Precise for Databases
Database monitoring tools
Monitoring software
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What is Precise for Databases
Precise for Databases is a database performance monitoring product focused on identifying and troubleshooting SQL and database wait-time bottlenecks. It is typically used by DBAs and operations teams to analyze query behavior, lock and wait events, and resource contention across supported database platforms. The product emphasizes deep-dive diagnostics (for example, SQL-level analysis and session activity) rather than broad full-stack observability.
Deep SQL-level diagnostics
The product focuses on database internals such as SQL execution behavior, waits, locks, and session activity. This depth supports root-cause analysis for slow queries and contention issues. For teams primarily responsible for database performance, this can be more actionable than general infrastructure metrics alone.
DBA-oriented troubleshooting workflow
Precise for Databases is designed around common DBA tasks like pinpointing top SQL, identifying blocking sessions, and correlating performance degradation with database events. This aligns well with operational troubleshooting and performance tuning workflows. It can reduce time spent moving between generic monitoring views and database-native tools.
Performance tuning and baselining
Database monitoring tools in this class typically support baselines and historical trending to compare current behavior against normal patterns. This helps teams distinguish transient spikes from sustained regressions. It also supports capacity and performance planning for database workloads.
Narrower than full-stack APM
The product’s primary value is database-centric monitoring and diagnostics rather than end-to-end application tracing across services. Organizations looking for unified observability across infrastructure, applications, and logs may need additional tools. This can increase integration and operational overhead.
Coverage depends on database support
Effectiveness depends on which database engines and versions are supported and how deeply the product can instrument each platform. If an organization runs multiple database types (including managed cloud databases), coverage may be uneven. Teams may need to validate support for specific editions, deployment models, and cloud services.
Potential deployment and tuning effort
Deep database monitoring often requires agents/collectors, permissions, and careful configuration to avoid overhead and ensure accurate data collection. In regulated environments, access controls and data retention requirements can add setup complexity. Ongoing tuning may be needed as workloads and schemas change.
Seller details
Precise Software Solutions (acquired; current owner unclear)
