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DBMS > IBM Db2 vs. Ingres vs. Microsoft Azure Synapse Analytics vs. SiteWhere vs. Splice Machine

System Properties Comparison IBM Db2 vs. Ingres vs. Microsoft Azure Synapse Analytics vs. SiteWhere vs. Splice Machine

Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiteWhere  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerM2M integration platform for persisting/querying time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.ibm.com/­products/­db2www.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticsgithub.com/­sitewhere/­sitewheresplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2docs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticssitewhere1.sitewhere.io/­index.htmlsplicemachine.com/­how-it-works
DeveloperIBMActian CorporationMicrosoftSiteWhereSplice Machine
Initial release1983 infohost version1974 infooriginally developed at University Berkely in early 1970s201620102014
Current release12.1, October 201611.2, May 20223.1, March 2021
License infoCommercial or Open Sourcecommercial infofree version is availablecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++JavaJava
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
OS X
Windows
Linux
OS X
Solaris
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.no infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyesyesnoyes
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesTransact SQLyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux Versionhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)Ingres Replicatoryesselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
IBM Db2 infoformerly named DB2 or IBM Database 2IngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhereSplice Machine
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