Databricks faces critical strategic decisions…here’s why

With George GilbertWhen Apache Spark became a top level project in 2014, and shortly thereafter burst onto the big data scene, it along with the public cloud disrupted the big data market. Databricks cleverly optimized its tech stack for Spark and took advantage of the cloud to deliver a managed service that has become a leading AI and data platform among data scientists and data engineers. However, emerging customer data requirements and market forces are conspiring in a way that we believe ...