Over the next few weeks, Startup50 will profile a few of the startups that have earned their way into the Big 50-2016 Startup Report. Today, we look at Elastic, a well-funded Big Data startup. Elastic recently released a new product that helps you analyze the hidden relationships buried in your data.
Startup in the spotlight: Elastic 
What they do: Elastic’s mission is to make every type of data, structured or unstructured, usable in real-time. Businesses can use Elastic for search, logging, security, and analytics through its open-source software, the Elastic Stack.
Problem they solve: According to Elastic, traditional software products were not designed for the needs of today’s data-driven developers. Making complex and large volumes of structured and unstructured data usable in real-time across a variety of mission-critical use cases is a stumbling block for many Big Data companies.
How they solve it: Elastic provides a suite of products engineered to solve the most common use cases – from website, mobile, or application search to more complex analytics use cases such as fraud, cyber-security, criminal tracking, drug and disease discovery to deciphering massive logs in systems like financial trading applications, ecommerce systems, inventory management systems, and retail systems.
Elastic’s software has already been embedded into software from such brand names as Dell, eTrade, Guardian, Goldman Sachs, HotelTonight, Mozilla, MSN.com, NASA, NY Times, Spotify, Uber, Verizon, Yelp, Wikipedia, and much more.
Recently, Elastic launched a new extension for Elasticsearch and Kibana called Graph. This extension allows anyone to uncover, understand, and explore the relationships that live in their data. By combining the speed and relevance-ranking of search with graph exploration, Graph opens up a whole host of new use-cases with the Elastic Stack.
“We built Graph to help you ask new types of questions about the data you store in Elasticsearch,” said Steve Kearns, Sr. Director of Product Management at Elastic. “By looking at the relationships in your data through the lens of relevance, it becomes easy to answer questions that previously would involve multiple systems, batch jobs or machine learning.”
A cool use case of Graph is to rely on it to analyze the Panama papers, which you can read more about in this Elastic blog post.
Headquarters: Mountain View, CA and Amsterdam, The Netherlands
CEO: Steven Schuurman, CEO and co-founder. Before taking on the CEO role at Elastic, Steven was CEO of Orange11, which was acquired by Trifork A/S (TRIFOR.CO) in 2012. Prior to Orange11, Steven co-founded SpringSource, which was acquired by VMware in 2009.
Year founded: 2012
Funding: $104 million raised in three rounds from Benchmark Capital, Index Ventures, New Enterprise Associates; The most recent round was a $70 million Series C, which closed in June 2014.
Why they will be in the Big 50-2016: Elastic has raised the most funding of any of the Big Data startups that will appear in the final Big 50 report, and in Big Data circles, they’re already a household name. Moreover, Elastic has a long and impressive list of customers.
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The full report will feature in-depth profiles (much more exhaustive than the mini profile above) with market analysis, key differentiators, and more.
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