Since the initial beta release of Cloudera Impala more than one year ago (October 2012), we’ve been committed to regularly updating you about its evolution into the standard for running interactive SQL queries across data in Apache Hadoop and Hadoop-based enterprise data hubs. To briefly recap where we are today:
Impala is being widely adopted.
Impala has been downloaded by people in more than 5,000 unique organizations, and Cloudera Enterprise customers from multiple industries and Fortune 100 companies have deployed it as supported infrastructure, integrated with their existing BI tools, in business-critical environments. Furthermore, MapR and Amazon Web Services (via its Elastic MapReduce service) recently announced support for Impala in their own platforms.
Impala has demonstrated production readiness.
Impala has proved out its superior performance for interactive queries in a concurrent-workloads environment, while providing reliable resource sharing compared to batch-processing alternatives like Apache Hive.
Impala sports an ever-increasing list of enterprise features.
Planned new enterprise features are materializing rapidly and according to plan — including the addition of fine-grained, role-based authorization, user-defined functions (UDFs), cost-based optimization, and pre-built analytic functions.
via Impala Performance Update: Now Reaching DBMS-Class Speed.
