Battle Over Migrations, Multi-Cloud
Customers choose our open cloud infrastructure for three main reasons. First, we make your path to migrate and modernize using cloud easy with migration tools, new serverless and container capabilities and managed services as your developers spend more time building experiences that your customers love.
Second, we offer transformative capabilities with cutting-edge performance and security. Our network offers three times the throughput of other cloud providers.
Third, we remain and were the very first and only cloud provider with a clear multi-cloud strategy. We provide you with a consistent developer experience, built on open source, to write once and deploy anywhere.
Many customers, like Plaid, a financial services leader, use Anthos to deploy, operate and manage applications across multiple clouds. Recently, we introduced Anthos for virtual machines, standardizing the way that you manage applications across both virtual machines and containers.
For multi-cloud data, BigQuery Omni lets customers analyze data across Google Cloud, AWS and Azure. With it, Johnson & Johnson, for instance, was able to combine data in Google Cloud and AWS S3 [Amazon Simple Storage Service] using BigQuery Omni without needing to migrate data.
Customers also want to expand where they use Google Cloud, whether in their private data centers or out on the edge. For instance, some workloads cannot move to the public cloud entirely due to the need for large amounts of local data processing, extremely low latency or strict regulations. To solve these challenges, we‘re announcing today Google Distributed Cloud, a portfolio of hardware and software solutions that extend our infrastructure to the edge and even into your own data center.