The emergence of big data has brought breathless excitement about the endless possibilities for market intelligence, customer engagement, and predictive insights. However, all those rich new capabilities also require new ways of handling the data on the back end. The old approaches are simply not good enough anymore in the era of big data analytics.
According to a recent survey of managers conducted by Unisphere Research, a majority of managers still perform a range of tasks manually including applying database patches and performing upgrades. (“From Database Clouds to Big Data: 2013 IOUG Survey on Database Manageability,” October 2013)
What’s needed are tools that help optimize performance by quickly identifying performance problems that might impact user response times, correlate response times with other metrics, and help managers visualize trends and analysis of database performance over specified periods of time. Automated capabilities are necessary for database performance today in order to free up data experts from routine jobs, and allow them to focus their efforts on higher value tasks that will help transform their organizations into dynamic data-driven enterprises.
Here are the winners of the 2014 DBTA Readers' Choice Awards for Best Database Performance Solution:
Winner: Oracle Enterprise Manager
Winners' Circle by Jeb Dasteel, Senior VP & Chief Customer Officer
Unleash Innovation by Simplifying IT
Oracle is shifting the complexity from IT, moving it out of the enterprise byengine ering hardware and software to work together—in the cloud and in the data center. By eliminating complexity and simplifying IT, Oracle enables its customers—400,000 of them in more than 145 countries around the world—to accelerate innovation and create added value for their customers ... read on.
Violin Memory Windows Flash Array
SolarWinds Database Performance Analyzer (Formerly Confio Ignite)