Database Maintenance Tool for SQL, MySQL, and Other Popular Databases

Perform effective SQL-based database maintenance to improve performance

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Optimize Query Performance

Use Response Time Analysis

See a Unified Dashboard

Get Actionable Advice

Automate Tasks

Optimize SQL query performance with a database maintenance solution

Remediate and optimize Percona databases

One of the most important elements of effective SQL Server and MySQL database maintenance is SQL query tuning. This process involves taking steps to improve the speed and efficiency of SQL queries to help ensure they don’t cause bottlenecks or slowdowns.

With SolarWinds^® Database Performance Analyzer (DPA), you can get help optimizing and tuning SQL queries before bigger issues arise. DPA is designed to help you investigate and identify inefficient queries that could lead to higher I/O, longer wait times, blocking, or resource contention—all of which can interfere with database performance and, in turn, the end-user experience. DPA can let you view query details, including time ran, execution stats, and relevant metrics, you can use to tune your queries and improve overall performance. DPA also makes it easier to label specific SQL statements and exclude long-running SQL statements, as needed.

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Leverage response time analysis to identify anomalies and improve performance

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Use the wait time analysis feature in SolarWinds Database Performance Analyzer to enhance your database optimization. DPA can pull each instance once per second to determine active session performance and alert you to any delays. When a SQL statement wait time increases significantly, you can quickly drill down to find root causes and begin a targeted troubleshooting session.

With DPA, you can also improve SQL and MySQL database maintenance results by correlating query execution delay with end-user impact. Additionally, the tool’s database anomaly detection algorithm is built to alert you to unexpected wait time increases as compared to normal historical data. A trend chart can also help you more easily view changes over time.

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Gain insight into performance changes with a clear, unified dashboard

Support for Percona and other MySQL variants

You can use DPA’s straightforward dashboard to help maintain Windows-specific SQL Server and open-source MySQL, Oracle, DB2, and SAP ASE. This database maintenance software is built to pair easy-to-read bar charts and color-coded graphical displays with in-depth diagnostics, custom alerts, and robust reporting. You can also use the dashboard sharing features to explore query tuning impacts with others in the organization. With the DPA database maintenance tool, your whole team can analyze performance changes across on-premises, virtualized, and cloud environments and leverage the agentless architecture for safe SQL dev, testing, and production.

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Get actionable advice for query tuning and index improvement

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The faster you can tune a problematic query or index, the more you reduce the chances of serious fallout from the issue. SolarWinds Database Performance Analyzer is designed to offer helpful insights based on data analysis you can use to guide your tuning and remediation efforts.

With pinpointed insights, DPA can help you formulate a database maintenance plan to help prevent performance issues. This SQL database maintenance software is built to leverage historical trends and current data to generate SQL Server tuning advice. DPA also runs table tuning analysis at the end of each day and can display table info, inefficient queries, and indexes, so you can more easily catch both minor and widespread performance issues to better prioritize those in need of immediate attention. You can also view problem query details and more easily determine if you should tune the query, add an index or columns, address fragmentation, and more.

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Fully functional for 14 days

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Automate elements of the database maintenance process

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With SolarWinds Database Performance Analyzer, you gain 24/7 monitoring without a 24/7 workload. You can streamline basic database administration tasks and scalability with DPA REST API, saving you time and leaving you free to focus your efforts on the tasks that demand your input. With DPA, you can also set Python or PowerShell scripts to automate key database maintenance tasks.

You can also create alerts to monitor SQL statement execution time and to automatically flag significant changes. DPA is designed to help database admins stay ahead of performance issues, with automatic anomaly detection within database operations based on an artificial intelligence algorithm.

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Get More on Database Maintenance

Do you find yourself asking…

How to maintain a database
Common database tuning best practices
Why do you need to maintain a database?
How can tools help you perform SQL database maintenance?
How can DPA help with SQL and MySQL database maintenance?

Maintaining any database, whether SQL, MySQL, or another type, begins with effective monitoring.

In the database monitoring process, DBAs keep track of key performance metrics, especially the speed of database queries, to help ensure fast performance for end users, whether those users are internal employees or outside customers. For SQL database maintenance and MySQL database maintenance, tracking query details, wait times, and session details are essential parts of the database maintenance plan. By tracking this key data, DBAs are better equipped to identify inefficiencies, slowdowns, outages, and other events that can negatively impact service delivery.

