Translytical Databases Are Fueling Modern AI Apps
Forrester, Friday, March 28th, 2025
The growing demand for real-time data to power AI applications is compelling businesses to reevaluate their traditional data architectures.
Legacy systems typically rely on separate platforms for transactional and analytical processing, leading to inefficiencies and delayed insights. Translytical databases are emerging as a critical solution, seamlessly integrating both transactional and analytical workloads into a single, unified platform enabling enterprises to support modern AI-driven applications such as conversational AI, chatbots for customer service, and real-time personalization. The continuous, consistent, real-time data from translytical databases drives the performance and accuracy of AI applications.