significantly improve performance.
In general, MongoDB benefits from having enough RAM to accommodate the working set, which is the portion of your data and indexes that are frequently accessed. If your working set fits in RAM, MongoDB can serve most queries directly from memory, leading to faster response times.
It’s recommended to allocate sufficient RAM to accommodate your working set and to leave room for the operating system and other processes. However, stating an exact amount of RAM is difficult without specific details about your MongoDB deployment, such as the size of your dataset, the number of concurrent connections, and the complexity of your queries.
As a starting point, MongoDB’s documentation and various performance tuning guides provide recommendations for configuring hardware based on the specifics of your use case. Monitoring the performance of your MongoDB instance and adjusting configurations as needed is also a good practice to ensure optimal performance.