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DBMS > Microsoft Azure Synapse Analytics vs. MonetDB vs. Oracle vs. XTDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. MonetDB vs. Oracle vs. XTDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA relational database management system that stores data in columnsWidely used RDBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteazure.microsoft.com/­services/­synapse-analyticswww.monetdb.orgwww.oracle.com/­databasegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentationdocs.oracle.com/­en/­databasewww.xtdb.com/­docs
DeveloperMicrosoftMonetDB BVOracleJuxt Ltd.
Initial release2016200419802019
Current releaseDec2023 (11.49), December 202323c, September 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercial inforestricted free version is availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC and C++Clojure
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoSQL 2003 with some extensionsyes infowith proprietary extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST
JDBC
Supported programming languagesC#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Clojure
Java
Server-side scripts infoStored proceduresTransact SQLyes, in SQL, C, RPL/SQL infoalso stored procedures in Java possibleno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding via remote tablesSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDBOracleXTDB infoformerly named Crux
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Conferences, events and webinars

Oracle Cloud World
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