Multi-Dimensional Database Performance Analysis

Software to analyze multi-dimensional database performance across platforms

Put metrics in context and zero in on the data you need

Metrics are relative, so without the proper context, they’re often meaningless. Traditional database management focuses on dashboards with countless confusing health metrics, while newer tools can offer context to look at performance data from multiple angles.

With SolarWinds® Database Performance Analyzer (DPA), you can easily invoke the right context filter and quickly filter down to a wait time for a specific SQL query within a program for deeper multi-dimensional database analysis.

Correlate multi-dimensional database metrics for improved system health and performance

Database performance tuning focused on reducing utilization of CPU, memory, storage, or the network can improve resource use, but doesn’t necessarily improve database performance.

By correlating database response time with resource metrics, DPA can show the link between resource contention, its effect on the database, and ultimately application performance. The VM Feature is also designed to provide a direct correlation between database response time, the physical host, and datastore for databases on VMware.

Monitor and analyze the significance of wait times

SQL Server wait types and Oracle, DB2, and ASE wait events are key to understanding the precise cause of slow SQL response times in multi-dimensional databases.

However, understanding waits can be difficult, which is why DPA includes a description of the wait, advice on how to best resolve the issue, and insight into who typically deals with the problem at hand to help improve DevOps collaboration between developers, IT generalists, and accidental DBAs. Database Performance Analyzer is also built to monitor these waits, so you can more easily identify those with the most significant impact on database performance.

Focus on response time to optimize database performance

Database management software products tend to neglect the most important aspect of performance: response time. The time between an application submitting a SQL statement and the database management system responding really matters to applications and end users.

By starting with response time, DPA focuses the context of all metrics and further analysis on areas that can deliver the biggest impact to improving the most important database metric: database response time.

Drill down on the factors related to SQL performance

Many factors influence SQL performance, including number of executions, plans, and locking/blocking. To truly understand SQL performance, database developers need to see how code works in production.

DPA places only a negligible load on production servers regardless of settings or view within the product. To help ensure the security of production performance data, the security settings and Active Directory integration in DPA provide multi-level permissions and group-based policies.

Get More on Multi-Dimensional Database Structure

Do you find yourself asking…
"…this product is invaluable to my team for problem resolution. We could not do our jobs as efficiently, nor could we solve problems as quickly, without this product."

Database Administrator

S&P 500 Company

Optimize the performance of your multi-dimensional database structure

Database Performance Analyzer

  • Correlate data to find the root cause behind slow response times.
  • Make data meaningful with context filters.
  • Easily share intuitive charts and graphs with developers, architects, QA engineers, DBAs, and managers.

Starts at $1,275

Subscription and Perpetual Licensing options available

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