Officially described as a schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage, Apache Drill is a smart distributed query engine which allows flexible mechanism to query multiple data sources without requiring much plumbing.
It is an open source, low-latency query engine for big data that delivers secure and interactive SQL analytics at petabyte scale. With the ability to discover schemas on-the-fly, Drill is a pioneer in delivering self-service data exploration capabilities on data stored in multiple formats in files or NoSQL databases. Drill is fully ANSI SQL compliant and integrates seamlessly with visualization tools.
Its nearest competitor is Google’s Dremel, which can be considered as a user-friendly SQL solution and the strength of its own Infrastructure is a service (IaaS) named BigQuery. However, Dremel isn’t open-source. Apache Drill is often preferable as it has all the features and comparable speed of Dremel, and is open-source at the same time. In short, it is perfect for Hadoop, which is nowadays considered nearly synonymous with the word “Big Data”.
Having understood the capabilities of Drill, let us have a look at some of the advantages it equips its users with. Apart from being trustworthy, flexible and bug free, it allows smooth business on a daily basis.
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