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DBMS > MarkLogic vs. OpenEdge vs. OushuDB vs. Spark SQL vs. Teradata Aster

System Properties Comparison MarkLogic vs. OpenEdge vs. OushuDB vs. Spark SQL vs. Teradata Aster

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonOpenEdge  Xexclude from comparisonOushuDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  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 databaseApplication development environment with integrated database management systemA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSpark SQL is a component on top of 'Spark Core' for structured data processingPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSRelational 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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.progress.com/­marklogicwww.progress.com/­openedgewww.oushu.com/­product/­oushuDBspark.apache.org/­sql
Technical documentationwww.progress.com/­marklogic/­documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.oushu.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMarkLogic Corp.Progress Software CorporationOushuApache Software FoundationTeradata
Initial release2001198420142005
Current release11.0, December 2022OpenEdge 12.2, March 20204.0.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercialOpen Source infoApache 2.0commercial
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++Scala
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeschema-free infoSchema can be enforcedyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesnoyes infoin Aster File Store
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoSQL92yes infoclose to SQL 92Full-featured ANSI SQL supportSQL-like DML and DDL statementsyes
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
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C
C++
Java
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyesyesnoR packages
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4yesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoHadoop integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
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 transactionACIDACIDnoACID
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 Indexesnonono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers and groupsKerberos, SSL and role based accessnofine grained access rights according to SQL-standard

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More resources
MarkLogicOpenEdgeOushuDBSpark SQLTeradata Aster
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