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DBMS > Microsoft Azure Synapse Analytics vs. Postgres-XL vs. WakandaDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. Postgres-XL vs. WakandaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.postgres-xl.orgwakanda.github.io
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentationwakanda.github.io/­doc
DeveloperMicrosoftWakanda SAS
Initial release20162014 infosince 2012, originally named StormDB2012
Current release10 R1, October 20182.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++, JavaScript
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyes
SQL infoSupport of SQLyesyes infodistributed, parallel query executionno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesC#
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresTransact SQLuser defined functionsyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno 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 dataACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgres-XLWakandaDB
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