SAN FRANCISCO - December 10, 2013 - Splunk Inc. (NASDAQ: SPLK), provider of the leading software platform for real-time operational intelligence, today announced it has acquired Cloudmeter, Inc., a provider of network data capture technologies. The addition of Cloudmeter will enhance the ability of Splunk customers to analyze machine data directly from their networks and correlate it with other machine-generated data to gain insights across Splunk’s core use cases in application and infrastructure management, IT operations, security and business analytics.
“The increasing complexity of enterprise applications and infrastructure makes network data a valuable source of data for operational intelligence,” said Godfrey Sullivan, Chairman and CEO, Splunk. “Cloudmeter has a strong technical team with deep networking expertise. They have built a robust, highly scalable solution that will allow our customers to easily capture network data, either on-premises or in the cloud. We look forward to integrating Cloudmeter technology into Splunk’s platform for machine data.”
Founded in 2007, Cloudmeter was one of the early companies to identify the value in the massive amounts of data that flow through organizations’ networks. Cloudmeter helps customers harvest network traffic to create actionable insights across a broad range of use cases.
“Our focus has been to develop innovative solutions that enable easier access to and insight from network data,” said Michael Dickey, founder, CEO and CTO, Cloudmeter. “Network data is a major contributor to the growth of big data and we are excited to join Splunk. We look forward to developing new capabilities that will help customers realize the full potential of their network and other machine-generated big data.”
Terms of the transaction were not disclosed. The transaction was funded with cash from Splunk’s balance sheet.
Safe Harbor Statement
This press release contains forward-looking statements that involve risks and uncertainties, including statements regarding Splunk’s proposed product offerings, future product capabilities and investments in product development. There are a significant number of factors that could cause actual results to differ materially from statements made in this press release, including: difficulties encountered in integrating Cloudmeter’s business; whether the companies can successfully develop new products or modify existing products and the degree to which these gain market acceptance; and the competitive environment in the software industry and competitive responses to the acquisition.
Additional information on potential factors that could affect Splunk’s financial results is included in the company's Quarterly Report on Form 10-Q for the quarter ended July 31, 2013, which is on file with the U.S. Securities and Exchange Commission. Splunk does not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.
Splunk Inc. (NASDAQ: SPLK) provides the engine for machine data™. Splunk® software collects, indexes and harnesses the machine-generated big data coming from the websites, applications, servers, networks, sensors and mobile devices that power business. Splunk software enables organizations to monitor, search, analyze, visualize and act on massive streams of real-time and historical machine data. More than 6,400 enterprises, universities, government agencies and service providers in over 90 countries use Splunk Enterprise to gain Operational Intelligence that deepens business and customer understanding, improves service and uptime, reduces cost and mitigates cybersecurity risk. Splunk Cloud™ is a service that delivers Splunk Enterprise in the cloud for large-scale production environments. Splunk Storm®, a cloud-based subscription service, is used by organizations developing and running applications in the cloud. Hunk™: Splunk Analytics for Hadoop is a fully integrated analytics platform for Hadoop that enables everyone in an organization to interactively explore, analyze and visualize historical data in Hadoop.
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