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DBMS > GeoSpock vs. Greenplum vs. H2 vs. Trino

System Properties Comparison GeoSpock vs. Greenplum vs. H2 vs. Trino

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGreenplum  Xexclude from comparisonH2  Xexclude from comparisonTrino  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Spatial DBMSDocument 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegeospock.comgreenplum.orgwww.h2database.comtrino.io
Technical documentationdocs.greenplum.orgwww.h2database.com/­html/­main.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGeoSpockPivotal Software Inc.Thomas MuellerTrino Software Foundation
Initial release200520052012 info2020 rebranded from PrestoSQL
Current release2.0, September 20197.0.0, September 20232.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJava, JavascriptJavaJava
Server operating systemshostedLinuxAll OS with a Java VMLinux
macOS infofor devlopment
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infosince Version 4.2nono
Secondary indexestemporal, categoricalyesyesdepending on connected data-source
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesyes
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
Java
Perl
Python
R
JavaGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsyes, depending on connected data-source
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databasedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
GeoSpockGreenplumH2Trino
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
News

59: Querying Trino with Java and jOOQ
24 April 2024

A sneak peek of Trino Fest 2024
15 April 2024

Time travel in Delta Lake connector
11 April 2024

58: Understanding your users with Trino and Mitzu
4 April 2024

57: Seeing clearly with OpenTelemetry
14 March 2024

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More resources
GeoSpockGreenplumH2Trino
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