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DBMS > MarkLogic vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Riak KV

System Properties Comparison MarkLogic vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Riak KV

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, fault tolerant key-value store
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.progress.com/­marklogicazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.org
Technical documentationwww.progress.com/­marklogic/­documentationdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperMarkLogic Corp.MicrosoftOpenSource, formerly Basho Technologies
Initial release200120162014 infosince 2012, originally named StormDB2009
Current release11.0, December 202210 R1, October 20183.2.0, December 2022
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoMozilla public licenseOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CErlang
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Linux
OS X
Data schemeschema-free infoSchema can be enforcedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLyes infoSQL92yesyes infodistributed, parallel query executionno
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
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptTransact SQLuser defined functionsErlang
Triggersyesnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesfine grained access rights according to SQL-standardyes, using Riak Security

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More resources
MarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLRiak KV
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