Elasticsearch’s new Marvel tool adds monitoring to real-time analytics
Elasticsearch, the Amsterdam-based startup behind the open-source Big Data query engine of the same name, today announced the general availability of Marvel, its first commercial product. Marvel is a monitoring solution that pulls in and visualizes real-time activity data exposed through a project’s APIs to provide users with a better view of their deployments.
“Our mission has always been to bring massive amounts of data to life, so that our customers can get actionable insights instantly,” said Shay Banon, co-founder and CTO of Elasticsearch and the original creator of the platform that enables users to scan and process petabytes of data in real time. “With the introduction of Marvel, not only do we deliver on that promise, we make it even simpler to manage search, analysis and data visualization in real time.”
The tool correlates performance with historical patterns to put system health in a broader context, simplify troubleshooting and preemptively identify technical issues, according to the company. That pits it against Sematext’s SPM for Elasticsearch, an existing monitoring solution that can be deployed in the cloud and offers more enterprise-oriented features such as integrated alerting and the ability to set up custom business metrics.
The company said Marvel comes on the heels of Elasticsearch announcing revenue growth in 2013 of over 400 percent. Back in February 2013, the big data search tool startup had secured a handsome $24 million in series B funding. Marvel, which is free for developers but requires a license to use in production environments, marks a significant change in direction for Elasticsearch. Thus far, the startup followed a completely open-source business model centered on paid training courses. But the surge in adoption over the past year has proven to be too big of an opportunity to ignore.
The company said the Elasticsearch platform has been downloaded more than six million times to date, with users including Bloomberg, Facebook, Foursquare, GitHub, Netflix, Soundcloud, Verizon and Yelp.
Suzanne Kattau contributed to this story.
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