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

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

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonObjectBox  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseExtremely fast embedded database for small devices, IoT and MobileDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Object oriented DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.marklogic.comobjectbox.ioquasar.aispark.apache.org/­sql
Technical documentationdocs.marklogic.comdocs.objectbox.iodoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMarkLogic Corp.ObjectBox LimitedquasardbApache Software Foundation
Initial release2001201720092014
Current release11.0, December 20223.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache License 2.0commercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++Scala
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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.yesnonono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLyes infoSQL92noSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary native APIHTTP APIJDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and serverSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesnoyes infoTransient modeno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesCryptographically strong user authentication and audit trailno
More information provided by the system vendor
MarkLogicObjectBoxQuasardbSpark SQL
News

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23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

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9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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More resources
MarkLogicObjectBoxQuasardbSpark SQL
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