Oracle database monitoring is no longer just about checking whether a database is up or down. Modern DBAs need visibility into CPU, memory, I/O, wait events, SQL performance, sessions, storage, blocking, RAC, cloud databases, and increasingly complex hybrid environments.
The good news is that Oracle DBAs have more monitoring options than ever.
From native Oracle tools such as Enterprise Manager, AWR, ASH, ADDM, and Performance Hub to third-party platforms such as SolarWinds Database Performance Analyzer, Quest Foglight, Datadog, and Grafana, there are tools available for almost every environment.
But which Oracle database monitoring tool should you actually use?
This guide compares 10 of the best Oracle database monitoring tools in 2026, focusing on what each tool does well, where it fits, and what DBAs should consider before adopting it.
Editor’s note: This article reflects the Oracle database monitoring landscape as of September 2026. Product features, licensing, and cloud capabilities can change, so always verify current vendor documentation before making purchasing or architecture decisions.
What Is Oracle Database Monitoring?
Oracle database monitoring is the continuous observation of database health, availability, workload, resource consumption, and performance.
A good monitoring solution should help a DBA answer questions such as:
- Is the database available?
- Is CPU utilization increasing?
- Are sessions approaching their limits?
- Which SQL statements are consuming the most database time?
- What are users waiting for?
- Are there blocking sessions?
- Is I/O becoming a bottleneck?
- Are tablespaces running out of space?
- Is a RAC instance experiencing problems?
- Did performance change after a deployment?
- Is a database workload behaving differently from its normal baseline?
Oracle’s own documentation recommends regular database monitoring because understanding normal behavior makes it much easier to identify abnormal behavior.
What Should DBAs Monitor?
Before choosing a monitoring tool, it is important to understand what you actually need to monitor.
A useful Oracle monitoring strategy normally covers at least these areas.
1. Database availability
Monitor:
- Instance status
- Listener status
- Database services
- PDB status
- RAC instance availability
- Connection failures
2. CPU and memory
Track:
- Host CPU
- Database CPU time
- SGA usage
- PGA usage
- Memory pressure
- CPU saturation
3. Sessions and processes
Watch:
- Active sessions
- Session utilization
- Process utilization
- Connection spikes
- Long-running sessions
- Inactive sessions
4. Wait events
Wait events are particularly important because high CPU usage isn’t always the actual cause of a performance problem.
DBAs should understand:
- User I/O
- System I/O
- Concurrency
- Commit waits
- Application waits
- Network waits
- Cluster waits in RAC
5. SQL performance
Monitor:
- Top SQL
- CPU-consuming SQL
- High elapsed-time SQL
- High I/O SQL
- Execution plans
- SQL regressions
- Long-running SQL
- Parallel SQL
6. Storage
Monitor:
- Tablespace usage
- ASM disk groups
- FRA usage
- Datafile growth
- Temp usage
- Filesystem capacity
Oracle Database itself can generate alerts for conditions such as physical reads, user commits, SQL service response time, and tablespace usage.
10 Best Oracle Database Monitoring Tools in 2026
1. Oracle Enterprise Manager Cloud Control
Best for: Enterprise Oracle environments
If you are running a large Oracle environment, Oracle Enterprise Manager Cloud Control remains one of the most important monitoring platforms to know.
Oracle describes Enterprise Manager as a comprehensive platform for monitoring, managing, diagnosing, and optimizing IT environments.
Enterprise Manager can monitor databases as well as the infrastructure around them, including hosts, operating systems, storage, and application components.
Key capabilities
- Database health monitoring
- Performance monitoring
- Tablespace monitoring
- Session monitoring
- SQL monitoring
- RAC monitoring
- Host monitoring
- Alerting
- Notifications
- Dashboards
- Corrective actions
- Fleet monitoring
- Job automation
Oracle’s current enterprise monitoring capabilities include more than 500 Oracle Database metrics, with database fleet views, performance hotspots, incidents, active sessions, resource usage, and long-running SQL visibility.
Enterprise Manager also supports thresholds and automated alerts. When a monitored metric crosses a configured threshold, Enterprise Manager can generate an event and notify administrators.
