Databricks was founded in 2013 to bring Apache Spark to the enterprise. Their goal is to unify data science and engineering, which traditionally operate in silos. They have developed two main products to achieve this. Databricks Delta makes data lakes reliable and performant for AI use cases. MLflow unifies the workflows of data scientists and engineers by enabling them to track experiments, build reliable data pipelines, and deploy models into production. Overall, Databricks aims to make AI possible for more organizations by breaking down the barriers between data teams.