Difference between Spark’s local mode and cluster mode
| Local Mode | Cluster Mode |
|---|---|
| Runs Spark on a single machine | Runs Spark on a cluster of machines |
| Suitable for local development, testing, | Suitable for production deployments |
| and small-scale data processing | and large-scale data processing |
| Utilizes the resources of a single | Utilizes the resources of multiple |
| machine | machines |
| No distributed coordination required | Requires coordination among cluster nodes |
| Limited scalability | Offers high scalability and fault tolerance |
| No external resource manager required | Requires an external resource manager |
