Elasticsearch Debuts Marvel To Deploy And Monitor Its Open Source Search And Data Analytics Technology

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Elasticsearch, a real-time, enterprise data search and analytics startup and open source project, is debuting Marvel, a real-time deployment management and monitoring solution for its technology.

For background, helps companies extract information from their large distributed volumes of structured and unstructured data. The organization wants to provide a simple way to analyze petabytes of information to deliver information that businesses require to make real-time, intelligent and actionable decisions. The technology was created by co-founder and CTO Shay Banon, who released an open source product in 2009 that has already been downloaded 1.5 million times, including a current rate of 200,000/month, making it one of the top open source projects in the world.

Users of Elasticsearch include Netflix, Yelp, Verizon, Foursquare, GitHub, Bloomberg, Soundcloud, Facebook, and McGraw-Hill to do everything from harnessing the power of call-records and social media data to powering mobile apps and alerting newsrooms to curation possibilities. For example, Foursquare says that it handles tens of millions of searches across 50 million locations each day and Elasticsearch returns real-time results.

As mentioned above, many startups and companies use Elasticsearch’s open source technology to extract information, but don’t have a built in product that sits on top of the technology to enable monitoring and other capabilities. Enter Marvel, Elasticsearch’s first commercial offering, that makes it easy to run search, monitor performance, get visual views in real time and take action to fix things and improve performance. Marvel allows Elasticsearch system operators, who manage the technology at companies like Foursquare, see their Elasticsearch deployments in action, initiate instant checkup, and access historical data in context. Potential systems issues can be spotted and resolved before they become problems, and troubleshooting is faster. Pricing starts at $500 per five nodes.

From a developer point of view, Elasticsearch is a relatively easy and lightweight technology to use, build on and plug into. We’ve heard that once you have one piece of the Elasticsearch stack up and running, it’s simple to build on that. Elasticsearch says that revenue growth in 2013 was over 400% and the company has reached six million downloads (up from 2 million this time last year), at a pace of more than 450,000 downloads per month. And with Marvel, Elasticsearch is betting that developers want a dashboard-like high level visibility of their data, in real-time.

In terms of funding, the startup has raised over $34 million from Index Ventures, Benchmark, Data Collective and SV Angel.