Dremel, developed at Google, is a system which relies on a nested model of data representation and is designed to support interactive analysis of very large datasets over shared clusters of commodity machines. Dremel uses a column-striped storage representation which is adopted to store nested data models. Dremel provides a high-level SQL-like language to express ad hoc queries. In contrast to other systems such as Pig or Hive, it executes queries natively without translating them into Hadoop jobs. In particular, Dremel is designed to execute many queries that would ordinarily require a sequence of Hadoop jobs. It has been commercialized under the name of BigQuery. It has been implemented as a part of the Cloudera Hadoop distribution under the name of Cloudera Impala. The Apache Drill project has open sourced the impelemnetation of the ideas of Dremel.
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