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DBMS > HugeGraph vs. PostGIS vs. SQLite vs. Stardog vs. Tkrzw

System Properties Comparison HugeGraph vs. PostGIS vs. SQLite vs. Stardog vs. Tkrzw

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPostGIS  Xexclude from comparisonSQLite  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSSpatial extension of PostgreSQLWidely used embeddable, in-process RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMSSpatial DBMSRelational DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score24.72
Rank#29  Overall
#1  Spatial DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Score0.05
Rank#380  Overall
#59  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
postgis.netwww.sqlite.orgwww.stardog.comdbmx.net/­tkrzw
Technical documentationhugegraph.apache.org/­docspostgis.net/­documentationwww.sqlite.org/­docs.htmldocs.stardog.com
DeveloperBaiduDwayne Richard HippStardog-UnionMikio Hirabayashi
Initial release20182005200020102020
Current release0.93.4.2, February 20243.45.2  (12 March 2024), March 20247.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoPublic Domaincommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCJavaC++
Server operating systemsLinux
macOS
Unix
server-lessLinux
macOS
Windows
Linux
macOS
Data schemeyesyesyes infodynamic column typesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yesno
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.noyesnono infoImport/export of XML data possibleno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyes infoSQL-92 is not fully supportedYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
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
Actionscript
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyesyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLnoneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
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.yesnoyesyesyes infousing specific database classes
User concepts infoAccess controlUsers, roles and permissionsyes infobased on PostgreSQLnoAccess rights for users and rolesno

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More resources
HugeGraphPostGISSQLiteStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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