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DBMS > LokiJS vs. MarkLogic vs. Quasardb vs. Spark SQL

System Properties Comparison LokiJS vs. MarkLogic vs. Quasardb vs. Spark SQL

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Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­techfort/­LokiJSwww.marklogic.comquasar.aispark.apache.org/­sql
Technical documentationtechfort.github.io/­LokiJSdocs.marklogic.comdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMarkLogic Corp.quasardbApache Software Foundation
Initial release2014200120092014
Current release11.0, December 20223.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Sourcecommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++Scala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryyes
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
Secondary indexesyes infovia viewsyesyes infowith tagsno
SQL infoSupport of SQLnoyes infoSQL92SQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJavaScript 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
HTTP APIJDBC
ODBC
Supported programming languagesJavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptyes infovia XQuery or JavaScriptnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes infoTransient modeno
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsCryptographically strong user authentication and audit trailno

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More resources
LokiJSMarkLogicQuasardbSpark SQL
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