Why DBAs like it
The biggest advantage is Oracle-specific depth.
You aren’t simply monitoring a generic application called “Oracle.” Enterprise Manager understands Oracle databases, RAC, ASM, listeners, Data Guard, and many other Oracle components.
Best for
- Large enterprises
- Oracle-heavy organizations
- RAC environments
- Exadata environments
- Centralized DBA teams
- Organizations managing many Oracle databases
Consideration
Enterprise Manager can be more complex to deploy and operate than lightweight monitoring platforms.
2. Oracle AWR, ASH and ADDM
Best for: Deep Oracle performance troubleshooting
AWR, ASH, and ADDM aren’t traditional monitoring products with a dashboard and agent. They are native Oracle performance-management capabilities and are among the most important tools in an Oracle DBA’s toolkit.
AWR — Automatic Workload Repository
AWR collects and stores performance statistics that can be used for problem detection and performance analysis.
An AWR report can show:
- Database workload
- CPU usage
- SQL statistics
- Wait events
- Time model statistics
- Segment statistics
- Instance statistics
- Historical performance information
Oracle’s 26ai documentation states that AWR collects and maintains performance statistics for problem detection and self-tuning.
ASH — Active Session History
ASH focuses on active sessions.
It is extremely useful when the problem was:
“The database was slow for 10 minutes yesterday, but everything is fine now.”
ASH allows the DBA to investigate what active sessions were doing during that period.
It can analyze dimensions such as:
- Wait class
- Wait event
- Instance
- Service
- Module
- Action
- User session
- SQL ID
ADDM — Automatic Database Diagnostic Monitor
ADDM analyzes AWR data and attempts to identify the root causes of performance problems.
Oracle describes ADDM as a tool that analyzes AWR data, identifies performance problems, and provides recommendations.
Why DBAs like it
This combination is essential for post-incident analysis and performance troubleshooting.
Best for
- Performance investigations
- Production incidents
- Historical analysis
- SQL performance analysis
- RAC troubleshooting
- Root-cause analysis
Important licensing note
Some Oracle performance-management capabilities, including AWR, ASH, ADDM, and SQL Tuning Advisor, are associated with Oracle Diagnostics Pack and/or Tuning Pack licensing. Always verify the licensing applicable to your Oracle edition and deployment before enabling or using licensed features.
3. Oracle Performance Hub
Best for: Visual Oracle performance analysis
Performance Hub provides a more visual way to analyze Oracle database performance.
It combines real-time and historical performance information and provides views for:
- Active Session History
- SQL Monitoring
- Workload
- Wait events
- Database activity
- Resource consumption
Oracle’s current documentation describes Performance Hub as a tool for monitoring database activity, diagnosing issues, and tuning queries.
One particularly useful feature is the ability to move through a time range and investigate what was happening during a performance incident.
For example:
“Users reported that the application was slow between 14:10 and 14:25.”
A DBA can focus Performance Hub on that window and investigate active sessions, wait classes, SQL, and resource consumption.
SQL Monitoring
Performance Hub can also display monitored SQL executions and dimensions such as:
- CPU time
- Database time
- Duration
- SQL ID
- Status
Best for
- Performance troubleshooting
- SQL analysis
- Incident investigation
- DBAs who prefer graphical analysis
4. Oracle SQL Developer and Database Actions
Best for: DBAs who want a practical Oracle-native interface
Oracle SQL Developer remains a useful tool for Oracle DBAs who want database administration and monitoring capabilities without deploying a large monitoring platform.
Modern Oracle tooling also includes browser-based Database Actions / SQL Developer Web capabilities.
Depending on the environment, DBAs can access information such as:
- Database status
- Sessions
- Alerts
- Tablespaces
- Wait events
- Top SQL
- Performance information
- AWR
- ASH
- SQL monitoring
Oracle’s Database Actions monitoring pages include Performance Hub, alerts, sessions, storage, parameters, database dashboards, and AWR.
SQL Developer for VS Code also provides AWR and ASH performance reports.
