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DBMS > Ingres vs. InterSystems IRIS vs. Microsoft Azure Synapse Analytics vs. Splice Machine vs. Transwarp KunDB

System Properties Comparison Ingres vs. InterSystems IRIS vs. Microsoft Azure Synapse Analytics vs. Splice Machine vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionWell established RDBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitewww.actian.com/­databases/­ingreswww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­synapse-analyticssplicemachine.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.actian.com/­ingresdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-works
DeveloperActian CorporationInterSystemsMicrosoftSplice MachineTranswarp
Initial release1974 infooriginally developed at University Berkely in early 1970s201820162014
Current release11.2, May 20222023.3, June 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageCC++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesdepending on used data modelyesyesyes
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 availableyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyesyesyes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesTransact SQLyes infoJavayes
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno 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 dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyesAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
IngresInterSystems IRISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice MachineTranswarp KunDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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IngresInterSystems IRISMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice MachineTranswarp KunDB
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