After all, Big Data remains one of the fastest-growing segments of the IT industry with researcher Wikibon predicting that the big data technology market will grow nearly 22 percent to $33.31 billion this year.
We have identified 10 hottest Big Data startups that currently trending in this field.
Self-service software and cloud service for business analysts that enables them to blend data, analyze it and share it so that actions can be taken. The company says it has more than 1,000 customers around the world, including restaurant Sonic, which we wrote about here. Alteryx has its roots in a company called SRC that worked closely with the U.S. Census Bureau and was formed in 1997 by its three founders, all of whom still hold prominent roles at Alteryx.
Arcadia Data is developing visual analytics software that overcomes those hurdles by directly accessing data stored in Hadoop clusters. The technology uses Hadoop as an operating system, allowing it to run directly on Hadoop servers and access data stored in the Hadoop Distributed File System.
AtScale, founded in 2013, aims to bridge that disconnect. The San Mateo, Calif.-based company exited stealth mode in April and debuted its AtScale Intelligence Platform software that allows commonly used business intelligence tools to access data stored in Hadoop clusters. The technology creates a semantic layer between Hadoop and business analytics tools, turning Hadoop into an OLAP server.
Cloudera is a big data company built on the Hadoop platform. The startup offers a free open source version and a paid version for businesses. The company has more than a billion dollars in funding including $740 million last March from Intel Capital and they have a valuation in the $4 billion range.
Confluent was launched in September 2014 to provide technology and services that help businesses adopt and use the Kafka system. Based in Mountain View, Calif., Confluent was co-founded by Jay Kreps, Neha Narkhede and Jun Rao, who created Kafka while working at LinkedIn.
Domo was in stealth mode between its 2010 launch and earlier this year, but interest in the cloud-based executive management system the company had under development was already high. In April, the American Fork, Utah-based company debuted its application that provides business managers with access to information scattered across many disparate sources through a single dashboard.
Kyvos Insights is startup that seeks a better way to analyze data stored in Hadoop clusters. Specifically, the Los Gatos, Calif.-based company developed OLAP (online analytical processing) software that carries out interactive, multidimensional analysis tasks on huge volumes of structured and unstructured Hadoop data.
MongoDB is a free and open-source cross-platform document-oriented database. Classified as a NoSQL database, MongoDB avoids the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas, making the integration of data in certain types of applications easier and faster.
Opera Solutions is a big data company built on the Hadoop platform. The startup offers a free open source version and a paid version for businesses. The company has more than a billion dollars in funding including $740 million last March from Intel Capital and they have a valuation in the $4 billion range.
Tamr is the latest brainchild of database luminary Michael Stonebraker, who started the company in 2013 with fellow database industry veteran Andy Palmer. (Palmer serves as CEO while Stonebraker is CTO.) The two previously started Vertica Systems, now owned by Hewlett-Packard.