2956 Google Cloud Platform Testimonials

“These organizations are our customers. Forcing them to change their systems for a one-size-fits-all approach was not an option.”

“Thanks to Google BigQuery and our reporting tools, we’ve found on Twitter that quality news publications do a lot better than they should, relative to market share data accessible from other sources. We can draw conclusions from this about Twitter users wanting to appear knowledgeable to their followers.”

"We only had a few engineers to manage the cloud infrastructure of our services, so we needed a more powerful public cloud platform that enables us to offer quality services with minimal operations resources. Google Cloud provides the tools that meet our business needs the most."

"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 courses."

"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."

"We come to work every day at Travlytix because we want to solve the biggest problem in travel — data. Airlines, online travel agents, and travel ecommerce companies face challenges capturing, processing, and utilizing data to maximize revenue and efficiency. They struggle with fragmented ecosystems, dated technologies, and communicating objectives to multiple vendors and service providers."

"We focused on three aspects: citizenship, technological tools, and committed employees. This path is irreversible and has allowed us to provide more accessible, user-friendly, efficient, and secure responses to our users."