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DBMS > HugeGraph vs. OrigoDB vs. SQLite vs. Stardog

System Properties Comparison HugeGraph vs. OrigoDB vs. SQLite vs. Stardog

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonOrigoDB  Xexclude from comparisonSQLite  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA fully ACID in-memory object graph databaseWidely used embeddable, in-process RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMSDocument store
Object oriented DBMS
Relational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score0.06
Rank#379  Overall
#51  Document stores
#18  Object oriented DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
origodb.comwww.sqlite.orgwww.stardog.com
Technical documentationhugegraph.apache.org/­docsorigodb.com/­docswww.sqlite.org/­docs.htmldocs.stardog.com
DeveloperBaiduRobert Friberg et alDwayne Richard HippStardog-Union
Initial release20182009 infounder the name LiveDB20002010
Current release0.93.45.2  (12 March 2024), March 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoPublic Domaincommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#CJava
Server operating systemsLinux
macOS
Unix
Linux
Windows
server-lessLinux
macOS
Windows
Data schemeyesyesyes infodynamic column typesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infonot rigid because of 'dynamic typing' concept.yes
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.nono infocan be achieved using .NETnono infoImport/export of XML data possible
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyes infoSQL-92 is not fully supportedYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGroovy
Java
Python
.NetActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infoDomain Eventsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoclient side managed; servers are not synchronizednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoedges in graphdepending on modelyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlUsers, roles and permissionsRole based authorizationnoAccess rights for users and roles

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