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Supports IBM Db2 LUW 10.5 and above
DBmarlin monitors database performance, tracks changes and helps your databases run fast.
Provides an easy to use and consistent way to monitor MySQL, MariaDB, PostgreSQL, Oracle, SQL Server, IBM Db2 & CockroachDB, self-hosted or cloud.
Captures SQL statement text and wait states so you can see exactly where the time is spent when executing SQL within your databases.
Auto-detects changes to schema objects, database parameters and explain plans so you can see their impact on performance.
Allows you to register events such as code releases, or other important events, helping you diagnose the impact of changes against your databases.
Provides actionable insights and advice which lets you tune your database without any expert knowledge.
Modern and consistent user interface across different database technologies that is easy to understand for experts and non-experts alike.
Cross-platform database performance tuning and optimisation
Supports cloud-hosted as well as self-hosted databases
Drill down to the root cause of performance problems within the database in just a few clicks.Get Started
Auto-detect changes to schema objects, parameters, explain plans and more, including visualisation of their performance impact.
Automatic recommendations to help tune your database without requiring expert knowledge.Get Started
I have had the pleasure of working with 3 generations of DBA products from this team. DBMarlin is their latest and greatest. When we have performance issues this product gets right to the heart of the matter quickly.
Advisory Board Member - LicenseFortress
Introducing DBmarlin immediately gave us the deeper query insights we needed. We have been able to improve lots of very slow queries. Our top slowest query took 5 seconds before we used DBmarlin. Now it runs in 10 milliseconds removing an important performance bottleneck.
DevOps Engineer - Mayden
Try it now. Simple install and fast root cause. Or book a demo with our team today!
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or book a demo with our team
“DBmarlin is very helpful in pointing out the most expensive SQL (based on different criteria), which is usually the first step in finding the SQL performance bottlenecks, followed by the actual query tuning."