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

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

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparisonSQLite  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesWidely used embeddable, in-process RDBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMSSpatial DBMSSearch engineRelational DBMSGraph DBMS
RDF 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
Score6.06
Rank#61  Overall
#6  Search engines
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
postgis.netsphinxsearch.comwww.sqlite.orgwww.stardog.com
Technical documentationhugegraph.apache.org/­docspostgis.net/­documentationsphinxsearch.com/­docswww.sqlite.org/­docs.htmldocs.stardog.com
DeveloperBaiduSphinx Technologies Inc.Dwayne Richard HippStardog-Union
Initial release20182005200120002010
Current release0.93.4.2, February 20243.5.1, February 20233.45.2  (12 March 2024), March 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoGPL version 2, commercial licence availableOpen 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++CJava
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-lessLinux
macOS
Windows
Data schemeyesyesyesyes infodynamic column typesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnoyes 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.noyesnono infoImport/export of XML data possible
Secondary indexesyes infoalso supports composite index and range indexyesyes infofull-text index on all search fieldsyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)yes 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
Proprietary protocolADO.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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
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
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infobased on PostgreSQLnonenoneMulti-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 Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoedges in graphyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlUsers, roles and permissionsyes infobased on PostgreSQLnonoAccess rights for users and roles

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