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DBMS > Adabas vs. Apache IoTDB vs. Ingres vs. Microsoft Azure AI Search vs. Transbase

System Properties Comparison Adabas vs. Apache IoTDB vs. Ingres vs. Microsoft Azure AI Search vs. Transbase

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkWell established RDBMSSearch-as-a-service for web and mobile app developmentA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelMultivalue DBMSTime Series DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orgwww.actian.com/­databases/­ingresazure.microsoft.com/­en-us/­services/­searchwww.transaction.de/­en/­products/­transbase.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.actian.com/­ingreslearn.microsoft.com/­en-us/­azure/­searchwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSoftware AGApache Software FoundationActian CorporationMicrosoftTransaction Software GmbH
Initial release197120181974 infooriginally developed at University Berkely in early 1970s20151987
Current release1.1.0, April 202311.2, May 2022V1Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageyesnoyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
Native API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesNaturalC
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresin Naturalyesyesnoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasIngres Replicatoryes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.noyesnonono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBIngresMicrosoft Azure AI SearchTransbase
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