Real time analytics

In a record-breaking feat, Dream11's app has taken fan engagement to new heights this year, managing a concurrency of 10.56 million users during the Indian Premier League (IPL). This time of the year, the Dream11 Stadium is nothing short of stepping onto the cricket field itself, and it's all thanks to the extraordinary efforts by our super talented teams of engineers, data scientists, product developers, designers, customer experience and ops experts. But the real magic happens when we dive into the minds of our #Dreamsters. Join us as we unveil their gameplan and insights leading upto India’s biggest sporting event in Indian cricket – the TATA IPL 2023. Get ready to go #BehindTheDream!

The blog covers the importance of real-time data processing in gaining a competitive advantage in various industries. It introduces Streamverse, Dream11's in-house real-time data processing platform and its core primitives: Streams and Operators, and provides a detailed overview of the platform's architecture. It also gives examples of how real-time data processing can improve user engagement, personalisation and real-time analytics, empowering a product to take business critical decisions.

Building batch data analytics platform traditionally is not a new trend. While the industry is moving towards agile and shorter development cycles, scope of building data platform is no more limited to batch processing. Businesses aim for real time updates on-the-go. No one wants to know something that has broken after an hour.