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UpBeat Performance Explorer-i Product Gallery

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Seasonal analysis Time ranges can be overlapped to identify seasonal changes in performance (like week over last week)
SQL Spike Analysis Spike analysis across hundreds and thousands of SQL statements, top SQL analysis with ability to drill-down to modules, tables and individual SQL level performance
Future Trend Projections Combination of averaging and regression models enables creation of performance forecasts
Analysis filters to clarify trends Averaging filters enable proper smoothing to extract trends from wide ranges of performance data
Superimposed Smoothed Chart with current and historical regression trends Clearly spots changing trends in one of the most important database performance statistics
SQL Spike Analysis Report SQL Spike analysis report provides detailed SQL information and outlines problem SQL statements
Comparison of Performance Snapshots: SQL Compare Section Clearly indicates root cause of the performance problem - 20x spike in SQL frequency (week over week)
Comparison of Performance Snapshots: System Statistics Clearly indicates major shift in overall database performance
Spike Analysis of System Statistics Identify spikes across hundreds statistics at once and review individual system statistics
Baseline Analysis Identify performance deviations from a recorded baselines
Full Support for AWR, AHS and Statspack data Connect to single instance or RAC databases. Can connect to multiple databases and RAC nodes for complex cross-database and cross-instance analysis
Individual SQL analysis SQL statements can be analyzed per SQL_ID individually and in groups
I/O analysis Spike I/O analysis on segment, tablespace and datafile level
ChartBag Automated performance analysis based on pre-defined templates
Analysis time selection options Analysis time-line selection based on time ranges, performance snapshot ranges and time amount
Comparison of Performance Snapshots: System Statistics Clearly indicates major shift in overall database performance
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