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DBMS > Citus vs. GigaSpaces vs. GridDB vs. Sphinx vs. Trino

System Properties Comparison Citus vs. GigaSpaces vs. GridDB vs. Sphinx vs. Trino

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonSphinx  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataOpen source search engine for searching in data from different sources, e.g. relational databasesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeGraph DBMS
Search engine
Key-value store
Relational DBMS
Document 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
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.citusdata.comwww.gigaspaces.comgriddb.netsphinxsearch.comtrino.io
Technical documentationdocs.citusdata.comdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netsphinxsearch.com/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGigaspaces TechnologiesToshiba CorporationSphinx Technologies Inc.Trino Software Foundation
Initial release20102000201320012012 info2020 rebranded from PrestoSQL
Current release8.1, December 201815.5, September 20205.1, August 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2, commercial licence 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 languageCJava, C++, .NetC++C++Java
Server operating systemsLinuxLinux
macOS
Solaris
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampnoyes
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.yes infospecific XML type available, but no XML query functionalityno infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyes infofull-text index on all search fieldsdepending on connected data-source
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocolJDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnonoyes, depending on connected data-source
Triggersyesyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supporteddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersdepending on connected data-source
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.depending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users can be defined per databasenoSQL standard access control
More information provided by the system vendor
CitusGigaSpacesGridDBSphinxTrino
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsGitHub trending repository
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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