Pick and choose the tools you need
When talking about cloud platforms, we can all agree there’s currently no single tool that fits all business needs. Moving into the cloud is often built around a multi-cloud strategy, so that an enterprise can take advantage of various benefits offered by different platforms. In 2019, many enterprises have a mature multi-cloud environment and are fully aware that using the best tool for the job is fundamental for their success.
We experienced this first-hand on several projects where customers decided to run infrastructure on a different public cloud or on-prem, but opted to offload their data onto Google Cloud Platform (GCP) for analytics workloads. We believe they made this choice because of Google’s innovation rate, its commitment to OSS, and pedigree in solving the biggest data problems at a global scale.
Another differentiator of Google’s network involves its cloud platform offering. For example, look no further than Google’s Jupiter network: It can deliver 1 Petabit/sec of total bisection bandwidth, allowing tools like BQ to efficiently and quickly distribute large workloads. It provides enough bandwidth to enable 100K machines to communicate with any other machine at 10 Gb/s. With pipes as big as these, performing data analytics on GCP becomes so much easier, scalable, and productive.