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DBMS > HugeGraph vs. LokiJS vs. mSQL vs. OrigoDB vs. XTDB

System Properties Comparison HugeGraph vs. LokiJS vs. mSQL vs. OrigoDB vs. XTDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLokiJS  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSIn-memory JavaScript DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMSDocument storeRelational DBMSDocument store
Object oriented DBMS
Document store
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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­techfort/­LokiJShughestech.com.au/­products/­msqlorigodb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationhugegraph.apache.org/­docstechfort.github.io/­LokiJSorigodb.com/­docswww.xtdb.com/­docs
DeveloperBaiduHughes TechnologiesRobert Friberg et alJuxt Ltd.
Initial release2018201419942009 infounder the name LiveDB2019
Current release0.94.4, October 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infofree licenses can be providedOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptCC#Clojure
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesUser defined using .NET types and collectionsyes, extensible-data-notation format
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.nononono infocan be achieved using .NETno
Secondary indexesyes infoalso supports composite index and range indexyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnolimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JavaScript APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languagesGroovy
Java
Python
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
.NetClojure
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsView functions in JavaScriptnoyesno
Triggersnoyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynonenone
Foreign keys infoReferential integrityyes infoedges in graphnonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesyes infoWrite ahead logyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlUsers, roles and permissionsnonoRole based authorization

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More resources
HugeGraphLokiJSmSQL infoMini SQLOrigoDBXTDB infoformerly named Crux
DB-Engines blog posts

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