Databricks

Databricks was founded by the original creators of Apache Spark. They realized that while Spark was an incredibly powerful open-source engine, deploying and managing a massive Spark cluster on AWS or Azure was an absolute nightmare that required a team of expensive DevOps engineers. Databricks provides Spark as a fully managed, incredibly elegant SaaS platform. It is universally famous for its "Collaborative Notebooks." A data scientist, a data engineer, and a business analyst can all log into the exact same web-based Databricks notebook simultaneously. The data engineer can write Scala code to ingest the raw data, the data scientist can write Python code in the very next cell to train an AI model, and the analyst can write a SQL query at the bottom to build a dashboard, all in the same document. They also literally invented the concept of the "Data Lakehouse." Historically, companies had a cheap, messy "Data Lake" (for raw files) and an expensive, structured "Data Warehouse" (for clean reporting). Databricks built "Delta Lake," a technology that brings the high-performance structure and reliability of a Warehouse directly to the cheap, massive storage of a Data Lake, completely unifying the enterprise data stack.