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DBMS > Apache Spark (SQL) vs. Trino vs. Yaacomo

System Properties Comparison Apache Spark (SQL) vs. Trino vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonTrino  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.80
Rank#31  Overall
#19  Relational DBMS
Score5.40
Rank#61  Overall
#35  Relational DBMS
Websitespark.apache.org/­sqltrino.ioyaacomo.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
DeveloperApache Software FoundationTrino Software FoundationQ2WEB GmbH
Initial release20142012 info2020 rebranded from PrestoSQL2009
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS infofor devlopment
Android
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnodepending on connected data-sourceyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes, depending on connected data-source
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Coredepending on connected data-sourcehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on connected data-sourceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoSQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache Spark (SQL)TrinoYaacomo
News

68: Year of the Snake - Python UDFs
16 January 2025

Trino in 2024 and beyond
7 January 2025

Trino Summit 2024 resources
18 December 2024

The long journey to Apache Ranger
2 December 2024

The glorious lineup for Trino Summit 2024
22 November 2024

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More resources
Apache Spark (SQL)TrinoYaacomo
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