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DBMS > 4D vs. Hive vs. Spark SQL vs. STSdb vs. Trino

System Properties Comparison 4D vs. Hive vs. Spark SQL vs. STSdb vs. Trino

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemdata warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational 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
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.4d.comhive.apache.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4trino.io
Technical documentationdeveloper.4d.comcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
Developer4D, IncApache Software Foundation infoinitially developed by FacebookApache Software FoundationSTS Soft SCTrino Software Foundation
Initial release19842012201420112012 info2020 rebranded from PrestoSQL
Current releasev20, April 20233.1.3, April 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaScalaC#Java
Server operating systemsOS X
Windows
All OS with a Java VMLinux
OS X
Windows
WindowsLinux
macOS infofor devlopment
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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.yesnono
Secondary indexesyesyesnonodepending on connected data-source
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsSQL-like DML and DDL statementsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Thrift
JDBC
ODBC
.NET Client APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languages4D proprietary IDE
PHP
C++
Java
PHP
Python
Java
Python
R
Scala
C#
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonoyes, depending on connected data-source
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corenonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factornonenonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and rolesnonoSQL standard access control
More information provided by the system vendor
4D infoformer name: 4th DimensionHiveSpark SQLSTSdbTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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4D infoformer name: 4th DimensionHiveSpark SQLSTSdbTrino
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