With the emergence of IoT, sensors and mobile applications collect massive amounts of data that determine driver effectiveness, generate real-time supply and demand heat maps, optimize pricing and lead to a better decision-making process.
Case Study – Ride Sharing
iguazio was approached by a leading ride-hailing company to build their next generation data lake. The Uber-like international company offers transportation services to millions of passengers across multiple countries. Up until today, they have used AWS data services, but their substantial expansion and growing demand for real-time insights have led them to seek a platform that better supports scalability, strict security requirements and overall performance.
iguazio provided the customer with unique value by enabling continuous analytics and event-driven applications while eliminating the complexity of its data pipeline. By using the iguazio Continuous Data platform, the company continues to offer new innovative services at a faster time to market.