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DBMS > MarkLogic vs. Microsoft Azure Synapse Analytics vs. Splice Machine vs. YTsaurus

System Properties Comparison MarkLogic vs. Microsoft Azure Synapse Analytics vs. Splice Machine vs. YTsaurus

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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 comparisonSplice Machine  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSDocument store
Key-value store
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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitewww.marklogic.comazure.microsoft.com/­services/­synapse-analyticssplicemachine.comytsaurus.tech
Technical documentationdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-worksytsaurus.tech/­docs/­en
DeveloperMarkLogic Corp.MicrosoftSplice MachineYandex
Initial release2001201620142023
Current release11.0, December 20223.1, March 2021
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Ubuntu
Data schemeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoSQL92yesyesYQL, an SQL-based language, is supported
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
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptTransact SQLyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoYes, via Full Spark Integrationyes
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-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 Indexesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesAccess rights for users, groups and roles according to SQL-standardAccess Control Lists

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More resources
MarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice MachineYTsaurus
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