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

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

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonOpenTSDB  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 databaseScalable Time Series DBMS based on HBaseSpark 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
Time Series DBMSRelational DBMSRelational DBMSKey-value store
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
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.marklogic.comopentsdb.netspark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.marklogic.comopentsdb.net/­docs/­build/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMarkLogic Corp.currently maintained by Yahoo and other contributorsApache Software FoundationTeradataByteDance, originally Terark
Initial release20012011201420052016
Current release11.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoLGPLOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScalaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeschema-free infoSchema can be enforcedschema-freeyesFlexible 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 dateyesnumeric data for metrics, strings for tagsyesyesno
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.yesnonoyes infoin Aster File Storeno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyes infoSQL92noSQL-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
HTTP API
Telnet API
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
Erlang
Go
Java
Python
R
Ruby
Java
Python
R
Scala
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnonoR packagesno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBasenoneyes 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 infobased on HBaseImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnonoACIDno
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 Indexesnononoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnonofine grained access rights according to SQL-standardno

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More resources
MarkLogicOpenTSDBSpark SQLTeradata AsterTerarkDB
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