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DBMS > HugeGraph vs. Hyprcubd vs. PostgreSQL vs. Spark SQL vs. Trino

System Properties Comparison HugeGraph vs. Hyprcubd vs. PostgreSQL vs. Spark SQL vs. Trino

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonHyprcubd  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrino  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSServerless Time Series DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
hyprcubd.com (offline)www.postgresql.orgspark.apache.org/­sqltrino.io
Technical documentationhugegraph.apache.org/­docswww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperBaiduHyprcubd, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationTrino Software Foundation
Initial release20181989 info1989: Postgres, 1996: PostgreSQL20142012 info2020 rebranded from PrestoSQL
Current release0.916.3, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCScalaJava
Server operating systemsLinux
macOS
Unix
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyes infoalso supports composite index and range indexnoyesnodepending on connected data-source
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC (https)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, depending on connected data-source
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasepartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark Coredepending 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 infoother methods possible by using 3rd party extensionsnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyes infoedges in graphnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
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.yesnonono
User concepts infoAccess controlUsers, roles and permissionstoken accessfine grained access rights according to SQL-standardnoSQL standard access control
More information provided by the system vendor
HugeGraphHyprcubdPostgreSQLSpark SQLTrino
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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