To effectively monitor your database, you’ll first need to identify key performance indicators (KPIs) related to database availability and performance.

The second key element of database maintenance for SQL, MySQL, and other popular relational databases is performance tuning. Performance tuning describes a set of processes and procedures designed to help you make your database queries run as efficiently and quickly as possible.

Whether you’re using a database maintenance tool or attempting to complete the process manually, determining what database statistics and query wait times to monitor is a good place to begin when trying to identify which queries may be underperforming. From there, the basic goals are twofold:

To optimize throughput (the amount of resources used to process a statement)
To reduce response time (the amount of time between a statement and its response)

Database monitoring and database performance tuning are at the center of effective database maintenance. Using a tool to automatically monitor your database and queries can help you improve database performance by offering recommendations for tuning your queries and identifying bottlenecks and long wait times for you.

Database maintenance is essential to maintaining performance. Simply put, without effective database maintenance, performance and end-user experience can suffer. Some of the main reasons why it’s important to have a database maintenance plan include helping you avoid the following:

Poor performance. A slow database can compromise the end-user experience.
Missing diagnostics. Without deep insights, it isn’t clear what’s causing bottlenecks.
Compounding issues. If neglected, fragmentation and other issues can overwhelm a system.

With database maintenance, you can improve a database through tasks like performance tuning and SQL query optimization. An inefficient query can be devastating to both your database server and your application server by causing serious and negative impacts on both customer and employee trust in your organization. Your end users expect fast and reliable service, and database maintenance can be essential to helping you more easily meet those expectations.

Not only can MySQL and SQL database maintenance help you detect, analyze, and solve problems more reliably, it can also help you better understand the relationships between the different resources in your database and server (not just the queries themselves). A database maintenance tool can also give you access to system metrics based on the tool’s analysis of query wait times by giving insight into VMware metrics, database server metrics, and helping you identify deadlock victims and survivors.

A high-functioning database can significantly improve business productivity and profitability. The most obvious reason for this is that database maintenance can help improve efficiency. Data retrieval can be slowed by different factors you can prevent through effective database maintenance. By properly maintaining your database, you can also more easily avoid financial losses due to inefficiencies with your servers.

Another way proper database maintenance can help is by allowing you to improve the experience for end users. A good customer experience is essential if you want to avoid turning away customers and can help strengthen your brand. Your customer-facing websites and applications all retrieve data from your organization’s database. Whenever inefficient indexes or suboptimal queries interfere with your data retrieval speeds, end users can have a slow and frustrating experience, leading to lower customer satisfaction. If you want to maintain high customer satisfaction, good database maintenance is one of the most important tools in your toolbox.

SolarWinds Database Performance Analyzer is built to enable effective database maintenance—whether it’s SQL, MySQL database, and maintenance of other popular databases.

With DPA’s SQL query optimization features, you have the built-in tools you need to target, optimize, and better manage SQL queries. With DPA, you can quickly identify and investigate inefficient queries leading to problems like longer wait times, higher I/O, resource contention, or blocking. Since DPA offers built-in, round-the-clock database monitoring, you can also view both current and historical data, including execution stats, time ran, and other relevant metrics, and use them for directing your tuning efforts.

Database Performance Analyzer is designed to offer thorough response time analysis with the ability to correlate query wait times with end-user impact to better detect anomalies. The tool is built to pull each instance once per second to determine active session performance, then alert you if it detects delays. Whenever a SQL statement experiences a significant increase in wait time, you can use DPA to quickly drill down into the problem and identify its root cause.

By running table tuning analysis at the end of the day every day, Database Performance Analyzer is designed to help you catch both widespread and minor performance issues related to inefficient queries and indexes. By offering visibility into problems of various severities, DPA can also help you more easily determine which problems should be prioritized and which ones can wait. Thanks to DPA’s clear, unified dashboards, you can get visibility into problem query details to help you quickly decide if you should tune the query, add an index or columns, address fragmentation, or take some other action.

Another way DPA helps with database maintenance is by offering DBAs actionable advice they can use to help prioritize performance issues and for next steps. The tool is built to leverage historical trends and current data to generate SQL Server tuning advice. Not only can this advice help you tackle query problems in the short-term, but you can use it to create a database maintenance plan to help prevent future performance issues. With the tool’s automation capabilities, you can focus your attention on the problems that really demand your attention instead of on the basic database administration tasks that typically form an essential, but repetitive, part of effective database maintenance.

