Cloudera Rides Hadoop, Big Data to Market Advancement
"When Cloudera emerged from stealth in 2009, the vision was to bring Hadoop to the enterprise," Reilly said in a statement. "At the time, the idea of 'big data' was on the cusp of adoption. Five years later, Cloudera is setting the standard for how enterprises across all verticals are managing their big data. The market demand for these technologies is fierce as companies realize the competitive advantage and strategic value of their data.” Cloudera will use the funding to further drive the enterprise adoption of and innovation in Hadoop and promote the enterprise data hub (EDH) market; support geographic expansion into Europe and Asia; expand its services and support capabilities; and scale the field and engineering organizations. In addition, the latest round of funding validates the mainstream adoption of Hadoop among enterprises today and Cloudera's position in what many believe is the most important technology sea change in the data center for the next decade--the move to Hadoop for storing, processing and analyzing the vast quantities of data commonly referred to as big data. "Cloudera is successfully helping enterprises exploit big data and manage the transition to becoming more data centric," said Henry Ellenbogen, portfolio manager for the T. Rowe Price New Horizons Fund, in a statement. "With strong leadership, an ability to innovate, a satisfied customer base, and a large partner community, we believe Cloudera is well positioned to build a durable and leading company in this space.""We see broad demand from enterprises who want a flexible approach to handling large amounts of data, and we expect this market to continue to grow rapidly," said Google Ventures General Partner Karim Faris, in a statement. "Cloudera is dramatically lowering the cost of reliable storage for the enterprise and is enabling the analysis and mining of large data sets in a way that wasn't possible before." A growing number of large enterprises are building enterprise data hubs built on Hadoop to address a wide variety of data challenges and increasingly to work with data in more ways, not only for processing and archiving, but now for self-service BI and advanced analytics. Cloudera maintains that it has driven enterprise capabilities and more power into the Hadoop platform than any other company as evidenced by the incorporation of real-time query with its open source Cloudera Impala; real-time search support with Lucene and Solr; security with Cloudera's Apache Sentry project; integrated governance, compliance, reporting and disaster recovery--all onto the Hadoop platform. Reilly also said he believes Apache Spark should be embraced and has been integrated into the Cloudera distribution. Apache Spark is an open source, parallel data processing framework that complements Apache Hadoop to make it easy to develop fast, unified big data applications combining batch, streaming and interactive analytics on all your data. “Cloudera is bringing enterprise manageability to big data,” he said.
Hadoop has emerged as the de facto choice for the underlying data management technology making it possible to store, process and analyze vastly larger and more complex datasets than ever before.