“We aim to connect and resolve the problems of today for India’s households, and this led us to launch a platform that can provide access to information and listen to the needs of a common man."
“Google Cloud offers platform as a service that enables us to free up engineering resources from managing infrastructure so we can focus on scaling the business to serve rapidly growing user demand.”
“We needed to move away from a monolithic, traditional style of development to a microservices-driven, agile way of working. Google Cloud was the obvious choice to achieve that. Microservices are facilitated by the Kubernetes technology that Google originally created. We wanted to use the most up-to-date version without the risk …
“We use a range of Google Cloud services—including Google Kubernetes Engine to orchestrate the containers that automate our application scaling and management—and these provide the ease of use, simplicity, and management that enable our team to focus on our business goals.”
“Overall, we are extremely excited by the potential of Google Cloud to continue building our business domestically in a market of over 3 million warungs.”
"BigQuery is able to integrate seamlessly with our platform, provide unlimited data retention, and excellent search speed, which improves the efficiency of data analysis, crucial for effective machine learning. Cloud AutoML is also excellent because it’s flexible and handles data linkage with ease. It’s a product that even non-engineers can …
“We found Looker to be the most helpful vendor. Looker was on the ball from a customer service point of view. That was the best selling point, having someone available to help us and having that expertise on call.”
"Google Analytics has always been core to everything we do. We wanted to carry out even more advanced research and, after surveying multiple options, we decided to use Google Cloud. It’s proven to be a great decision."
“With Google Kubernetes Engine, we have been able to automate processes to provision new clients so we can do so seven days a week, 24 hours a day, saving ourselves and our clients a considerable amount of time.”
"Our data scientists can then focus on other challenges and needs that will help differentiate our business and reduce our new opportunity costs."
“Not only did we save money on day-to-day costs, we also saved money because we no longer needed to buy additional capacity for the applications that were still running in the data centers.”
“What we find very valuable about Google Cloud is the availability of a lot of valuable services; things like Cloud Data Loss Prevention API that can be composited together with other tools to build really compelling applications, We can use them in a typical way, but we also see a …
“In financial services, data is vital, and we need to analyze it fast to maximize business opportunities. By building our real-time loan scoring engine on Google Cloud Platform and using Google BigQuery to analyze our largest datasets, we’re providing faster service and making smarter lending decisions.”
"You can't have a company building simple, easy-to-use products that itself chooses products that are difficult to use. Building sophisticated architecture is more intuitive with Google. It is easy to use, easy to experiment with, and it gives us the flexibility we need to scale up easily and at speed."
"We are a success story, thanks to Google Cloud credits. They are so important for new startups. We didn't have any funding in the beginning, we started out with nothing. These credits helped us to get started and helped us to prove our worth to investors."
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