Presto DB

What is Presto or PrestoDB?

Presto is written in the language Java and formulated on 10 November in the year 2013 by Facebook. Presto is also known as PrestoDB and it helps non-relational data sources and relational data sources. Non-relational data sources are like MongoDB, Base, Amazon S3, HDFS (Hadoop Distributed File System) and relational data sources are Microsoft SQL Server, MySQL, PostgreSQL and Teradata. It’s an open-source SQL query engine that is created for a large scale industry that circulated for several servers and for running fast. Many companies are using Presto like Facebook, Netflix and some trending network companies are Dropbox, Airbnb, Groupon. It is formulated to solve the query immediately and a data infrastructure group of Facebook created this. Several organizations and Facebook allotted for Presto, while it’s become trending for doing interactive queries on Hadoop. By utilizing Presto per day Facebook solves at least 30, 000 queries. Many data driven companies use this and for them it has become a choice. On your data you can easily operate Presto SQL queries.

It facilitates data where it dwells, which means data that has the query consists of Hadoop, relational databases, Cassandra, NoSQL databases, AWS S3. It also permits the users to access the data from several sources that permit the whole organization for analytics.

Presto as per Wikipedia:

Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWSS3, Alluxio, MySQL, MongoDB and Teradata, and allows use of multiple data sources within a query. Presto is community-driven open-source software released under the Apache License.

Features of Presto

There are some important features of Presto which we are discuss in broadly in points as mentioned below:

• All the data sources have been authorized: This feature is very unique and makes presto distinct from other data sources platforms. Presto attaches the data from other sources because it does not have its own storage but it reads the data from them. By Presto, you can utilize numerous data sources at one time and from these multiple data, only one query can cross the source data.

• It has the highest speed: Having big data forms a big list of queries such as a user-facing data-driven application. Presto permits to build this without having an intermediary system needing the performance. By using Presto, your business empower with real-time analytics as well it explore and visualize your data in time, regardless of its size or complexity.

• Obtainability is high: If you want to change you can change the worker according to your wish or want or even you can add them also. It also provide the high performance as Presto is known for its exceptional query performance. It achieves this through techniques like in-memory processing, vectorized execution and pipelining. These optimization minimize data movement and processing overhead, resulting in faster query response times.

• Pipelined In-Memory Execution: In presto, there are no other results kept in the disk and it accomplishes the whole processing in memory.

• Open Sources: Presto is an open-source project that is maintained by the Presto Software Foundation. The open nature of Presto encourages in fosters innovation, community contribution, and ensure transparency in its development.

Advantage of Presto

• One of the important advantage of Presto are as follow:
• Anyone can understand this, because it is simple to use and easy to understand.
• It operates many queries, it solves over 30,000 queries per day on Facebook, as well on many other network sites.
• It is unique and what make it different is because it support ANSI SQL.
• It support a large amount of data in very high speed.

Conclusion: Presto DB is formulated to solve the query immediately and a data infrastructure group of Facebook created this. In the conclusion we only conclude that this is a simple language that any one can understand this and can support the large amount of data in very high speed.