Splunk Buys Cloudmeter to Boost Operational Intelligence Portfolio
“Our solutions are already deployed and trusted by some of the world’s largest Fortune 500 companies,” Pandit said. “There is more to log analysis than IT logs and operational intelligence, and our ultra scalable platform takes the next step to unlocking the value of machine data – product and customer intelligence for the entire enterprise. We are proudly at the forefront of machine data analytics for the next era and the Internet of Things.” Glassbeam SCALAR is a scalable platform for machine data analytics – a hyper scale cloud-based platform designed to organize and analyze unstructured and multi-structured machine data. The SCALAR platform is powered by a parallel asynchronous engine, which uses the company’s domain-specific language (DSL) to describe the structure, meaning and relationships of unstructured data. Leveraging a stack of open source big data components including Cassandra and Solr, Glassbeam SCALAR is built for scale and speed to handle complex log bundles and analyze terabytes of data. “Glassbeam continues to innovate in machine data analytics,” said Krishna Roy, research analyst at 451 Research, in a statement. “In today’s big data reality, Glassbeam addresses one of the key issues around unstructured data, which is how to translate complex machine data into something structured and meaningful. With its core platform and applications, Glassbeam is well positioned to meet the growing demand for real time, multi-structured data analytics.”Glassbeam Explorer is a cloud-based search and log management application that enables users to find, explore, analyze and visualize logs, and other textual data. Users can manage and integrate complex, multi-format data from various sources to isolate and troubleshoot issues, compare and correlate data to tie events to changes, and create a central repository of device and customer logs for compliance and audit purposes. Meanwhile, Glassbeam Studio is a visual development tool that uses advanced extract, transform and load (ETL) and semantics to map unstructured logs to structured data for deeper analytics. Glassbeam Studio will enable developers to generate data mapping and metadata definitions inside the core platform, leveraging Glassbeam’s DSL for increased productivity and customized application development. “Aruba Networks leverages machine data from thousands of systems in the field, and the Glassbeam platform has enabled us to quickly extract valuable business insights from these logs,” said Ash Chowdappa, vice president of product management at Aruba Networks, in a statement. “We use the Glassbeam apps to obtain product and customer intelligence that allows us to proactively understand, support and manage our installed base and adopt a data-driven approach to business decision making.” Glassbeam’s Pandit explained that in his view Splunk is great for analyzing Syslog data in the IT space. Syslog is a standard for computer message logging. However, “Our data is a lot more complex and multi-structured,” he said. “We take different varieties of data and put it in a relational model. Our competition is largely a ‘build versus buy’ scenario. Some of our prospects say they tried to use Splunk, but it doesn’t scale to handle multi-structured data.” Glassbeam takes its solution to market as a Software as a Services (SaaS) solution using the Amazon Web Services (AWS) cloud, Pandit said. “But we have some people who want to OEM the solution for their private cloud, we can do that,” he said. “We offer some flexibility. For instance, we can take out Cassandra and add in Hadoop if you want.”
The company provides a set of standard applications, dashboards and tools to extend the power of the Glassbeam SCALAR platform. These include Glassbeam Analytics, Glassbeam Health Check, the new Glassbeam Explorer application and the new Glassbeam Studio visual development tool.