Boston, MA 10/08/2014 (wallstreetpr) – Splunk Inc (NASDAQ:SPLK) introduced the latest version of machine data Splunk Enterprise 6.2. The latest version is available as software to deploy at different platform in the form of cloud, or hybrid and also as cloud service through Splunk Cloud.
Splunk Enterprise 6.2
The new version designs for powerful pattern detection and delivers simplified analysis for it users to build advanced analytics solutions. It also improves the search capability, eliminates the additional storage requirements and reduces the cost of concurrent improvement.
The features include a new interface to preview the information, onboard machine data and prepare for the rapid analysis. It delivers powerful analytics solution for everyone without the technical knowledge on Splunk Inc (NASDAQ:SPLK) Search Processing Language. The advanced features enhance the pattern detection and also help in the creation of dashboard for the analysis and simply the operational management through search head clustering and distributed management console.
Positive remark
According to IDC’s Tim Grieser, Program VP, Enterprise System Management Software, the demand to create analytics platform continues to grow with increasing the visibility of data pattern to provide extensive insights. As a result, the complexity to manage the IT infrastructure remains high, and the industry continues to look for advanced version like Splunk Enterprise 6.2. It creates analytics solution with strong capabilities in pattern detection for non-specialist users.
Customers also said that the new features in the latest version will enhance the operational performance of the Splunk platform and will improve the scalability while giving access across the enterprise over machine data analytics.
Splunk Inc (NASDAQ:SPLK)’s Senior VP, Products, Guido Schroeder said that the latest enterprise edition will provide an improved version of machine data through automated discovery valuable patterns. It offers a more insightful analysis for non-technical users. Moreover, he said that the additional quality like high scalability, limited storage requirements and low cost of maintenance will drive the operational efficiency by manifold.
