What downside might Databricks present if not properly managed?

Databricks can become expensive if not properly managed due to its pricing model, which is based on the usage of resources such as computing power and storage. If users leave clusters running longer than necessary or over-provision resources, costs can escalate quickly. Additionally, running multiple workloads that require significant resources may lead to budget overruns. Efficient management practices, such as optimizing cluster usage, can help mitigate these costs.

Proper resource allocation, automation of cluster management, and scheduling can ensure that users only incur costs for the resources they actually need. By monitoring usage and implementing best practices, organizations can take full advantage of Databricks' capabilities while controlling expenses. Thus, effective management is crucial to leveraging Databricks economically.