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Apache Drill - Apache Drill is a Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage and it allows us to explore, visualize and query different datasets without having to fix to a schema using ETL and so on. Apache Drill is also Analyse the multi-structured and nested data in non-relational data stores directly without restricting any data. Apache Drill is the first distributed SQL query engine and it contains the schema free JSON model and its looks like - ü   Elastic Search ü   MongoDB ü   NoSQL database ü   And SO on The Apache Drill is very useful for those professionals that already working with SQL databases and BI tools like Pentaho, Tableau, and Qlikview. Also Apache Drill supports to - ü   RESTful, ü   ANSI SQL and ü   JDBC/ODBC drivers Great Features of Apache Drill – The following features are - ü   Schema-free JSON document model similar to MongoDB and Elastic search ü   C...

Spark SQL - The Spark SQL is used for real-time, in-memory and parallelized SQL-on-Hadoop engine. The Spark SQL is not a general purpose SQL layer and it’s used to allow us to do several advanced analytics with data. The Spark SQL supports only a subset of SQL functionality and users have to write code in Java , Python and so on to execute a query. Great Features of Spark SQL - ü   Spark SQL provides security through encryption using SSL for HTTP protocols. ü   The Spark SQL supports lots of features to analysis the large scale of data. ü   The Spark SQL supports lots of data types for machine learning . ü   In the Spark SQL, you can easily to write data pipelines. ü   In the Spark SQL, easy to add optimization rules, data types and data source by using the Scala programming language When To Use Spark SQL? Spark SQL is the best SQL-on-Hadoop tool and best used of Spark SQL is fetch data for diverse machine learning tasks. ...