Cloudera Launches Impala, Real-Time Query Engine for Hadoop
The company's open-source real-time query project, Impala, gets released, allowing enterprises to manage big data more effectively.Cloudera, an enterprise software company that provides Apache Hadoop-based software, support and services, announced the Oct. 24 launch of Impala, a real-time query engine for Hadoop to help companies make use of big data. The platform allows batch and real-time operations to be performed on any type of data, unstructured and structured, within one scalable system. Hadoop, an open-source software framework that supports data-intensive distributed applications, allows applications to work with thousands of computation-independent computers and petabytes of data. Impala is an Apache-licensed query engine for data stored in Hadoop Distributed File System (HDFS), a scalable, portable file system written in Java for the Hadoop framework and HBase, a nonrelational, distributed database currently serving several data-driven Websites, such as Facebook's Messaging Platform. Cloudera Enterprise (Real-time Query) RTQ provides the management and support capabilities needed for Impala. "Mainstream enterprise adoption of Hadoop will inevitably raise expectations," Ovum principal analyst Tony Baer said in a statement. "Enterprises have grown accustomed to interactive querying and on-the-spot analytics with their existing data warehousing and BI infrastructures and will expect no less of Hadoop. With a real-time query capability powered by its new Impala engine, Cloudera is striving to level the playing field in performance and accessibility with massively parallel SQL platforms."
According to a recent Cloudera survey of more than 100 customers, more than 70 percent of enterprises surveyed said they are actively exploring how to extract value from big data as a chief business imperative, and the survey found operational IT efficiency and competitive advantage as the main business drivers for adopting the Hadoop platform. However, 78 percent of customers said they need faster queries on Hadoop.