This is the Windows app named Apache Drill whose latest release can be downloaded as ApacheDrill1.21.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
Apache Drill
DESCRIPTION:
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. 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.
Features
- Data-driven compilation and recompilation at execution time
- Query any non-relational datastore (well, almost...)
- Treat your data like a table even when it's not
- Keep using the BI tools you love
- Scale from one laptop to 1000s of servers
- Columnar execution engine (the first ever to support complex data!)
Programming Language
Java
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/apache-drill.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.