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DBMS > HugeGraph vs. LokiJS vs. MarkLogic vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison HugeGraph vs. LokiJS vs. MarkLogic vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­techfort/­LokiJSwww.marklogic.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationhugegraph.apache.org/­docstechfort.github.io/­LokiJSdocs.marklogic.comlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperBaiduMarkLogic Corp.MicrosoftSphinx Technologies Inc.
Initial release20182014200120152001
Current release0.911.0, December 2022V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++C++
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonoyesno
Secondary indexesyes infoalso supports composite index and range indexyes infovia viewsyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infoSQL92noSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIProprietary protocol
Supported programming languagesGroovy
Java
Python
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsView functions in JavaScriptyes infovia XQuery or JavaScriptnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingSharding infoImplicit feature of the cloud serviceSharding 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 HBasenoneyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyesyes 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.yesyesyes, with Range Indexesno
User concepts infoAccess controlUsers, roles and permissionsnoRole-based access control at the document and subdocument levelsyes infousing Azure authenticationno

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More resources
HugeGraphLokiJSMarkLogicMicrosoft Azure AI SearchSphinx
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