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DBMS > HugeGraph vs. Oracle Coherence vs. PostgreSQL vs. SiteWhere vs. StarRocks

System Properties Comparison HugeGraph vs. Oracle Coherence vs. PostgreSQL vs. SiteWhere vs. StarRocks

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSiteWhere  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSOracles in-memory data grid solutionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLM2M integration platform for persisting/querying time series dataAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelGraph DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­java/­coherencewww.postgresql.orggithub.com/­sitewhere/­sitewherewww.starrocks.io
Technical documentationhugegraph.apache.org/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.postgresql.org/­docssitewhere1.sitewhere.io/­index.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperBaiduOraclePostgreSQL Global Development Group infowww.postgresql.org/­developerSiteWhereThe Linux Foundation infosince Feb 2023
Initial release201820071989 info1989: Postgres, 1996: PostgreSQL20102020
Current release0.914.1, August 202316.3, May 20242.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoCommon Public Attribution License Version 1.0Open 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.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaJavaCJavaC++, Java
Server operating systemsLinux
macOS
Unix
All OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexnoyesnoyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsnoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTJDBC
MySQL protocol
Supported programming languagesGroovy
Java
Python
.Net
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
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.user defined functions
Triggersnoyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infobased on HBasehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, with selectable consistency levelSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurableACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlUsers, roles and permissionsauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptRole based access control and fine grained access rights

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More resources
HugeGraphOracle CoherencePostgreSQLSiteWhereStarRocks
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