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DBMS > HugeGraph vs. MonetDB vs. Newts vs. PostGIS vs. Quasardb

System Properties Comparison HugeGraph vs. MonetDB vs. Newts vs. PostGIS vs. Quasardb

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMonetDB  Xexclude from comparisonNewts  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA relational database management system that stores data in columnsTime Series DBMS based on CassandraSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelGraph DBMSRelational DBMSTime Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.monetdb.orgopennms.github.io/­newtspostgis.netquasar.ai
Technical documentationhugegraph.apache.org/­docswww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikipostgis.net/­documentationdoc.quasar.ai/­master
DeveloperBaiduMonetDB BVOpenNMS Groupquasardb
Initial release20182004201420052009
Current release0.9Dec2023 (11.49), December 20233.4.2, February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
Implementation languageJavaCJavaCC++
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.nonoyesno
Secondary indexesyes infoalso supports composite index and range indexyesnoyesyes infowith tags
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
HTTP API
Supported programming languagesGroovy
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, in SQL, C, Rnouser defined functionsno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding via remote tablesSharding infobased on Cassandrayes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoSource-replica replication available in experimental statusselectable replication factor infobased on Cassandrayes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardnoyes infobased on PostgreSQLCryptographically strong user authentication and audit trail

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More resources
HugeGraphMonetDBNewtsPostGISQuasardb
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