Database Performance Analyzer helps ensure you’re always in the know when it detects issues with your queries or indexes through its alerting system. DPA is designed to help you stay ahead of problems, which is why DBAs can easily create alerts to monitor SQL statement execution time and automatically flag significant changes.

Maintaining any database, whether SQL, MySQL, or another type, begins with effective monitoring.
In the database monitoring process, DBAs keep track of key performance metrics, especially the speed of database queries, to help ensure fast performance for end users, whether those users are internal employees or outside customers. For SQL database maintenance and MySQL database maintenance, tracking query details, wait times, and session details are essential parts of the database maintenance plan. By tracking this key data, DBAs are better equipped to identify inefficiencies, slowdowns, outages, and other events that can negatively impact service delivery.
To effectively monitor your database, you’ll first need to identify key performance indicators (KPIs) related to database availability and performance.
The second key element of database maintenance for SQL, MySQL, and other popular relational databases is performance tuning. Performance tuning describes a set of processes and procedures designed to help you make your database queries run as efficiently and quickly as possible.
Whether you’re using a database maintenance tool or attempting to complete the process manually, determining what database statistics and query wait times to monitor is a good place to begin when trying to identify which queries may be underperforming. From there, the basic goals are twofold:
To optimize throughput (the amount of resources used to process a statement)
To reduce response time (the amount of time between a statement and its response)
Database monitoring and database performance tuning are at the center of effective database maintenance. Using a tool to automatically monitor your database and queries can help you improve database performance by offering recommendations for tuning your queries and identifying bottlenecks and long wait times for you.
While there are many best practices to consider for database tuning, the following are some basic principles:
Avoid coding loops. It’s best to stay away from repetition and overloading when you are querying.
Be careful when you create an index. The index is a data structure specifically designed to help with retrieval by letting you select rows more quickly. However, if your index isn’t created carefully, it can lead to bottlenecks that negatively impact performance.
Don’t correlate your subqueries. Subqueries can slow you down because they refer to parent queries and they go row-by-row. If you’re aiming for speed, you need to be strategic at every level of your queries.
Database maintenance is essential to maintaining performance. Simply put, without effective database maintenance, performance and end-user experience can suffer. Some of the main reasons why it’s important to have a database maintenance plan include helping you avoid the following:
Poor performance. A slow database can compromise the end-user experience.
Missing diagnostics. Without deep insights, it isn’t clear what’s causing bottlenecks.
Compounding issues. If neglected, fragmentation and other issues can overwhelm a system.

With database maintenance, you can improve a database through tasks like performance tuning and SQL query optimization. An inefficient query can be devastating to both your database server and your application server by causing serious and negative impacts on both customer and employee trust in your organization. Your end users expect fast and reliable service, and database maintenance can be essential to helping you more easily meet those expectations.
Not only can MySQL and SQL database maintenance help you detect, analyze, and solve problems more reliably, it can also help you better understand the relationships between the different resources in your database and server (not just the queries themselves). A database maintenance tool can also give you access to system metrics based on the tool’s analysis of query wait times by giving insight into VMware metrics, database server metrics, and helping you identify deadlock victims and survivors.
A high-functioning database can significantly improve business productivity and profitability. The most obvious reason for this is that database maintenance can help improve efficiency. Data retrieval can be slowed by different factors you can prevent through effective database maintenance. By properly maintaining your database, you can also more easily avoid financial losses due to inefficiencies with your servers.
Another way proper database maintenance can help is by allowing you to improve the experience for end users. A good customer experience is essential if you want to avoid turning away customers and can help strengthen your brand. Your customer-facing websites and applications all retrieve data from your organization’s database. Whenever inefficient indexes or suboptimal queries interfere with your data retrieval speeds, end users can have a slow and frustrating experience, leading to lower customer satisfaction. If you want to maintain high customer satisfaction, good database maintenance is one of the most important tools in your toolbox.

Optimize query performance with better database maintenance tools

Database Performance Analyzer

Get to the bottom of query performance issues before they affect end users.
Leverage a unified dashboard and actionable advice to get diagnostic clarity and improve performance.
Stay ahead of performance problems with trend analysis and custom alerting.

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Fully functional for 14 days

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