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DBMS > MarkLogic vs. MonetDB vs. Spark SQL vs. Teradata Aster vs. TerarkDB

System Properties Comparison MarkLogic vs. MonetDB vs. Spark SQL vs. Teradata Aster vs. TerarkDB

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMonetDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerarkDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseA relational database management system that stores data in columnsSpark SQL is a component on top of 'Spark Core' for structured data processingPlatform for big data analytics on multistructured data sources and typesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.marklogic.comwww.monetdb.orgspark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.marklogic.comwww.monetdb.org/­Documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMarkLogic Corp.MonetDB BVApache Software FoundationTeradataByteDance, originally Terark
Initial release20012004201420052016
Current release11.0, December 2022Dec2023 (11.49), December 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScalaC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-free infoSchema can be enforcedyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infoSQL92yes infoSQL 2003 with some extensionsSQL-like DML and DDL statementsyesno
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
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyes, in SQL, C, RnoR packagesno
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesnonoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardno

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More resources
MarkLogicMonetDBSpark SQLTeradata AsterTerarkDB
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