This service suits software engineers who need to detect application anomalies, investigate causes, and fix problems.
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Best Database Performance Monitoring Software 2026
When database performance needs investigation, monitoring tools can help teams examine queries, resources, and database behavior. Compare supported databases and deployment model with query analysis, query plan capture, and wait and lock analysis to see how each option aligns with your environment and diagnostic needs. Resource metrics and history retention are useful points to weigh, too. Check whether a free plan is listed and note the paid starting point when considering access. Site24x7 Database Monitoring, AimBetter, and Percona Monitoring and Management are among the entries. The listed criteria can help you focus on the database platforms and performance signals that matter in your work.
Site24x7 Database Monitoring
It suits teams monitoring supported databases across cloud and on-premises environments, especially those investigating query or resource problems.
AndroidiPhone & iPadWeb+3MySQL
WindowsMacLinux+2Google Cloud SQL
Cloud SQL suits organizations needing managed MySQL, PostgreSQL, or SQL Server databases in the cloud.
WebWindowsMac+2Amazon RDS
Amazon RDS suits teams that want a managed relational database with multiple engine choices.
WebAPISelf-hostedDBmarlin suits teams that need to profile SQL and monitor changes across supported database platforms.
AimBetter is intended for CIOs, IT managers, DevOps teams, support staff, and DBAs working to identify and resolve database performance issues.
PMM may suit teams operating MySQL, PostgreSQL or MongoDB databases across on-premises, cloud or hybrid environments.
It suits teams running PostgreSQL production workloads that need query, index, autovacuum, and alerting tools.
pgwatch suits teams monitoring PostgreSQL, from individual instances to large infrastructures and high-availability or pooled deployments.
dbWatch suits database teams managing multiple supported engines across small businesses, enterprises, or database farms.
It is suited to DBAs, DevOps teams, and application developers managing varied database estates.
It suits database teams responsible for SQL Server across on-premises, virtual, hybrid, and cloud environments.
Spotlight is suited to database professionals managing SQL Server environments who want to diagnose performance issues and improve application service quality.
AI SQL Tuner Studio suits Windows users who work with supported SQL Server databases and want query, wait, lock, or query-plan analysis.