Hi @Aidzillafont, Databricks can run on several cloud platforms, including AWS, Azure, and Google Cloud. The cost of running Databricks would largely depend on the pricing policies of these cloud platforms.
However, if you are looking for a relatively cheaper option, you might want to consider using Databricks Light.
Databricks Light is the Databricks packaging of the open source Apache Sparkโข runtime.
It provides a runtime option for jobs that don't need the advanced performance, reliability, or autoscaling benefits of Databricks. When you run jobs on Databricks Light clusters, they are subject to lower pricing. However, Databricks Light does not support autopilot, highly concurrent clusters, notebooks, dashboards, collaboration features, and connectors to various data sources and BI tools.
Please note that you can select Databricks Light only when you create or schedule a JAR, Python, or spark-submit job and attach a cluster to that job; you cannot use Databricks Light to run notebook jobs or interactive workloads.
To use Databricks light:
1. When you create a cluster, select a Databricks Light version from the Version drop-down.
Here is the source I used to provide this information:
- https://docs.databricks.com/runtime/light.html
