Stream analytics software enables real-time monitoring and analysis of data as it flows between applications or through APIs. These tools allow users to analyze both historical data and live events, providing a comprehensive view of what’s happening at any given moment. Businesses use stream analytics to gain insights into user data activity and monitor various endpoints. Stream analytics is particularly useful for analyzing data transferred between devices, such as Internet of Things (IoT) endpoints like smart cars, industrial machinery, or connected home appliances. Many stream analytics tools include data visualization features to map and display connections between devices. Additional common functionalities include competitive analysis and big data analytics. While there is some overlap between stream analytics and big data analytics tools, the key difference is that big data tools are not specifically designed for real-time analysis, whereas stream analytics focuses on providing immediate, actionable insights from data in motion.