Database Management Software

Optimize performance with software for database administration

Perform intuitive performance analysis by using a database administration tool

Slow database performance can easily cause slowdowns for end users across an organization. SolarWinds^® Database Performance Analyzer (DPA) is performance monitoring software for relational database management systems to help database administrators (DBAs) easily access query/plan analysis, wait-time analytics, and resource metrics. By making this information available from a centralized, user-friendly dashboard, DPA saves time, delivers results, and gives DBAs the information they need when they need it.

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Dig deeper into multi-dimensional performance analysis with tools for database administration

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With DPA database performance tools, you can further analyze your relational databases, and it’s built to link factors like resource contention and response time giving you more accurate insights into system health. You may also avoid meaningless metrics by using context filters to gain a clearer perspective on the numbers. DPA is also designed to provide developers with a unified view of how SQL statements work in production for a proactive approach having negligible server load.

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Go beyond management with database administration software boasting SQL-specific features

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Not all database monitoring tools address issues specific to MySQL and SQL Server. DPA has SQL-specific analysis features and offers Table Tuning advice to help improve memory usage, optimize SQL queries for enhanced performance, and identify problematic statements. You can also use the SQL database administration tool to address performance issues proactively before they become bottlenecks. These SQL-specific features can help keep your databases running smoothly.

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Improve your database, index, and query tuning with database management software

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Relational databases offer users advanced data storage and management capabilities, but they can be challenging to get right. SolarWinds DPA provides database, index, and query tuning advisors to help database administrators pinpoint inefficient queries, unwieldy tables, and other database errors, slowing operations down for everyone. By making the proper adjustments, it’s possible to get the most out of relational databases while mitigating potential bottlenecks for end users.

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Support multiple databases on multiple platforms from a single tool

DBAs need database monitoring tools to track performance, storage, and usage across several database types, including:

This database management software can help make it easier to get status summaries, check wait times, and monitor other essential database vitals to ensure end users get reliable performance from every asset.

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Get More on Database Administration Tools

Do you find yourself asking…

What is a database management system?
Business benefits of using a DBMS over a file system
What are the types of database management systems?
What are the main features of a database management system?
How does database monitoring work in DPA?
Related Features and Tools

A database management system (DBMS) serves as the bridge between databases and the end users or applications it interacts with, ensuring information is consistently well-organized. A DBMS primarily uses queries to interact with relational databases and is built to consolidate and centralize data, so multiple users from any location can access it.

DBAs use DBMSs to control what data end users see, dictate how end users view the data, and provide multiple views of a single database schema. This means end users and applications don’t have to know where data is located or worry about finding it—the DBMS does the heavy lifting and handles the requests.

While there are many kinds of DBMSs, the most common types are divided into four broad categories—relational, hierarchical, network, and object-oriented:

Relational database management system (RDBMS): The relational structure is the most common and organizes data into logically independent tables. All data is stored in fixed structures and can be manipulated using SQL statements like “select” or “join.” Referential integrity—when data in one table references similar data in another table to show the relationship between them—is critical to relational databases.
Hierarchical database management system (Hierarchical DBMS): The hierarchical structure organizes data into tree-like structures in either a top-down or bottom-up design. The hierarchy is typically defined by a parent-child relationship, in which the parent data can have many different offspring, but the children can only come from one parent. Hierarchical structures can only include one-to-one and one-to-many relationships. Since the data is hierarchical, this type of database gets complicated quickly if any one-to-many relationships are disrupted.
Network database management system (Network DBMS): A network structure is a slightly more complicated version of the hierarchical structure. The network structure allows for many-to-many relationships connecting to one another via a network. For instance, one child can have many parents. In contrast to a hierarchical structure, the network model lets you map highly-intricate relationships and organize your databases more efficiently by building increased relationships between different data types.
Object-oriented database management system (OODBMS): The object-oriented structure breaks a database down into groups of objects which store values and operations/methods. All objects with similar values and operations are grouped together into classes. This structure integrates easily with object-oriented scripting and programming languages like JavaScript, Python, and Delphi. Many programmers prefer using this DBMS type because it offers a cohesive operating environment.

