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DBMS > MarkLogic vs. Microsoft Azure Table Storage vs. OpenEdge vs. Realm vs. Trafodion

System Properties Comparison MarkLogic vs. Microsoft Azure Table Storage vs. OpenEdge vs. Realm vs. Trafodion

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Wide column storeRelational DBMSDocument storeRelational 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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.marklogic.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgerealm.iotrafodion.apache.org
Technical documentationdocs.marklogic.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docstrafodion.apache.org/­documentation.html
DeveloperMarkLogic Corp.MicrosoftProgress Software CorporationRealm, acquired by MongoDB in May 2019Apache Software Foundation, originally developed by HP
Initial release20012012198420142014
Current release11.0, December 2022OpenEdge 12.2, March 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java
Server operating systemsLinux
OS X
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-free infoSchema can be enforcedschema-freeyesyesyes
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.yesnoyesnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoSQL92noyes infoclose to SQL 92noyes
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
RESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Java infowith Android only
Objective-C
React Native
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoyesno inforuns within the applications so server-side scripts are unnecessaryJava Stored Procedures
Triggersyesnoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoIn-Memory realmno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsAccess rights based on private key authentication or shared access signaturesUsers and groupsyesfine grained access rights according to SQL-standard

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More resources
MarkLogicMicrosoft Azure Table StorageOpenEdgeRealmTrafodion
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