Why it is useful
For a DBA working directly with a database, you often don’t need a massive monitoring platform.
Sometimes you simply need:
Connect
↓
Check sessions
↓
Check waits
↓
Check Top SQL
↓
Check execution plan
↓
InvestigateSQL Developer fits that workflow well.
Best for
- Individual DBAs
- Development environments
- Test environments
- Smaller Oracle estates
- Ad-hoc troubleshooting
5. SolarWinds Database Performance Analyzer
Best for: Cross-platform database performance monitoring
SolarWinds Database Performance Analyzer (DPA) is designed specifically around database performance analysis.
For Oracle environments, SolarWinds highlights:
- Real-time performance monitoring
- Historical performance analysis
- Resource usage
- Workload trends
- Wait-time analysis
- Bottleneck identification
- Exadata monitoring
SolarWinds currently positions DPA for Oracle Exadata as well as Oracle Standard Edition and Enterprise Edition environments.
One of DPA’s strengths is its ability to help DBAs move from:
“The database is slow.”
to:
“This workload is spending most of its database time waiting on this particular resource.”
That distinction is critical for effective troubleshooting.
Best for
- Multi-database environments
- Performance-focused DBA teams
- Organizations wanting third-party monitoring
- Oracle + SQL Server + other database environments
Consideration
It is a commercial product, so licensing and deployment costs need to be evaluated against your monitoring requirements.
6. Quest Foglight for Databases
Best for: Large heterogeneous database environments
Quest Foglight is another established enterprise database monitoring platform.
Its advantage is that it isn’t limited to Oracle.
Organizations with environments containing multiple database technologies can use Foglight to provide a broader monitoring layer.
Foglight also received a major update in 2026 with Foglight AI Insights, which Quest describes as a conversational AI capability designed to help DBAs investigate alerts, SQL performance, and operational issues.
Useful capabilities
- Database monitoring
- Performance analysis
- SQL performance
- Infrastructure visibility
- Alerting
- Cross-platform monitoring
- Root-cause analysis
- AI-assisted investigation
Best for
- Large enterprises
- Multi-database environments
- Centralized operations teams
- Organizations already using Quest products
Consideration
The platform can be more complex than lightweight monitoring solutions, particularly for smaller teams.
7. Datadog Database Monitoring
Best for: Cloud-native observability
Datadog is interesting because it approaches Oracle monitoring from a broader observability perspective.
Instead of looking only at the database, you can correlate database information with infrastructure and application telemetry.
Datadog’s Oracle integration provides near-real-time health and performance metrics, while Database Monitoring adds capabilities such as:
- Query-level metrics
- Query snapshots
- Wait-event analysis
- Database load
- Explain plans
- Blocking query insights
This is particularly useful when the DBA needs to answer:
“Is the database actually the problem, or is the application causing the database problem?”
Example
Imagine an application request takes 8 seconds.
With traditional database monitoring, you might investigate the database.
With an observability platform, you can potentially follow the request across:
User Request
↓
Application
↓
API
↓
Database Call
↓
Oracle SQL
↓
Wait EventThat broader visibility is increasingly important in modern distributed systems.
Best for
- Cloud-native organizations
- DevOps/SRE teams
- Application + database monitoring
- Hybrid environments
- Organizations already using Datadog
8. Grafana Cloud + OracleDB Integration
Best for: Custom dashboards and open observability
Grafana is an excellent option when your organization wants flexible dashboards and an observability platform rather than a database-specific console.
Grafana Cloud’s OracleDB integration can collect Oracle metrics and alert logs using Grafana Alloy.
The integration includes metrics covering areas such as:
- Sessions
- Processes
- Tablespaces
- Database wait times
- Resource utilization
- Alert logs
It also provides pre-built dashboards and alerts.
For example, the current integration includes alerts for:
- Session utilization
- Process utilization
- Tablespace capacity
Why DBAs may like Grafana
The real power is customization.
