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DBMS > Hive vs. HugeGraph vs. MonetDB vs. Postgres-XL

System Properties Comparison Hive vs. HugeGraph vs. MonetDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSA relational database management system that stores data in columnsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.monetdb.orgwww.postgres-xl.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docswww.monetdb.org/­Documentationwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBaiduMonetDB BV
Initial release2012201820042014 infosince 2012, originally named StormDB
Current release3.1.3, April 20220.9Dec2023 (11.49), December 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoMozilla public license
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.
Implementation languageJavaJavaCC
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensionsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
PHP
Python
Groovy
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsyes, in SQL, C, Ruser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes 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 methodsyes infoquery execution via MapReducevia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HiveHugeGraphMonetDBPostgres-XL
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