Database Monitoring Tool | Database Performance Monitor

Feature overview

Achieve real-time database monitoring with clear visibility into availability, performance, and resource usage. Leverage AI-powered anomaly detection to establish dynamic baselines and receive proactive alerts before issues impact users. Detect slow queries, lock contention, and resource bottlenecks with accurate, noise-free alerts. Dive deep into technical metrics like the MySQL InnoDB buffer pool size and PostgreSQL dead tuples to pinpoint specific inefficiencies. Correlate query behavior with CPU, memory, and I/O metrics to identify root causes faster. Scale confidently with unified monitoring that adapts to growing database workloads and environments.

End-to-end database monitoring tool

Database monitoring tools give you a panoramic view across SQL, NoSQL, Oracle, and other multi-vendor databases, on-premises, or hybrid setups to ensure high availability. Pinpoint and resolve slow response times, load times, and requests, and achieve a streamlined approach to database management with our AI-powered database monitoring tool.

Auto-discover and visualize metrics to determine database health and availability

Aggregate siloed data into a holistic dashboard and get a complete host-level and query-level overview of all the nodes in your cluster.
Reduce downtime and provide continuous access to the database for optimal application service.
Mitigate failover between the active and passive nodes by arranging a single view for your entire cluster.
Eliminate the pain points and ensure business continuity by tracking database metrics for availability and performance.

Monitor heterogeneous databases from all your hybrid environments in a single console

Correlate and identify issues in your relational and non-relational databases in the cloud as well as on-premises setups by visualizing query statistics in a single pane.
Manage and monitor a diverse array of databases, including relational databases, like Oracle DB, MSSQL, MySQL, PostgreSQL, and SAP HANA, NoSQL databases, like MongoDB and Cassandra, and in-memory databases, like Redis, in a unified console.
Enhance interoperability by understanding unique metrics and KPIs related to each database system for comprehensive visibility.

Analyze and troubleshoot essential query attributes for operational efficiency

Obtain in-depth query insights for each database based on the total time consumed, the wait time for each query, throughput, and errors.
Troubleshoot query execution lags with advanced query insights monitoring. Drill down into execution paths and slow queries that take longer than the configured threshold by managing SQL log data.
Improve query execution times by assessing locks and blocking issues, detecting hotspots, and pinpointing query patterns that hinder your databases' performance.