Machine data player Splunk kicked off its annual user conference in San Francisco with a score of announcements aimed at bolstering the company's big data muscle.
Splunk said that it will team with Amazon Web Services to offer Hunk, the company's analytics platform for Hadoop and NoSQL data, on an hourly basis via the Amazon EMR console.
Splunk said the new pricing model will give customers the choice between going for the hourly rate or choosing to bring their existing Hunk licenses to the Amazon EMR platform.
Splunk's SVP of products Guido Schroeder posited that Splunk on AWS will drastically decrease time to value for organizations by giving them the chance to spin up analytics the moment they put data in Hadoop.
"Until Hunk, big data analytics initiatives could take months and often required specialized data scientists," he said. "Now, security analysts can obtain more comprehensive protection against modern threats, risk management professionals can analyze raw big data without sampling, and product managers can understand granular data to plan new products."
Splunk also announced a new version of its machine data platform. With Splunk 6.2, the company said users can reduce total cost of ownership by improving scalability of concurrent searches and eliminating shared storage requirements. Splunk Enterprise 6.2 will be generally available as software for on premises, cloud or hybrid deployments, and as a cloud service through Splunk Cloud on Oct. 28, the same day Hunk 6.2 will be generally available on AWS.
Splunk capped off Tuesday’s announcements with word that of Splunk MINT Express is now generally available and that Splunk MINT Enterprise has entered beta. The platforms are the first new products stemming from Splunk’s acquisition of Bugsense last September.
The cloud-based services give mobile app developers access to fast path to analytics on app quality, usage and performance. The enterprise incarnation extends those capabilities integrating mobile application data with data in Splunk Enterprise or Splunk Cloud.
"In a mobile-first world, mobile app performance and quality are mission-critical," Schroeder added. "At the same time, data from mobile apps that provides insights into user behavior and usage characteristics becomes even more valuable when combined with data from other channels, including web and laptop applications, to provide full visibility of user interactions across multiple channels."