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DBMS > MarkLogic vs. Microsoft Azure Synapse Analytics vs. STSdb vs. TimescaleDB

System Properties Comparison MarkLogic vs. Microsoft Azure Synapse Analytics vs. STSdb vs. TimescaleDB

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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 comparisonSTSdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.marklogic.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­STSSoft/­STSdb4www.timescale.com
Technical documentationdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.timescale.com
DeveloperMarkLogic Corp.MicrosoftSTS Soft SCTimescale
Initial release2001201620112017
Current release11.0, December 20224.0.8, September 20152.13.0, November 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C#C
Server operating systemsLinux
OS X
Windows
hostedWindowsLinux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoSQL92yesnoyes infofull PostgreSQL SQL syntax
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
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptTransact SQLnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDnoACID
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 levelsyesnofine grained access rights according to SQL-standard

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MarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSTSdbTimescaleDB
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