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DBMS > HugeGraph vs. mSQL vs. RavenDB vs. searchxml vs. Sphinx

System Properties Comparison HugeGraph vs. mSQL vs. RavenDB vs. searchxml vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application serverOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSRelational DBMSDocument storeNative XML DBMS
Search engine
Search engine
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
hughestech.com.au/­products/­msqlravendb.netwww.searchxml.net/­category/­productssphinxsearch.com
Technical documentationhugegraph.apache.org/­docsravendb.net/­docswww.searchxml.net/­support/­handoutssphinxsearch.com/­docs
DeveloperBaiduHughes TechnologiesHibernating Rhinosinformationpartners gmbhSphinx Technologies Inc.
Initial release20181994201020152001
Current release0.94.4, October 20215.4, July 20221.03.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoAGPL version 3, commercial license availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#C++C++
Server operating systemsLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Raspberry Pi
Windows
WindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyes
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, triggersSQL-like query language (RQL)noSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesyes infoon the application serverno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingnoneSharding 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 HBasenoneMulti-source replicationyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availablemultiple readers, single writerno
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.yesnono
User concepts infoAccess controlUsers, roles and permissionsnoAuthorization levels configured per client per databaseDomain, group and role-based access control at the document level and for application servicesno

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More resources
HugeGraphmSQL infoMini SQLRavenDBsearchxmlSphinx
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