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DBMS > Citus vs. LevelDB vs. TigerGraph vs. Trino

System Properties Comparison Citus vs. LevelDB vs. TigerGraph vs. Trino

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonLevelDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument storeDocument 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
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.citusdata.comgithub.com/­google/­leveldbwww.tigergraph.comtrino.io
Technical documentationdocs.citusdata.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.tigergraph.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGoogleTrino Software Foundation
Initial release2010201120172012 info2020 rebranded from PrestoSQL
Current release8.1, December 20181.23, February 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoBSDcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageCC++C++Java
Server operating systemsLinuxIllumos
Linux
OS X
Windows
LinuxLinux
macOS infofor devlopment
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 functionalitynonono
Secondary indexesyesnodepending on connected data-source
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language (GSQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
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.noyesyes, depending on connected data-source
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesdepending 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 controlfine grained access rights according to SQL-standardnoRole-based access controlSQL standard access control
More information provided by the system vendor
CitusLevelDBTigerGraphTrino
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CitusLevelDBTigerGraphTrino
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