Presto is an Open-source Big Data Tools used to Distributed SQL Query Engine. It is developed by Facebook in in 2012.
It also used to Join multiple databases, Scalable, very fast and easily used in minutes.
Presto’s Advantage - The main advantage is that you can run probabilistic queries.
Presto’s Architecture - The Presto architecture is very similar to a classic database management system by using the cluster computing.
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 - 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 - Great Features of Apache Drill – The following features are - ü Schema-free JSON document model similar to MongoDB and Elastic search ü Easy to use and developer friendly ü High performance Java based API ü Memory management system ü Industry-standard API like ANSI SQL, ODBC/JDBC, RESTful APIs ü How does Drill achieve performance? ü Distributed query optimization and execution ü Runtime compilation and code generation What Datastores does Drill support? Drill’s main focused on non-relational data stores, including Hadoop, NoSQL and cloud storage. The following datastores are - ü NoSQL - HBase and MongoDB ü Cloud Storage - Amazon S3, Google Cloud Storage, Azure Blog Storage and Swift ü Hadoop - MapR, CDH and Amazon EMR What Similarities between Spark Sql and Apache Drill? ü Both the Apache Drill and Spark SQL are open source ü Do not require a Hadoop cluster to get started ü Both the SQL-on-Hadoop tools can easily be run inside a VM. ü Both the Apache Drill and Spark SQL are supports multiple data formats- JSON, Parquet, MongoDB, Avro, MySQL and so on. What Are the Main Differences between Spark SQL and Apache Drill? The Spark SQL only supports a subset of SQL but Apache Drill supports ANSI SQL. Querying data in Spark SQL with help of languages like Java, Scala or Python but Apache Drill querying data with helps of MySQL or Oracle. Is Spark SQL similar to Drill? How does Drill support queries on self-describing data? ü On-the-fly schema discovery