Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks

The cloud has become one of the most attractive ways for enterprises to purchase software, but it requires building products in a very different way from traditional software. I will explain some of these challenges based on my experience at Databricks, a startup that provides a data analytics platform as a service on AWS and Azure. Databricks manages millions of VMs per day to run data engineering and machine learning workloads using Apache Spark, TensorFlow, Python and other software for thousands of customers.

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Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.

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