You can build a dashboard such as:
┌──────────────────────────────────────────┐
│ ORACLE DATABASE PRODUCTION │
├────────────┬────────────┬────────────────┤
│ CPU │ Sessions │ Tablespace │
│ 62% │ 740/1000 │ 78% │
├────────────┴────────────┴────────────────┤
│ Top Wait Events │
│ db file sequential read │
│ log file sync │
│ CPU │
├──────────────────────────────────────────┤
│ Top SQL │
│ SQL_ID CPU Elapsed │
│ abc123 42% 18m │
└──────────────────────────────────────────┘Best for
- DevOps teams
- SRE teams
- Custom dashboards
- Hybrid infrastructure
- Organizations already using Prometheus/Grafana
9. Oracle Cloud Infrastructure Database Management
Best for: Oracle Cloud and hybrid Oracle environments
If your Oracle databases are running in OCI, OCI Database Management deserves serious consideration.
Oracle describes Database Management as a unified console for:
- Monitoring
- Performance management
- Tuning
- Administration
It can provide fleet-level visibility across Oracle databases.
The fleet monitoring capabilities can show:
- Database inventory
- Monitoring status
- CPU utilization
- Storage utilization
- Alarms
- Database types
- RAC environments
- Database versions
- Deployment types
One particularly useful capability is comparing database metrics over different time periods.
For example:
Current week vs previous week
or
Today vs the same time yesterday.
That can make capacity and performance trends easier to identify.
Best for
- OCI environments
- Oracle Cloud databases
- Exadata Cloud
- Hybrid Oracle environments
- Large Oracle fleets
10. Custom Prometheus + Oracle Exporter + Grafana
Best for: Teams that want maximum control
For organizations with strong DevOps or observability skills, building an Oracle monitoring stack around Prometheus and Grafana can be extremely powerful.
The basic architecture looks like:
Oracle Database
│
▼
Oracle Exporter
│
▼
Prometheus / Alloy
│
▼
Grafana
│
├── Dashboards
├── Alerts
└── Historical MetricsThis approach allows DBAs and platform teams to define their own metrics.
For example:
Oracle
├── Sessions
├── Processes
├── Tablespaces
├── Wait Events
├── CPU
├── I/O
├── ASM
├── Blocking Sessions
└── Custom DBA MetricsGrafana’s current OracleDB integration uses an Oracle Database metrics exporter integrated with Grafana Alloy, demonstrating how Oracle metrics can be brought into a Prometheus-style observability stack.
Best for
- DevOps teams
- SRE teams
- Large engineering organizations
- Custom monitoring requirements
- Organizations already running Prometheus/Grafana
Consideration
This approach requires more engineering effort than buying a database monitoring platform.
Oracle Database Monitoring Tools Compared
| Tool | Best For | Oracle Depth | Multi-DB | Dashboards | Historical Analysis |
|---|---|---|---|---|---|
| Enterprise Manager | Enterprise Oracle | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| AWR / ASH / ADDM | Deep troubleshooting | ⭐⭐⭐⭐⭐ | ❌ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Performance Hub | Performance analysis | ⭐⭐⭐⭐⭐ | ❌ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| SQL Developer | DBA administration | ⭐⭐⭐⭐⭐ | ❌ | ⭐⭐⭐ | ⭐⭐⭐ |
| SolarWinds DPA | DB performance | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Quest Foglight | Enterprise monitoring | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
| Datadog DBM | Observability | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Grafana Cloud | Custom observability | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| OCI Database Management | OCI Oracle | ⭐⭐⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Prometheus + Grafana | Custom monitoring | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ |
The ratings above are practical DBA-oriented comparisons rather than vendor benchmarks.
Which Oracle Database Monitoring Tool Should You Choose?
There isn’t one monitoring tool that is perfect for every Oracle environment.
Your choice should depend on your infrastructure.
If you are an Oracle-only enterprise
Start with:
Enterprise Manager + AWR/ASH/ADDM
This gives you deep Oracle-specific visibility and strong troubleshooting capabilities.
If you manage Oracle databases in OCI
Consider:
OCI Database Management + Enterprise Manager
OCI Database Management provides fleet and cloud visibility, while Enterprise Manager can provide deeper Oracle-centric management depending on your architecture.
