Oracle Database Management Tool

Oracle database management requires robust monitoring tools, streamlined maintenance, and performance tuning

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Monitor Oracle database

Test and optimize Oracle code

Simplify and automate maintenance

Automate management tasks with REST API

Pinpoint and fix bottlenecks

Monitor your Oracle database performance in real time

Anomaly Detection Delta Between Actual and Predicted Wait Time

Get valuable information about Oracle database resource use, workload trends, and change visibility with continual monitoring that allows for proactive troubleshooting and database management. The SolarWinds^® Oracle database tools in Database Performance Analyzer (DPA) empower you to track the metrics that matter to your organization with both real-time and historical timelines for Oracle Exadata, Oracle SE (Standard Edition), and Oracle EE (Enterprise Edition) performance.

Database Performance Analyzer for Oracle allows for 24/7 monitoring with less than a 1% load on monitored servers. DPA is installed only on the server, and agentless probes access Oracle and other databases through the network. This software architecture is designed to facilitate safe collaboration across development and production. SolarWinds DPA also includes a web interface and multi-level permissions, designed to make it simple for multiple users to test and view the impact of Oracle code.

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Fully functional for 14 days

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Test and optimize Oracle code across dev and production

When your developers and DBAs share a single environment, code changes can quietly wreck your Oracle performance before anyone notices. DPA’s agentless architecture is built to bridge that gap.

Because DPA is installed only on the monitoring server — with no agents running on the Oracle database itself— dev and production teams engaged in database development can collaborate safely without risk of interference. The web interface and multi-level permissions let developers, quality assurance, and DBAs each view the code’s performance impact from their own dashboards, without stepping on each other’s work.

Getting slow Oracle queries fixed used to mean a DBA digging through execution plans and wait events for hours. AI Query Assist changes that equation for both dev and production teams. When a query’s performance impact stands out in DPA’s Tuning tab, any user with admin privileges can send that query and its execution plan directly to a secure enterprise LLM — with PII automatically masked before anything leaves your environment. The AI returns specific, actionable optimization suggestions for that query, which anyone on the team with read access can then review.

For developers, that means catching expensive queries in pre-production before they become production problems. For DBAs managing live Oracle databases, it means a faster path from spotting a bottleneck to understanding exactly what to fix — without leaving DPA. It’s not a replacement for your team’s expertise, but it can significantly reduce the time to a tuning decision.

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Fully functional for 14 days

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Simplify and automate your Oracle database maintenance

SolarWinds DPA Oracle database management tools help simplify your maintenance workflow with an intuitive, time-saving dashboard. Use baselines and configurable alerts to help ensure consistent Oracle database performance, even as you implement changes. Built-in machine learning tools detect anomalies, and the platform is built to provide targeted workload and index advice.

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Fully functional for 14 days

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Automate management tasks with the DPA REST API

If you’re running SolarWinds DPA at scale, you probably don’t want to manage everything through the UI or GUI. DPA’s REST API lets you securely connect to the DPA server and issue commands programmatically — perfect for plugging database monitoring into your existing DevOps automation routine. API calls can handle common management tasks like registering database instances, stopping and starting monitors, adding annotations, and allocating licenses, saving your team time on repetitive admin work. The API also makes it easy to pull performance data into custom dashboards, third-party tools.

If your team uses the SolarWinds Platform, DPA integrates directly — the Platform server pulls DPA metrics and surfaces database wait times, query activity, and instance health alongside your infrastructure monitoring. End-to-end visibility, without the manual work.

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Fully functional for 14 days

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Pinpoint and fix Oracle performance bottlenecks fast

Top Waits for SQL Intelligent Analysis Statistics

SolarWinds Database Performance Analyzer for Oracle is designed to prioritize and assist with tuning tasks. The Oracle database management software can help identify root causes of bottlenecks, providing diagnoses and recommendations. Address resource-intensive operations and improve performance in real time with DPA.

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Get More on Oracle Database Management

Do you find yourself asking…

What is Oracle database management?
What is involved in managing an Oracle database properly?
How to support an Oracle database with DPA

Designed for enterprise grid computing and safe data storage and retrieval, Oracle Database is a top Relational Database Management System (RDBMS) for many organizations, and it’s important to take steps to manage and optimize its performance.

