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Database Performance Analyzer

MariaDB Performance Monitoring and Tuning Tool

Pinpoint problems to find the root cause of performance issues with the robust MariaDB monitoring tool

Download Free TrialEmail Link to Trial
Fully functional for 14 days
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Pinpoint MariaDB Bottlenecks
Catch MariaDB Anomalies Faster
Tune MariaDB Queries with Query-Level Insight
Monitor MariaDB Securely
Monitor Multiple Databases

Pinpoint MariaDB Bottlenecks Before They Hit Your Users

MySQL 8.4 SQL wait anomaly trend

SolarWinds® Database Performance Analyzer (DPA) is designed to help you identify and resolve MariaDB performance issues faster.

Unlike monitoring tools that only examine server health metrics, SolarWinds DPA is built to collect wait event data directly from your MariaDB instance every second — agentless, via JDBC — breaking down exactly where queries spend their time across I/O, locks, network, and other wait categories.

This can help you quickly pinpoint which specific queries and wait types are slowing down your database, making it easier to focus your tuning efforts where they'll have the most impact.

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Fully functional for 14 days
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Catch MariaDB Anomalies Faster with Machine Learning

MySQL 5.6 wait states timeslice breakdown

Take the guesswork out of finding performance issues. Anomaly detection powered by machine learning is a breakthrough for database performance management, as it visually shows the DBA what queries are running abnormally slow.

Troubleshoot your MariaDB instances effectively using an anomaly detection tool designed to alert you to significant behavioral changes. DPA leverages historical polled data to detect wait behavior patterns automatically and is designed to get smarter over time.

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Fully functional for 14 days
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Tune MariaDB Queries with Actionable, Query-Level Insight

MySQL 5.6 hourly wait states anomaly

Gain alerts, analytics, and advice for optimizing MariaDB databases, as SolarWinds DPA employs proprietary algorithms providing a rich analysis of top queries. DPA will identify potentially harmful aspects of a query’s execution and recent variations in performance relative to historical patterns.

Investigate specific queries, including what type of waits were responsible for significant wait time, whether the statement was blocked by other sessions, and other supporting data. DPA tuning advisors point to problems in need of immediate attention and provide clear, actionable tuning advice.

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Fully functional for 14 days
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Monitor MariaDB Securely with Least-Privilege Access Controls

MySQL query advisor row ratio analysis

Your monitoring tool touches query text, execution plans, and wait data—information you’d never expose carelessly in production. DPA is designed to work with a dedicated, read-only MariaDB monitoring account, so you get full performance visibility without handing over admin-level access to your database.

Connections between SolarWinds DPA and your MariaDB instances are encrypted, and role-based access controls help ensure only the right people can see sensitive dashboard data. It’s monitoring that fits inside your security policies—not one that asks you to bend them.

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Fully functional for 14 days
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Monitor MariaDB alongside MySQL and Percona MySQL from a single platform

MySQL 5.6 hourly SQL statements anomaly

SolarWinds® Database Performance Analyzer (DPA) is built to monitor MariaDB, MySQL, and Percona MySQL — and their cloud variants — from a single platform. Whether your databases run on-premises or in the cloud on Amazon RDS for MySQL or MariaDB, Amazon Aurora MySQL-compatible, Azure Database for MySQL or MariaDB, or Google Cloud SQL for MySQL, DPA is designed to give you consistent wait-based performance visibility across all of them. This can help you stop managing separate monitoring tools for each database type and focus on resolving performance issues instead.

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Fully functional for 14 days
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Get More on MariaDB Monitoring

Do you find yourself asking…

  • What’s the difference between MySQL and MariaDB?
  • What is a MariaDB monitor?
  • Why is MariaDB monitoring important?
  • What are the most important MariaDB metrics to watch?
  • How to monitor MariaDB replication status?
  • What are the best practices for monitoring MariaDB performance?
  • How to choose the right MariaDB monitoring tool?
  • How to use DPA to fix MariaDB performance problems?
View More Features

MariaDB is almost identical to MySQL, with a few key differences. MariaDB is an open-source fork of the MySQL database, created in 2009 by some of the engineers behind MySQL. As a fork, MariaDB contains the same source code as MySQL, which is now closed-source.

Initially, there was no practical difference between MariaDB and MySQL—with a new set of founders, MariaDB could replicate MySQL in an open-source format without legal repercussions. Since its founding, however, MariaDB has evolved away from its origins with revisions.

Many IT admins prefer MariaDB to MySQL because of its operating efficiency, large number of contributors, and bug fixes constantly improving its database capabilities. MariaDB is also highly compatible with MySQL, with features such as file formats, protocols, and more.

A MariaDB monitor is a tool that continuously tracks the health, performance, and behavior of your MariaDB database instances. Think of it as your eyes on the database when you’re not actively watching—which, realistically, is most of the time. An effective MariaDB monitor tracks key metrics, including query execution times, wait events, connection counts, cache hit ratios, replication lag, and resource usage. If any issues arise, it alerts you before your end users are affected.

