Database Optimization Tool and Techniques
Gain alerts, analytics, and advice for database optimization
Optimize database query and index performance
Experienced DBAs know a prevalent source of database performance issues is poorly written queries and inefficient indexes. For DBAs in need of quick and efficient tuning, an automated database optimization tool can be a game changer.
SolarWinds® Database Performance Analyzer (DPA) offers response time monitoring for rapid analysis of SQL statements to help you identify the root cause of performance problems and provide reliable tuning advice for your SQL database.
Fix queries running in production by using database optimization tools
In traditional database analysis, application performance is often put off until the deployment phase, which can be too late. Fast access to query performance on production servers incorporates application performance in the development cycles, so you can more easily optimize database performance.
Database Performance Analyzer is built to monitor development, test, and production servers with less than a 1% load. With the DPA dashboard, DBAs can more easily visualize the production database to understand how code is performing.
Improve resource provisioning for database performance optimization
With performance optimization database tools, you can better avoid extraneous hardware costs. Database Performance Analyzer can help align resource provisioning with performance, giving users the database optimization techniques to help avoid unnecessary hardware recommendations.
DPA is also built to collate SQL statement data around the clock and can help rank priorities based on response time. It also offers guidance on ways to improve database performance — which often doesn’t involve purchasing new hardware.
Automate database monitoring with DPA REST API
Database Performance Analyzer is designed to use DPA REST API to automate database optimization through each step of your monitoring, troubleshooting, and resolution process. DPA REST API can offer real-time analysis of your holistic database structure based on an analysis of wait times. Because it uses agentless architecture, DPA REST API doesn’t require additional agent installations for individual nodes. DPA REST API can allow for licenses and registration on SQL Server, MySQL, Azure SQL, and more.
Find SQL queries
Speed up troubleshooting efforts or accelerate mean time to innocence by narrowing down query performance analysis. DPA allows you to search for specific SQL queries using the application name, user, and host as well as portions of SQL statements such as table or column names. You can then troubleshoot the root cause by viewing wait time details, executions, and other key performance metrics. Having this information available allows you to narrow your focus to diagnose performance problems associated with a particular time frame, user, or application, resulting in faster resolution.
Get More on Database Optimization
Do you find yourself asking…
Database optimization is based on a thorough understanding of your query functionality. In database performance optimization, application performance and database efficiency are understood through the lens of query wait times. To improve expensive queries, DBAs typically use a variety of manual methods to fix the details of your query or to rearrange the structure of the index itself.
For a large network with complex database operations, however, manual database optimization can be subject to inefficiency and human error. Automated database optimization techniques are built to add precision and speed to your query revisions. As any DBA knows, efficiently correcting expensive queries can drastically improve functionality for both your application server and your database server.
With automated database optimization, you can monitor performance issues, get alerts based on automated wait time analysis, and use machine learning to help automate troubleshooting. Automating your database optimization techniques ultimately allows you to proactively tune inefficient queries and identify trends that will let your database run smoothly.
Database optimization is based on a thorough understanding of your query functionality. In database performance optimization, application performance and database efficiency are understood through the lens of query wait times. To improve expensive queries, DBAs typically use a variety of manual methods to fix the details of your query or to rearrange the structure of the index itself.
For a large network with complex database operations, however, manual database optimization can be subject to inefficiency and human error. Automated database optimization techniques are built to add precision and speed to your query revisions. As any DBA knows, efficiently correcting expensive queries can drastically improve functionality for both your application server and your database server.
With automated database optimization, you can monitor performance issues, get alerts based on automated wait time analysis, and use machine learning to help automate troubleshooting. Automating your database optimization techniques ultimately allows you to proactively tune inefficient queries and identify trends that will let your database run smoothly.
Leverage in-depth analytics for intuitive database optimization
Database Performance Analyzer
- Monitor query wait times for SQL-specific database efficiency troubleshooting.
- Receive real-time alerts on unusual wait times and expensive queries for rapid response.
- Visualize your holistic database metrics, including dependencies and geographic configuration.