To improve your Oracle database’s performance, reduce operational costs, stay compliant with regulations, and reduce the risk of data breaches, you’ll need to engage in Oracle database management and SQL tuning. This involves carefully monitoring your Oracle database’s resource consumption and consistently collecting performance metrics to establish baselines. You can then identify the root causes of bottlenecks and make changes to reduce wait time or improve throughput to ensure your application’s end-users have a positive experience.

Another essential part of Oracle database management is prioritizing the right SQL statements. After all, two SQL statements will take the same amount of time and effort to optimize, but one might have a negligible impact on database performance while the other might drastically improve performance. A simple way to discover which queries are inefficient and spend the most time in the database is by monitoring wait time and resource consumption. Once you’ve pinpointed which SQL statements are having the largest impact on Oracle database performance, you can concentrate your efforts in a more meaningful way and avoid wasting time optimizing SQL statements that have little-to-no effect on performance.

Managing your database is critical if you’re using a data center of an Oracle cloud infrastructure (OCI). If you neglect to monitor and manage your Oracle database, you or your application’s users may experience slow, subpar performance, or even outages. On the other hand, taking the time to properly monitor the database and make adjustments accordingly will result in noticeable performance improvements. When you properly manage the database, you’ll be able to more easily locate and eliminate performance bottlenecks, reduce operating costs, and improve application performance for end-users.

When database monitoring, you’ll want to pay attention to:

Database availability: Checking if your database is online at various intervals is an essential part of monitoring and managing Oracle Database. If you don’t regularly check your database availability, your application may go down before you can act. Luckily, many tools will automatically monitor your database and send you an alert any time there’s an outage, so you don’t have to manually perform tedious database availability checks throughout the day.
Resource consumption: Once you’ve assessed database availability, you can check CPU, network, disk, and memory usage. This will give you valuable insights into current and potential performance issues, enabling you to take steps to maintain or resume a high level of performance quickly. Similarly, most tools should alert you of any abnormal network traffic patterns, high CPU usage, lack of disk space, or low memory problems.
Queries: Monitoring query wait times can help you identify the bottlenecks responsible for poor performance. After identifying any expensive or slow-running queries, you can analyze, troubleshoot, and optimize them, effectively debugging performance issues. If the tool you’re using has query analysis or a tuning advisor, make sure to take advantage of those functionalities. You can also review your query execution plan, indexes, database design, filters, and joins.
Throughput: Regularly measuring throughput, or the volume of work flowing through your database, is another crucial element of any management strategy. By having baselines of throughput metrics (such as completed transactions/second or replication latency), you’ll be able to more efficiently identify and investigate deviations in the future.
Database changes: As new versions of applications come out, it’s important to review any resulting database changes. For example, a new version of an application can add, change, or remove tables, functions, views, or other schema objects from your database, which can affect performance. Even one extra index on a table can result in query delays, so you need to keep up with your database changes. You can create a throughput baseline after any change, which will allow you to compare database performance before and after the change, or you can monitor database changes as they’re occurring through logs. Some tools will even alert you if any tables, functions, views, or other database objects are created, altered, or dropped.

SolarWinds^® Database Performance Analyzer (DPA) was designed to make monitoring, analyzing, and managing Oracle database performance easy for database administrators, application developers, and IT managers. Whether your databases or applications are in the cloud or on-premises, DPA can help you save money, free up resources, and reduce response time.

DPA collects data every second and automatically condenses it, so you can view and monitor your database’s health in real time on a 24/7 basis. You can track metrics over time to identify trends and even configure alerts for specific metrics, which will enable you to take action quickly whenever you encounter performance problems. Configuring automatic alerts with DPA is quick thanks to the drag-and-drop customizable email templates.

In just three or four clicks, you can drill down to identify the root causes of bottlenecks and other problems, so you can quickly resolve any performance issues. If you click on a bar, you can view details about your query, including its text, wait time, total wait time for your specified time period, SQL hash, and percentage of total wait time, enabling you to identify which queries are underperforming and helping guide your optimization efforts more effectively.

Similarly, you can drill down to discover if your problem is IO-related by clicking on the storage IO link and clicking on bars to view detailed information about your read/write performance. Plus, since DPA doesn’t use AWR objects, you won’t need to purchase any Oracle Tuning Pack licenses.

