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DBMS > HugeGraph vs. mSQL vs. Percona Server for MongoDB vs. Postgres-XL vs. Sphinx

System Properties Comparison HugeGraph vs. mSQL vs. Percona Server for MongoDB vs. Postgres-XL vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
hughestech.com.au/­products/­msqlwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgres-xl.orgsphinxsearch.com
Technical documentationhugegraph.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodbwww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperBaiduHughes TechnologiesPerconaSphinx Technologies Inc.
Initial release2018199420152014 infosince 2012, originally named StormDB2001
Current release0.94.4, October 20213.4.10-2.10, November 201710 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoGPL Version 2Open Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence available
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 languageJavaCC++CC++
Server operating systemsLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyes infoalso supports composite index and range indexyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes infodistributed, parallel query executionSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoJavaScriptuser defined functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infovia In-Memory Engineno
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
HugeGraphmSQL infoMini SQLPercona Server for MongoDBPostgres-XLSphinx
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