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Apache Drill is an open-source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets. Drill is the open source version of Google's Dremel system which is available as an infrastructure service called Google BigQuery. One explicitly stated (design goal ) is that Drill is able to scale to 10,000 servers or more and to be able to process petabytes of data and trillions of records in seconds. Drill is an Apache top-level project.〔(【引用サイトリンク】url=https://blogs.apache.org/foundation/entry/the_apache_software_foundation_announces66 )〕 Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes. ==Features== * Schema-free JSON document model similar to MongoDB and Elasticsearch * Industry-standard APIs: ANSI SQL, ODBC/JDBC, RESTful APIs * Extremely user and developer friendly * Pluggable architecture enables connectivity to multiple datastores 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Apache Drill」の詳細全文を読む スポンサード リンク
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