Splunk Inc. (NASDAQ: SPLK), the leading software platform for real-time operational intelligence, today announced it has entered into an agreement to acquire BugSense Inc., a leading analytics solution for machine data generated by mobile devices. The addition of BugSense will enhance the ability of Splunk customers to analyze machine data directly from mobile devices and correlate it with other machine-generated data to gain operational intelligence.
“Enterprise applications and IT investments are increasingly shifting to mobile, making it an important source of data for operational intelligence,” said Godfrey Sullivan, Chairman and CEO, Splunk. “BugSense has a strong mobile development team and is an exciting addition to our product portfolio. Our goal is to make it easier for customers to gain insights from machine data generated by mobile devices, along with other machine-generated data, across Splunk’s core use cases in IT operations, security, application management and business analytics.”
Founded in 2011, BugSense provides developers and users rich analytics across a wide variety of use cases including mobile app performance, app quality, troubleshooting and usage based on data from mobile devices. BugSense supports all major mobile platforms, including Android, iOS and Windows Phone, via its mobile software development kits (SDKs). Today, BugSense enables users to analyze data from hundreds of millions of mobile devices through a highly scalable cloud platform.
“BugSense was founded by a team of experienced developers who share a passion for improving visibility and gaining valuable insights into data from mobile devices,” said Jon Vlachoyiannis, co-founder and CTO, BugSense. “We have admired Splunk over the years and are pleased to join a growing organization that is a leader in big data analytics. With the combination of our expertise in mobile and Splunk’s focus on operational intelligence for machine data, we are looking forward to building new capabilities that allow our joint customers to capture the value of machine data generated by mobile devices.”
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