SolarWinds DPA goes beyond basic MariaDB monitoring by correlating database activity with application requests and system metrics—so you’re not just seeing that something is slow, you’re understanding why and where to fix it.

IT admins often use MariaDB as a faster, more transparent database solution compared to related databases. While MariaDB offers efficiency in data retrieval, there are still plenty of ways your database can experience performance bottlenecks. MariaDB performance monitoring allows you to detect database anomalies with automated monitoring tools to reduce downtime and improve your operations.

Detecting MariaDB performance issues is essential in streamlining your database operations—but it’s also crucial in identifying potentially serious threats to your database server. Slow retrieval times and performance anomalies could indicate a security compromise that could cost your company everything. With a Maria DB monitoring tool, you can keep track of issues as they arise.

Every DBA has a slightly different list, but these are the ones that tend to matter most in practice. Query response time and wait events show you where performance is actually being lost. Threads connected and threads running tell you about concurrency pressure. The InnoDB buffer pool hit ratio shows whether your data is served from memory or forces expensive disk reads—you want it above 95% in most cases. Slow query count is an early warning signal. And if you’re running replication, Seconds_Behind_Source belongs on every dashboard.

The challenge isn’t collecting these metrics—MariaDB exposes most of them natively. The challenge is correlating them in context, spotting when a combination of metrics points to a specific problem, and knowing which queries are responsible. That’s where a tool like SolarWinds DPA earns its keep.

Replication lag can gradually become a serious issue if it goes unnoticed. The standard way to check for lag is by running SHOW REPLICA STATUS (or SHOW SLAVE STATUS on older versions) on your replica nodes, which displays important fields such as Seconds_Behind_Source, Replica_IO_Running, Replica_SQL_Running, and information related to the binary log.

However, running this command manually is not a comprehensive monitoring solution—it only provides a snapshot in time. An effective MariaDB monitoring system should continuously track replication health, alert you when lag exceeds a set threshold, and help you link replication delays to specific queries or workloads. SolarWinds DPA is built to provide this ongoing insight, ensuring that a lagging replica is detected before read queries start returning outdated data.

Good MariaDB monitoring isn’t just about having the right tool—it’s about knowing what to do with it. A few practices that separate the pros from the firefighters:

Monitor performance at the query level, not just at the server level. While server metrics indicate when your database is under stress, query metrics identify which specific queries are responsible. Establish baselines early so your anomaly detection can accurately identify unusual patterns—a spike is only evident if you know what normal looks like. Configure alerts based on wait time thresholds, not just CPU and memory usage. Regularly review your slow query log; the queries that seem harmless today may become problematic as load increases in the future.

Not every MariaDB monitoring tool is built the same—and picking the wrong one can leave you flying blind when performance tanks at 2 a.m. When you’re evaluating your options, here’s what actually matters.

Start with wait-based analysis. Metrics alone tell you something is slow—wait analysis tells you why. That distinction saves you hours of guesswork. Beyond that, look for these criteria when comparing tools: query-level visibility down to individual SQL statements; anomaly detection that learns your database’s normal behavior over time; cross-stack correlation so you can tie database waits back to application requests and underlying infrastructure; and fast time-to-value, meaning you shouldn’t need a week of setup before you get useful data.

Also, think about your environment. Do you run MariaDB alongside other database platforms? A tool that handles MariaDB, MySQL, SQL Server, Oracle, Azure, and other cloud databases from a single pane of glass beats managing four separate monitoring solutions any day. SolarWinds DPA is built with exactly that kind of multi-platform visibility in mind—so your MariaDB monitoring fits into your broader observability strategy rather than living in its own silo.

SolarWinds DPA is available for each step of the MariaDB database management process—from anomaly detection to trend correlation to MariaDB performance tuning tools.

The process of MariaDB management with DPA is intuitive. DPA provides a wealth of information for your monitored MariaDB instance. Query analysis combined with machine learning enables admins to identify the root cause of poor performance and fix it using DPA MariaDB performance-tuning tools.

MariaDB tuning refers to correcting any database anomalies leading to slow database performance. With query tuning advisors, IT admins can pinpoint the line of code in a slow query, possibly creating long wait times. Similarly, tuning for other database features, like capacity and indexing, offers a comprehensive troubleshooting solution—for your MariaDB database and many other database types.

  • MariaDB is almost identical to MySQL, with a few key differences. MariaDB is an open-source fork of the MySQL database, created in 2009 by some of the engineers behind MySQL. As a fork, MariaDB contains the same source code as MySQL, which is now closed-source.

    Initially, there was no practical difference between MariaDB and MySQL—with a new set of founders, MariaDB could replicate MySQL in an open-source format without legal repercussions. Since its founding, however, MariaDB has evolved away from its origins with revisions.

    Many IT admins prefer MariaDB to MySQL because of its operating efficiency, large number of contributors, and bug fixes constantly improving its database capabilities. MariaDB is also highly compatible with MySQL, with features such as file formats, protocols, and more.

