Google Cloud Dataproc

Google Cloud Dataproc is the direct, highly aggressive equivalent to Amazon EMR, built natively for the Google Cloud Platform (GCP). Google literally invented the original MapReduce concept over a decade ago, and Dataproc is their highly refined, fully managed service for running massive open-source data frameworks (Spark, Hadoop, Flink) in the cloud. It is heavily renowned for its blistering startup speed. While spinning up a massive 100-node Hadoop cluster on legacy infrastructure could take hours or days, Dataproc can provision and boot a massive cluster on Google Cloud in under 90 seconds. This allows data science teams to iterate incredibly quickly, spinning up clusters for rapid testing and tearing them down immediately when finished. It integrates flawlessly with Google's massive, world-class AI and analytics ecosystem. A data engineer can use Dataproc to process petabytes of chaotic web data, and then seamlessly pipe the perfectly clean output directly into Google BigQuery (Google's massive data warehouse) for instantaneous SQL reporting, leveraging Google's proprietary global fiber-optic network for the data transfer.