Google and Databricks are two distinct companies that offer different services in the field of data analytics and cloud computing.

Google, often referred to as Google Cloud or Google Cloud Platform (GCP), is a cloud computing service provided by Google. It offers a wide range of products and services, including computing power, storage, data analytics tools, machine learning, and more. Google Cloud provides infrastructure and platform services that enable businesses to build, deploy, and scale applications and services in the cloud.

Databricks, on the other hand, is a company that provides a unified analytics platform built on Apache Spark. It simplifies the process of building big data and machine learning applications by offering a collaborative environment for data engineers, data scientists, and analysts. Databricks allows users to process large amounts of data, run complex analytics, and build machine learning models using languages like Python, Scala, and SQL.

While both Google and Databricks operate in the realm of data analytics and cloud computing, they offer different solutions and cater to different needs. However, it’s worth noting that Google Cloud Platform can be used to host and run Databricks workloads, allowing users to leverage the power of both platforms together.