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Presto (SQL query engine): History, Architecture & Overview

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, AWS S3, Alluxio, MySQL, MongoDB and Teradata, and allows use of multiple data sources within a query. Presto is…

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Presto (SQL query engine) topic overview

The analysis highlights History, Architecture and Overview as prominent areas in the source structure around Presto (SQL query engine).

Related topics
36
Source areas
3
Connected nodes
39
Extracted relationships
18
Concept neighborhoods
30
Bridge connections
39

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Architecture · 15 topics
Overview · 13 topics
History · 8 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

License
Apache License 2.0
Operating system
Cross-platform
Original authors
Martin Traverso, Dain Sundstrom, David Phillips, Eric Hwang
Release
10 November 2013; 12 years ago (10 November 2013)
Repository
github.com/prestodb/presto
Standard
SQL

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Architecture

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Presto (SQL query engine) connects Entity context

The extracted context around Presto (SQL query engine) shows recurring relationship patterns in the source. For example, Presto (SQL query engine) → Apache License 2.0 Another extracted example is Presto (SQL query engine) → Cross-platform. Use these groups to spot repeated connection types before inspecting the individual relationships.

Presto (SQL query engine)

Top relations

License · 1
Presto (SQL query engine) → Apache License 2.0
Operating system · 1
Presto (SQL query engine) → Cross-platform
Original authors · 1
Presto (SQL query engine) → Martin Traverso, Dain Sundstrom, David Phillips, Eric Hwang
Release · 1
Presto (SQL query engine) → 10 November 2013; 12 years ago (10 November 2013)
Repository · 1
Presto (SQL query engine) → github.com/prestodb/presto
Standard · 1
Presto (SQL query engine) → SQL
Type · 1
Presto (SQL query engine) → Data warehouse
Website · 1
Presto (SQL query engine) → prestodb.io
Written in · 1
Presto (SQL query engine) → Java

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

presto data apache sql query prestodb facebook hadoop foundation called sources software trino teradata architecture original announced prestosql distributed engine

Presto (SQL query engine) relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Presto (SQL query engine). Examples in this analysis include Presto (SQL query engine) → License → Apache License 2.0 and Presto (SQL query engine) → Operating system → Cross-platform. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Presto (SQL query engine)LicenseApache License 2.01.00infobox
Presto (SQL query engine)Operating systemCross-platform1.00infobox
Presto (SQL query engine)Original authorsMartin Traverso, Dain Sundstrom, David Phillips, Eric Hwang1.00infobox
Presto (SQL query engine)Release10 November 2013; 12 years ago (10 November 2013)1.00infobox
Presto (SQL query engine)Repositorygithub.com/prestodb/presto1.00infobox
Presto (SQL query engine)StandardSQL1.00infobox
Presto (SQL query engine)TypeData warehouse1.00infobox
Presto (SQL query engine)Websiteprestodb.io1.00infobox
Presto (SQL query engine)Written inJava1.00infobox
Hadoopinstance ofIts architecture allows users to query data sources0.80text
Cassandrainstance ofIts architecture allows users to query data sources0.80text
Kafkainstance ofIts architecture allows users to query data sources0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Presto (SQL query engine) bring nearby vocabulary together. In this analysis, examples include Data, Apache and Multiple. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Presto (SQL query engine)
    • Data
    • Apache
    • Multiple
    • Foundation
    • Including
    • Sql
    • Prestodb
    • Query
    • Facebook
    • Software
    • Hadoop
    • Amazon
  • presto (sql query engine)
    • Big
    • Query
    • Trino
    • Sql
    • Apache
    • Data
    • Github
    • Multiple
    • Prestodb
    • Warehouse
    • Foundation
    • Including
  • big data
    • Engine
    • Trino
    • Sql
    • Sources
    • Github
    • Including
    • Prestodb
    • Query
    • Presto
    • Apache
    • S3
    • Computing
  • sql
    • Apache
    • Github
    • Warehouse
    • Trino
    • Hadoop
    • Facebook
    • Alluxio
    • Cassandra
    • Java
    • Kafka
    • License
    • Mongodb
  • apache license
    • Hadoop
    • Sql
    • Github
    • Java
    • Warehouse
    • Data
    • Presto
    • License
    • Hive
    • Original
    • Software
    • Prestodb
  • data warehouse
    • Sql
    • Sources
    • Github
    • Java
    • License
    • Query
    • Presto
    • Apache
    • S3
    • Facebook
    • Architecture
    • Hadoop
  • apache hive
    • Hadoop
    • Sql
    • Data
    • Presto
    • Github
    • License
    • Warehouse
    • Hive
    • Original
    • Prestodb
    • Query
    • Facebook
  • data lake
    • Sql
    • Sources
    • Query
    • Presto
    • Apache
    • S3
    • Hadoop
    • Prestodb
    • Alluxio
    • Cassandra
    • Github
    • Including

Connections between topic areas Semantic bridges

For Presto (SQL query engine), one of the stronger structural bridges in this analysis connects Presto (SQL query engine) with Architecture. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Presto (SQL query engine) — Architecture · splits 24 ⟂ 16
Presto (SQL query engine) — Overview · splits 26 ⟂ 14
Presto (SQL query engine) — History · splits 31 ⟂ 9

Map overview Semantic statistics

Presto (SQL query engine)

Nodes40
Edges39
Triples18
Avg. degree1.95
Density0.05
Components1

Source & methodology

TTTA analyzes the structure around Presto (SQL query engine) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Architecture & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Presto (SQL query engine) · EN edition · Analysis: TopicsToTalkAbout

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