![]() ![]() Alternatively, they can simply download and install the software, typically in a matter of hours, to connect to their relevant machine data sources. Paying users can sign up for Splunk Cloud and avoid the need to provision, deploy and manage internal infrastructure. Users that prefer to deploy the software on-premises can take advantage of our free 60-day trial of Splunk Enterprise, which converts into a limited free perpetual license of up to 500 megabytes of data per day. Prospective users can get started with our free online sandboxes that enable our customers to immediately try and experience Splunk offerings. ![]() ![]() They generally do not require customization, long deployment cycles or extensive professional services commonly associated with traditional enterprise software applications. Our offerings are designed to deliver rapid return-on-investment for our customers. Our software leverages improvements in the cost and performance of commodity computing and can be deployed in a wide variety of computing environments, from a single laptop to large globally distributed data centers as well as public, private and hybrid cloud environments. Our technology delivers speed, scalability and advanced analytics including machine learning when processing massive amounts of machine data for anomaly detection, event grouping, prediction and other methods. Splunk Enterprise also enables customers to interactively explore, analyze and visualize data stored in data sources such as Hadoop and Amazon S3. This is in contrast to traditional IT systems that require users to establish the format of their data prior to collection in order to answer a pre-set list of questions. Our machine data platform uses our patented data processing architecture that performs dynamic schema creation at read time, rather than write time, enabling users to run queries on data without having to define or understand the structure of the data prior to collection and indexing. Splunk Enterprise can collect and index petabytes of machine data daily, irrespective of format or source. ![]() Our flagship product is Splunk Enterprise, a machine data platform, comprised of collection, indexing, search, reporting, analysis, alerting, monitoring and data management capabilities. The result is an improved level of operational visibility enabling more informed business decisions that can provide greater efficiency, security and competitive advantage for our customers. We believe this operational intelligence enables organizations to improve service levels, reduce operational costs, mitigate security risks, demonstrate and maintain compliance, and drive better business decisions. Our offerings are intended to help users in various roles, including IT, security and business professionals, quickly analyze their machine data and achieve real-time visibility into and intelligence about their organization’s operations. Our customers leverage our offerings for various use cases, including infrastructure and operations management, security and compliance, applications management and business analytics, and to provide insights into data generated by the IoT and industrial data, among many others. Our mission is to make machine data accessible, usable and valuable to everyone in an organization. These forward-looking statements include, but are not limited to, statements concerning the following: Forward-looking statements are often identified by the use of words such as, but not limited to, “anticipate,” “believe,” “can,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “seek,” “should,” “target,” “will,” “would” and similar expressions or variations intended to identify forward-looking statements. Statements that are not purely historical are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended (the “Exchange Act”). This Annual Report on Form 10-K, including but not limited to the sections entitled “Business,” “Risk Factors,” and “Management’s Discussion and Analysis of Financial Condition and Results of Operations,” contains forward-looking statements that involve risks and uncertainties, as well as assumptions that, if they never materialize or prove incorrect, could cause our results to differ materially from those expressed or implied by such forward-looking statements. ![]()
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