If you have Oracle + SQL Server + PostgreSQL
Consider:
SolarWinds DPA, Quest Foglight, or Datadog
A cross-platform monitoring platform can reduce the number of separate dashboards your operations team has to maintain.
If you already use Grafana
Consider:
Grafana Cloud / Grafana + OracleDB integration
There is little reason to introduce another visualization platform if your organization already has Grafana and Prometheus-style monitoring infrastructure.
If you are a DBA troubleshooting a performance incident
Start with:
Performance Hub → ASH → AWR → ADDM → SQL Monitor
This workflow can take you from:
“Users say the database is slow”
to:
“These sessions were waiting on this resource, and this SQL was responsible for the majority of database time.”
Oracle’s Real-Time SQL Monitoring can provide execution-level information for expensive SQL and parallel statements, including elapsed time, CPU time, reads, writes, and I/O wait information.
A Practical Oracle Monitoring Strategy for DBAs
A monitoring tool is only useful if you know what to alert on.
A practical production monitoring strategy could look like this:
Level 1 — Availability
Alert when:
- Database is down
- Listener is down
- PDB unexpectedly closed
- RAC instance is down
- Critical service is unavailable
Level 2 — Capacity
Alert when:
- Tablespace approaches capacity
- FRA approaches capacity
- ASM disk group reaches a threshold
- Filesystem space is low
- Sessions approach the limit
- Processes approach the limit
Level 3 — Performance
Monitor:
- CPU
- Database time
- Average active sessions
- I/O latency
- Wait events
- Log file sync
- Enqueue waits
- User I/O
- Cluster waits
Level 4 — SQL
Track:
- Top CPU SQL
- Top elapsed SQL
- Top I/O SQL
- SQL regressions
- Long-running SQL
- Parallel SQL
- Blocking SQL
Level 5 — Trend Analysis
Don’t only ask:
“Is the database healthy right now?”
Also ask:
“Is the database becoming less healthy over time?”
For example:
January CPU: 42%
February CPU: 48%
March CPU: 57%
April CPU: 64%
May CPU: 71%No individual day may have generated a critical alert.
But the trend tells you that capacity planning is becoming necessary.
Monitoring Is Not the Same as Troubleshooting
This is one of the most important distinctions for DBAs.
A monitoring system might tell you:
CPU = 95%
That’s useful information.
But it doesn’t necessarily tell you why.
The real investigation might reveal:
CPU 95%
↓
High database CPU
↓
Top SQL
↓
SQL_ID abc123
↓
Execution plan changed
↓
Full table scan
↓
Statistics became staleThe best Oracle DBAs therefore don’t stop at monitoring.
They use monitoring as the starting point for diagnosis.
Oracle’s Performance Hub, AWR, ASH, ADDM, and SQL Monitoring capabilities are designed to provide progressively deeper performance information.
Final Thoughts
In 2026, Oracle DBAs have an unusually broad range of database monitoring options.
There is no single “best Oracle database monitoring tool.”
The right choice depends on what you are trying to solve.
For Oracle-centric enterprise environments, Oracle Enterprise Manager remains one of the strongest choices.
For deep performance troubleshooting, AWR, ASH, ADDM, Performance Hub, and Real-Time SQL Monitoring are essential tools to understand.
For multi-database environments, platforms such as SolarWinds DPA and Quest Foglight can provide broader coverage.
For cloud-native observability, Datadog and Grafana are compelling options.
And for organizations running Oracle in OCI, OCI Database Management provides increasingly capable fleet-level monitoring and management.
The most important lesson, however, is this:
A monitoring tool should not simply tell a DBA that something is wrong. It should help the DBA understand why it is wrong.
That is where good Oracle monitoring becomes valuable.
The best monitoring strategy combines availability monitoring, resource monitoring, wait-event analysis, SQL monitoring, historical performance data, alerting, and trend analysis.
Because ultimately, the goal isn’t to collect more metrics.
The goal is to detect problems earlier, troubleshoot them faster, and keep the database available for the business.
