By David Spark
Today’s IT operations can’t operate without continuous real-time anomaly detection.
“Everything that Splunk does is built on their search capability,” said Trajman.
“But you can’t use search to build an operational analytic platform,” added Brown. “Search is very powerful when you know exactly what you’re looking for. It is extremely poor when you don’t know what you’re looking for or when you’re trying to do a more abstract analysis.”
For network data analysis to effectively help the business, IT needs to be alerted about unexpected events as they happen. This requires a system that can collect and analyze data in real time.
“Rocana is using machine learning to more quickly identify which machines or groups of machines are the likely source of the problem – which is the same process as identifying which readings are anomalous,” said Monash. “By way of contrast Splunk takes a similar approach to BI but does less of it and does not have the machine learning integration.”
Jason Bloomberg (@theebizwizard), president of Intellyx, adds, “Splunk focuses on data correlation while Rocana offers analysis deeper than correlation that can provide more intelligent anomaly detection.”
Read the entire article at http://blog.rocana.com/rocana-vs-splunk-it-operations-showdown
