What is the main purpose of Azure Databricks?

The main purpose of Azure Databricks is to provide a collaborative workspace for big data analytics. This platform combines the capabilities of Apache Spark with the features of Microsoft Azure, enabling data scientists and engineers to work together seamlessly. It facilitates the exploration and processing of large data volumes through interactive notebooks, which support multiple programming languages, including Python, R, and Scala. The collaborative nature of Azure Databricks accelerates the data analytics process by allowing teams to visualize data, share insights, and iterate on models in real time.

This integration enhances productivity by streamlining workflows for machine learning and data science projects, ensuring that teams can easily collaborate on tasks involving data preparation, model training, and deployment. This focus on collaboration and data analytics sets Azure Databricks apart from other services that might focus on network management or application development.