Hadoop Operating Modes Explained
There are two running modes for Hadoop: standalone mode and distributed mode.
- Standalone mode: In standalone mode, Hadoop runs on only one machine, with all components running on the same machine. This mode is suitable for development and testing, but not for processing large-scale data.
- Distributed mode: In distributed mode, a Hadoop cluster consists of multiple machines, each running one or more Hadoop components such as NameNode, DataNode, ResourceManager, NodeManager, etc. Data is stored across different machines and computation tasks can be run in parallel. This mode is suitable for handling large-scale data and high concurrency tasks.
