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DBMS > HugeGraph vs. MonetDB

System Properties Comparison HugeGraph vs. MonetDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA relational database management system that stores data in columns
Primary database modelGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#337  Overall
#31  Graph DBMS
Score2.20
Rank#143  Overall
#67  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.monetdb.org
Technical documentationhugegraph.apache.org/­docswww.monetdb.org/­Documentation
DeveloperBaiduMonetDB BV
Initial release20182004
Current release0.9Jul2021-SP2, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensions
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGroovy
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, in SQL, C, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding via remote tables
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 status
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
HugeGraphMonetDB
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