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DBMS > HugeGraph vs. Quasardb vs. TimesTen vs. Trino

System Properties Comparison HugeGraph vs. Quasardb vs. TimesTen vs. Trino

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to OracleFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMSTime Series 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
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
quasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.htmltrino.io
Technical documentationhugegraph.apache.org/­docsdoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1trino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperBaiduquasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Trino Software Foundation
Initial release2018200919982012 info2020 rebranded from PrestoSQL
Current release0.93.14.1, January 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen 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 languageJavaC++Java
Server operating systemsLinux
macOS
Unix
BSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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.nononono
Secondary indexesyes infoalso supports composite index and range indexyes infowith tagsyesdepending on connected data-source
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGroovy
Java
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoPL/SQLyes, depending on connected data-source
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoconsistent hashingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkwith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationdepending on connected data-source
Foreign keys infoReferential integrityyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoby means of logfiles and checkpointsdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlUsers, roles and permissionsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
HugeGraphQuasardbTimesTenTrino
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HugeGraphQuasardbTimesTenTrino
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