LOS ALTOS, CA and AMSTERDAM, THE NETHERLANDS--(Marketwired - Apr 16, 2014) - Elasticsearch Inc., the massively popular open source search and analytics company, is thrilled to announce that Gaurav Gupta has joined as its first VP, Product Management. In his new role, Gupta, the former VP of Products at Splunk, will help define Elasticsearch's product roadmap -- the ELK stack (Elasticsearch, Logstash and Kibana) as well as connectors to Hadoop -- as it marches toward becoming the de facto platform for businesses to organize and analyze all of their data.
Gupta spent the past five years as a product leader at Splunk, a publicly-traded software company that provides operational intelligence software to make machine data accessible. While there, Gupta was responsible for the overall user experience of the company's core enterprise product, including its indexing, search and analytics technology. He also led the development of the company's Cloud and online offerings, including Splunk Storm, Splunk Apps and Splunk Answers. Before Splunk, Gupta worked in product and strategy roles at Google, Gateway and the McKenna Group, and also spent time as a venture capitalist.
"With 500,000 downloads every month and the support of a passionate community, it's obvious Elasticsearch is building something truly disruptive," said Gaurav Gupta, VP, Product Management at Elasticsearch. "I couldn't be more thrilled to join the company at such an exciting time, and look forward to translating our vision into products that continue to allow our customers to leverage all of their data like never before."
"We're focused on building the most simple yet scalable products that redefine how businesses explore and extract value from their data," said Shay Banon, Elasticsearch creator, co-founder and CTO. "I'm excited to have someone like Gaurav on board who shares our vision and is going to play an instrumental role in taking our products to the next level."
Gupta joins Elasticsearch in the middle of its most exciting year yet. In the past four months, the company launched its first commercial product, Elasticsearch Marvel; debuted its flagship product, Elasticsearch 1.0; and released a new version of Logstash, Logstash 1.4; putting it into a position to truly meet the vision of actionable insights from all the data across a business. Thousands of businesses worldwide continue to adopt Elasticsearch to store, search and analyze any type of data in real time, including Target, Bloomberg, The New York Times, Facebook, GitHub, Netflix, Yelp, Verizon, McGraw-Hill, WordPress, Atlassian and SoundCloud.
Upcoming webinar: The ELK Stack in a DevOps Environment
On Wednesday, May 21 at 9:00am PT, Elasticsearch will host a webinar that explores how DevOps can utilize the ELK stack to provide metrics and data that ensure key performance indicators are met, while also facilitating effective collaboration across teams. To register, visit: http://www.elasticsearch.org/webinars/elk-stack-devops-environment/
About Elasticsearch Inc.
Elasticsearch is on a mission to make massive amounts of data usable for businesses by delivering the world's most advanced search and analytics engine available. With a laser focus on achieving the best user experience imaginable, the Elasticsearch ELK stack -- comprised of Elasticsearch, Logstash, and Kibana -- has become one of the most popular and rapidly-growing open source solutions in the market. Used by thousands of enterprises in virtually every industry, Elasticsearch Inc. provides production support, development support and training for the ELK stack as well as a commercially available native monitoring solution, Marvel, that gives Elasticsearch users full transparency into the health of their systems.
Elasticsearch Inc. was founded in 2012 by the people behind the Elasticsearch and Apache Lucene open source projects. Since its initial release, Elasticsearch has nearly 6 million cumulative downloads. Elasticsearch Inc. is backed by Benchmark Capital and Index Ventures with offices in Amsterdam and Los Altos, California.
To learn more, visit www.elasticsearch.com.