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DBMS > EsgynDB vs. Microsoft Azure Synapse Analytics vs. PostGIS vs. SAP Advantage Database Server

System Properties Comparison EsgynDB vs. Microsoft Azure Synapse Analytics vs. PostGIS vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQLLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelRelational DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Websitewww.esgyn.cnazure.microsoft.com/­services/­synapse-analyticspostgis.netwww.sap.com/products/advantage-database-server.html
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentation
DeveloperEsgynMicrosoftSybase, SAP
Initial release2015201620051993
Current release3.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++C
Server operating systemsLinuxhostedLinux
Windows
Data schemeyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
PHP
Delphi
Perl
PHP
Server-side scripts infoStored proceduresJava Stored ProceduresTransact SQLuser defined functionsyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyes infobased on PostgreSQLMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.nonono infocaching of (temporary) tables can be configured
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes infobased on PostgreSQLfine grained access rights according to SQL-standard

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More resources
EsgynDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGISSAP Advantage Database Server infoformer name: Sybase ADS
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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