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DBMS > Graph Engine vs. Microsoft Azure Synapse Analytics vs. SAP IQ vs. SiteWhere vs. Spark SQL

System Properties Comparison Graph Engine vs. Microsoft Azure Synapse Analytics vs. SAP IQ vs. SiteWhere vs. Spark SQL

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerColumnar RDBMS optimized for Big Data analyticsM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMS infocolumn-orientedTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlgithub.com/­sitewhere/­sitewherespark.apache.org/­sql
Technical documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_IQsitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftMicrosoftSAP, formerly SybaseSiteWhereApache Software Foundation
Initial release20102016199420102014
Current release16.1 SPS04, April 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++JavaScala
Server operating systems.NEThostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesyesnoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
C#
Java
PHP
C
C#
C++
Java
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesTransact SQLyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningshared disk or shared nothing architectures with SAP IQ MultiplexerSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSAP/Sybase Replication Serverselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
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-constraintsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno

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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP IQ infoformer name: Sybase IQSiteWhereSpark SQL
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