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DBMS > HugeGraph vs. InterSystems Caché vs. Postgres-XL vs. Stardog vs. VelocityDB

System Properties Comparison HugeGraph vs. InterSystems Caché vs. Postgres-XL vs. Stardog vs. VelocityDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSA multi-model DBMS and application serverBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Graph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­cachewww.postgres-xl.orgwww.stardog.comvelocitydb.com
Technical documentationhugegraph.apache.org/­docsdocs.intersystems.comwww.postgres-xl.org/­documentationdocs.stardog.comvelocitydb.com/­UserGuide
DeveloperBaiduInterSystemsStardog-UnionVelocityDB Inc
Initial release201819972014 infosince 2012, originally named StormDB20102011
Current release0.92018.1.4, May 202010 R1, October 20187.3.0, May 20207.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMozilla public licensecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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 languageJavaCJavaC#
Server operating systemsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
macOS
Windows
Any that supports .NET
Data schemeyesdepending on used data modelyesschema-free and OWL/RDFS-schema supportyes
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.noyesyes infoXML type, but no XML query functionalityno infoImport/export of XML data possibleno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.Net
Supported programming languagesGroovy
Java
Python
C#
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyesyesyes infovia event handlersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and rolesBased on Windows Authentication

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More resources
HugeGraphInterSystems CachéPostgres-XLStardogVelocityDB
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