Translytical platforms are next-generation data platforms that support multiple data types and data models, designed to handle transactional, operational, and analytical workloads without sacrificing data integrity, performance, and analytics scale. These platforms combine memory-enabled capabilities, multi-model structures, scale-out architecture, AI/ML built-in components, zero administration, and tiered data storage. As more companies adopt translytical platforms, they are expected to deliver benefits such as support for real-time analytics, one platform to support multiple workloads, accelerated development for new analytical applications, lower costs, fewer administrative requirements, and greater business agility and competitive advantage. Translytical platforms have various use cases across industries like financial services, IoT analytics, insurance, manufacturing, and retail, including real-time applications, customer-focused outcomes, and IoT-focused applications.