
Anomalo
An AI-native data quality platform that automatically detects and resolves data issues across structured, semi-structured, and unstructured data.

Monitor and optimize database performance across multiple platforms with AI-powered anomaly detection and tuning advisors.

SolarWinds Database Performance Analyzer (DPA) is a cross-platform database monitoring and management solution designed for optimizing SQL query performance. It supports various DBMS platforms like SQL Server, Oracle, MySQL, and MariaDB, whether running on-premises or in the cloud (Azure, AWS, Google Cloud). DPA uses an agentless architecture, ensuring minimal resource overhead (less than 1% CPU utilization). The tool provides detailed charts and reports, highlighting key wait-time metrics for single and multiple SQL statements. Its machine learning capabilities enable anomaly detection and forecasting of storage needs. DPA facilitates root cause analysis by correlating database response times with guest OS and infrastructure metrics in virtualized environments. It provides expert tuning advisors to improve DBMS performance and offers centralized performance views across multiple DBMSs in a single platform.
SolarWinds Database Performance Analyzer (DPA) is a cross-platform database monitoring and management solution designed for optimizing SQL query performance.
Explore all tools that specialize in anomaly detection. This domain focus ensures Database Performance Analyzer delivers optimized results for this specific requirement.
Utilizes machine learning algorithms to automatically detect performance anomalies and deviations from baseline behavior.
Analyzes database wait times to pinpoint performance bottlenecks and identify the root cause of slowdowns.
Offers expert recommendations for optimizing database configuration and SQL queries.
Correlates database performance metrics with VM resource utilization to identify virtualization-related issues.
Supports a wide range of database platforms, including Oracle, SQL Server, MySQL, and MariaDB.
Stores historical performance data for trend analysis and capacity planning.
Download and install the Database Performance Analyzer software on a Windows or Linux server.
Configure DPA to connect to the target database instances (Oracle, SQL Server, MySQL, etc.).
Set up monitoring schedules to collect performance data at defined intervals.
Customize dashboards to display key performance metrics and wait-time statistics.
Configure alerts to notify administrators of performance anomalies and potential issues.
Review tuning advisor recommendations and implement performance improvements.
Utilize machine learning features for anomaly detection and capacity planning.
Integrate DPA with other SolarWinds products for comprehensive infrastructure monitoring.
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