To begin monitoring an Oracle database instance with DPA, you’ll first need to register it. However, there are two ways to do this. You can register the Oracle database instance and either create the monitoring user yourself or let DPA create the monitoring user.

If you opt to create the monitoring user yourself, you’ll need to copy a script to a file. Then, you'll need to edit the script to include new username and password values before connecting to the Oracle database as a user using the SYSDBA role and running the script. The first script is performance optimized and creates objects under the SYS schema, while the second won’t and is a reduced-permission option.

You can then complete the registration wizard by clicking on Register DB Instance for Monitoring, Oracle, and I will create the monitoring user manually. After clicking Next, you’ll be able to select your connection method and specify instance options.

If you allow DPA to create the monitoring user, you will need to provide a privileged user’s credentials before completing the registration wizard. Instead of clicking I will create the monitoring user manually, choose DPA will create/configure the monitoring user. Then, enter your connection information, create or specify which account DPA will use to collect information, install a utility package, and give execute permissions to the DPA monitoring user. Finally, choose which tablespace you want to store your monitored instance’s DPA performance data.

Designed for enterprise grid computing and safe data storage and retrieval, Oracle Database is a top Relational Database Management System (RDBMS) for many organizations, and it’s important to take steps to manage and optimize its performance.

To improve your Oracle database’s performance, reduce operational costs, stay compliant with regulations, and reduce the risk of data breaches, you’ll need to engage in Oracle database management and SQL tuning. This involves carefully monitoring your Oracle database’s resource consumption and consistently collecting performance metrics to establish baselines. You can then identify the root causes of bottlenecks and make changes to reduce wait time or improve throughput to ensure your application’s end-users have a positive experience.

Another essential part of Oracle database management is prioritizing the right SQL statements. After all, two SQL statements will take the same amount of time and effort to optimize, but one might have a negligible impact on database performance while the other might drastically improve performance. A simple way to discover which queries are inefficient and spend the most time in the database is by monitoring wait time and resource consumption. Once you’ve pinpointed which SQL statements are having the largest impact on Oracle database performance, you can concentrate your efforts in a more meaningful way and avoid wasting time optimizing SQL statements that have little-to-no effect on performance.
Managing your database is critical if you’re using a data center of an Oracle cloud infrastructure (OCI). If you neglect to monitor and manage your Oracle database, you or your application’s users may experience slow, subpar performance, or even outages. On the other hand, taking the time to properly monitor the database and make adjustments accordingly will result in noticeable performance improvements. When you properly manage the database, you’ll be able to more easily locate and eliminate performance bottlenecks, reduce operating costs, and improve application performance for end-users.

When database monitoring, you’ll want to pay attention to:

Database availability: Checking if your database is online at various intervals is an essential part of monitoring and managing Oracle Database. If you don’t regularly check your database availability, your application may go down before you can act. Luckily, many tools will automatically monitor your database and send you an alert any time there’s an outage, so you don’t have to manually perform tedious database availability checks throughout the day.

Resource consumption: Once you’ve assessed database availability, you can check CPU, network, disk, and memory usage. This will give you valuable insights into current and potential performance issues, enabling you to take steps to maintain or resume a high level of performance quickly. Similarly, most tools should alert you of any abnormal network traffic patterns, high CPU usage, lack of disk space, or low memory problems.

Queries: Monitoring query wait times can help you identify the bottlenecks responsible for poor performance. After identifying any expensive or slow-running queries, you can analyze, troubleshoot, and optimize them, effectively debugging performance issues. If the tool you’re using has query analysis or a tuning advisor, make sure to take advantage of those functionalities. You can also review your query execution plan, indexes, database design, filters, and joins.

Throughput: Regularly measuring throughput, or the volume of work flowing through your database, is another crucial element of any management strategy. By having baselines of throughput metrics (such as completed transactions/second or replication latency), you’ll be able to more efficiently identify and investigate deviations in the future.

Database changes: As new versions of applications come out, it’s important to review any resulting database changes. For example, a new version of an application can add, change, or remove tables, functions, views, or other schema objects from your database, which can affect performance. Even one extra index on a table can result in query delays, so you need to keep up with your database changes. You can create a throughput baseline after any change, which will allow you to compare database performance before and after the change, or you can monitor database changes as they’re occurring through logs. Some tools will even alert you if any tables, functions, views, or other database objects are created, altered, or dropped.