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DBMS > MarkLogic vs. Spark SQL vs. STSdb vs. Teradata Aster vs. Yaacomo

System Properties Comparison MarkLogic vs. Spark SQL vs. STSdb vs. Teradata Aster vs. Yaacomo

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata Aster  Xexclude from comparisonYaacomo  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOperational and transactional Enterprise NoSQL databaseSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodPlatform for big data analytics on multistructured data sources and typesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSKey-value storeRelational DBMSRelational 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
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.marklogic.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4yaacomo.com
Technical documentationdocs.marklogic.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMarkLogic Corp.Apache Software FoundationSTS Soft SCTeradataQ2WEB GmbH
Initial release20012014201120052009
Current release11.0, December 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
WindowsLinuxAndroid
Linux
Windows
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 Storeyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yesyes
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 indexesyesnonoyesyes
SQL infoSupport of SQLyes infoSQL92SQL-like DML and DDL statementsnoyesyes
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
ODBC
.NET Client APIADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C#
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnonoR packages
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CorenoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Source-replica replication
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 configurationImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnonoACIDACID
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 levelsnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
MarkLogicSpark SQLSTSdbTeradata AsterYaacomo
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