"Google Cloud stood out, for not only providing an impressive range of services that digest data efficiently, but also because it excels at connecting these data services within its platform."
“Fiscal year 2019 was the most successful year in our company’s history. We experienced revenue growth of 30% in the fourth quarter with the launch of our SaaS-based workflow software on Google Cloud.”
"As soon as we make a request to trigger new code through Cloud Build, we can see it being deployed, tested, and instantly reaching users. Google Cloud abstracts all of these tasks away from us. That means we can focus on building the platform rather than maintaining cloud solutions."
“Our engineering team had no capacity to help, and we needed Looker to do it quickly. The POC was fast and well executed. We felt so much support from every aspect of Looker.”
“We were looking for things like performance, scalability, and reliability. If you’re a global operator and want to serve different parts of the world, you have to aspire to a certain level of performance. Google helped us do that.”
"Google Cloud listened to our needs and worked in tandem with our engineering team to address our challenges. The ease of working with their team and their breadth of experience made the decision a no-brainer, laying the foundation for a great partnership."
"We're impressed by all the tools to run our stack, including Windows workloads on Google Cloud. We now worry far less about hosting and we've already seen solid improvements in IT performance such as reliably handling 35 million daily requests while reducing error rates."
“Our review found that Google Cloud provided the best containerization technologies in the market, allowing us to run our applications in a scalable, consistent environment and use Kubeflow to simplify deployment of our deep learning workloads.”
“Automating our machine learning jobs and running learning workloads becomes easier and more cost-efficient with Google Cloud's tools and training.”
"Our decision was based on the need to modernize our own platform to benefit our teams. We also intended to improve scalability and achieve the best standards in the market, so that we could fine-tune our infrastructure and add more value to our business. That's why we chose Google Cloud."
"Applications were migrated when we completed the foundation work on Google Cloud, after verifying it was a secure, stable environment, suitable to receive the workloads. We defined migration waves together with Tembici based on the structure planned for Google Kubernetes Engine, ensuring zero impact on operations."
"Another significant metric was the 40% reduction to the number of days for the negotiation cycle. Before, we needed 25 days from the initial contact to payment confirmation, and now we only need 15 days. Our sales volume has grown by 35% and we are now able to open more …
"Google Cloud Platform services like Cloud Pub/Sub, Cloud Dataflow, and BigQuery allow us to minimize the effort and resources needed to build data pipelines for airline customers and focus instead on the quality, volume, and velocity of data."
"Google Cloud managed services give us more time to strategize our data pipeline architecture and allow us to be less concerned about maintaining the infrastructure."
"Cloud ML Engine enables us to obtain insights from large data volumes in an unbelievably convenient fashion. We use data preparation, model training, and prediction in combination to achieve great results."
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