Google differs from other cloud providers in a variety of ways. Below are some highlights. For more complete information, see Why Google?
The Google security model is an end-to-end process, built on over 15 years of experience focused on keeping customers safe on Google applications like Gmail and Google Apps. With Google Cloud Platform your applications and data take advantage of the same security model.
Compute Engine instances are charged in one-minute increments with a ten-minute minimum, so you don't pay for compute minutes that you don't use. Learn more about sub-hour billing.
Google’s big data technology innovations like MapReduce, Bigtable, and Dremel, plus next-generation breakthrough services and frameworks for cloud data warehousing (Google BigQuery), advanced machine learning (Google Cloud Machine Learning), batch and real-time data processing (Google Cloud Dataflow, Google Cloud Pub/Sub, Google Cloud Dataproc), intelligent data preparation (Google Cloud Dataprep) and stunning visual analytics (Google Data Studio) help you transform your business with powerful data insights. Google Cloud big data analytics solutions are serverless and this removes the complexity of building and maintaining a data analytics system, so you can accelerate your time-to-insight.
Google's backbone network has thousands of miles of fiber optic cable, uses advanced software-defined networking, and has edge caching services to deliver fast, consistent and scalable performance. In fact, we even laid our own fiber optic cable under the Pacific Ocean.
Cloud Platform data centers run on half the energy of a typical data center, and in 2017, we will purchase 100% renewable energy to match our consumption for our global operations. Learn more about renewable energy in Google data centers.