  • A MariaDB monitor is a tool that continuously tracks the health, performance, and behavior of your MariaDB database instances. Think of it as your eyes on the database when you’re not actively watching—which, realistically, is most of the time. An effective MariaDB monitor tracks key metrics, including query execution times, wait events, connection counts, cache hit ratios, replication lag, and resource usage. If any issues arise, it alerts you before your end users are affected.

    SolarWinds DPA goes beyond basic MariaDB monitoring by correlating database activity with application requests and system metrics—so you’re not just seeing that something is slow, you’re understanding why and where to fix it.

  • IT admins often use MariaDB as a faster, more transparent database solution compared to related databases. While MariaDB offers efficiency in data retrieval, there are still plenty of ways your database can experience performance bottlenecks. MariaDB performance monitoring allows you to detect database anomalies with automated monitoring tools to reduce downtime and improve your operations.

    Detecting MariaDB performance issues is essential in streamlining your database operations—but it’s also crucial in identifying potentially serious threats to your database server. Slow retrieval times and performance anomalies could indicate a security compromise that could cost your company everything. With a Maria DB monitoring tool, you can keep track of issues as they arise.

  • Every DBA has a slightly different list, but these are the ones that tend to matter most in practice. Query response time and wait events show you where performance is actually being lost. Threads connected and threads running tell you about concurrency pressure. The InnoDB buffer pool hit ratio shows whether your data is served from memory or forces expensive disk reads—you want it above 95% in most cases. Slow query count is an early warning signal. And if you’re running replication, Seconds_Behind_Source belongs on every dashboard.

    The challenge isn’t collecting these metrics—MariaDB exposes most of them natively. The challenge is correlating them in context, spotting when a combination of metrics points to a specific problem, and knowing which queries are responsible. That’s where a tool like SolarWinds DPA earns its keep.

  • Replication lag can gradually become a serious issue if it goes unnoticed. The standard way to check for lag is by running SHOW REPLICA STATUS (or SHOW SLAVE STATUS on older versions) on your replica nodes, which displays important fields such as Seconds_Behind_Source, Replica_IO_Running, Replica_SQL_Running, and information related to the binary log.

    However, running this command manually is not a comprehensive monitoring solution—it only provides a snapshot in time. An effective MariaDB monitoring system should continuously track replication health, alert you when lag exceeds a set threshold, and help you link replication delays to specific queries or workloads. SolarWinds DPA is built to provide this ongoing insight, ensuring that a lagging replica is detected before read queries start returning outdated data.

  • Good MariaDB monitoring isn’t just about having the right tool—it’s about knowing what to do with it. A few practices that separate the pros from the firefighters:

    Monitor performance at the query level, not just at the server level. While server metrics indicate when your database is under stress, query metrics identify which specific queries are responsible. Establish baselines early so your anomaly detection can accurately identify unusual patterns—a spike is only evident if you know what normal looks like. Configure alerts based on wait time thresholds, not just CPU and memory usage. Regularly review your slow query log; the queries that seem harmless today may become problematic as load increases in the future.

  • Not every MariaDB monitoring tool is built the same—and picking the wrong one can leave you flying blind when performance tanks at 2 a.m. When you’re evaluating your options, here’s what actually matters.

    Start with wait-based analysis. Metrics alone tell you something is slow—wait analysis tells you why. That distinction saves you hours of guesswork. Beyond that, look for these criteria when comparing tools: query-level visibility down to individual SQL statements; anomaly detection that learns your database’s normal behavior over time; cross-stack correlation so you can tie database waits back to application requests and underlying infrastructure; and fast time-to-value, meaning you shouldn’t need a week of setup before you get useful data.

    Also, think about your environment. Do you run MariaDB alongside other database platforms? A tool that handles MariaDB, MySQL, SQL Server, Oracle, Azure, and other cloud databases from a single pane of glass beats managing four separate monitoring solutions any day. SolarWinds DPA is built with exactly that kind of multi-platform visibility in mind—so your MariaDB monitoring fits into your broader observability strategy rather than living in its own silo.

  • SolarWinds DPA is available for each step of the MariaDB database management process—from anomaly detection to trend correlation to MariaDB performance tuning tools.

    The process of MariaDB management with DPA is intuitive. DPA provides a wealth of information for your monitored MariaDB instance. Query analysis combined with machine learning enables admins to identify the root cause of poor performance and fix it using DPA MariaDB performance-tuning tools.

    MariaDB tuning refers to correcting any database anomalies leading to slow database performance. With query tuning advisors, IT admins can pinpoint the line of code in a slow query, possibly creating long wait times. Similarly, tuning for other database features, like capacity and indexing, offers a comprehensive troubleshooting solution—for your MariaDB database and many other database types.

View More Features

Optimize performance with MariaDB database monitoring and tuning tool

Database Performance Analyzer

  • Effectively troubleshoot your MariaDB instances with an anomaly detection tool
  • 24/7 expert advice via query tuning advisor
  • Quickly identify the most impactful queries and inefficient workloads

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