Cross-platform support for both cloud and on-premises databases. Anomaly detection powered by machine learning gets smarter over time to help you identify the bottlenecks slowing down your applications.
The intuitive interface visualizes every aspect of the system affecting performance: SQL statements, execution plans, blocking, deadlocks, and more. Down-to-the-second data collection with both real-time and historical analysis allows you to pinpoint problems to find the root cause of performance issues.
24/7 cloud-based database health monitoring with customizable dashboards give insights into what matters most. From before and after comparisons to patented adaptive fault detection, developers, DevOps, and DBAs can make sense of performance issues affecting their traditional, open-source, and cloud-native databases. Down-to-the-second data granularity combined with big data analytics correlate query response or behavior to system metrics to understand impacts.