A database management system (DBMS) serves as the bridge between databases and the end users or applications it interacts with, ensuring information is consistently well-organized. A DBMS primarily uses queries to interact with relational databases and is built to consolidate and centralize data, so multiple users from any location can access it.
DBAs use DBMSs to control what data end users see, dictate how end users view the data, and provide multiple views of a single database schema. This means end users and applications don’t have to know where data is located or worry about finding it—the DBMS does the heavy lifting and handles the requests.
The benefits of using a DBMS over a traditional file system in your enterprise include:
Improved operational efficiency: Effective database management makes it easier to convert data into valuable, useable information, which increases day-to-day efficiency.
Improved data safety and security: As more users access an enterprise’s database, the likelihood of a data breach increases drastically. Database management software makes it easier for DBAs to enforce data confidentiality and safety guidelines and control user access.
Improved data integration: Database management tools provide a centralized, integrated view of an enterprise’s data.
Easier data sharing: Similarly, when all data is in one place, it’s easier to share and update data within the enterprise while following proper authorization and data security protocols. These benefits also help DBAs respond more quickly to queries.
Better decision making: With well-managed and well-organized data, DBAs have everything they need to make accurate timeline and data-driven decisions.
While there are many kinds of DBMSs, the most common types are divided into four broad categories—relational, hierarchical, network, and object-oriented:
Relational database management system (RDBMS): The relational structure is the most common and organizes data into logically independent tables. All data is stored in fixed structures and can be manipulated using SQL statements like “select” or “join.” Referential integrity—when data in one table references similar data in another table to show the relationship between them—is critical to relational databases.
Hierarchical database management system (Hierarchical DBMS): The hierarchical structure organizes data into tree-like structures in either a top-down or bottom-up design. The hierarchy is typically defined by a parent-child relationship, in which the parent data can have many different offspring, but the children can only come from one parent. Hierarchical structures can only include one-to-one and one-to-many relationships. Since the data is hierarchical, this type of database gets complicated quickly if any one-to-many relationships are disrupted.
Network database management system (Network DBMS): A network structure is a slightly more complicated version of the hierarchical structure. The network structure allows for many-to-many relationships connecting to one another via a network. For instance, one child can have many parents. In contrast to a hierarchical structure, the network model lets you map highly-intricate relationships and organize your databases more efficiently by building increased relationships between different data types.
Object-oriented database management system (OODBMS): The object-oriented structure breaks a database down into groups of objects which store values and operations/methods. All objects with similar values and operations are grouped together into classes. This structure integrates easily with object-oriented scripting and programming languages like JavaScript, Python, and Delphi. Many programmers prefer using this DBMS type because it offers a cohesive operating environment.
The particular features of each DBMS can vary by vendor, but the best solutions on the market often share the following five features:
The ability to handle large databases: Almost all enterprises today store their data in large databases, so database management software must be able to keep large datasets clean and organized. Database management software can help DBAs accomplish this by enforcing user-defined validation and user-based access roles and permissions.
Low repetition and redundancy: If many different users with admin-level privileges interact with your enterprise’s database, some data duplication will likely occur. Your database management software should have features for reducing data repetition and redundancy, like creating a single repository accessed by multiple users.
Consistent filing: With database management software, DBAs can create their own rules for standardizing data throughout their organization and trust the software will apply them.
Robust security: Security must be top of mind when handling large amounts of sensitive data. Your database management software of choice should only give full access and editing privileges to the DBA or the department head. All other users should be restricted according to their individual access levels. These features help ensure the database remains secure and all data is handled safely.
Support for multi-user environments: A database management solution should allow multiple users to work on data simultaneously while supporting multiple views of the data.
Other SolarWinds tools to help manage and monitor databases:
SQL Sentry^®
Database Performance Monitor (DPM)
Server & Application Monitor(SAM)
Related Features:
Database Anomaly Detection
Database Optimization Tool
Database Performance Tuning
Database Replication Monitoring
Database Locking

“DPA is clearly the best SQL monitoring tool on the market. It can be safely deployed for production systems and the monitoring interface is powerful and easy to use. Other products capture too much data, take too much time to figure out how to understand the results, and are not safe to deploy on production systems.”

Barry Duran

Database Administrator (DBA)

The Nielsen Company

Optimize performance with an effective database administration tool

Database Performance Analyzer

Analyze and resolve performance issues quickly by using database performance monitoring software
Troubleshoot DBMS errors using database administration tools to maintain consistent performance
Manage multiple databases simultaneously from a convenient, centralized dashboard

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