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DBMS > Adabas vs. IBM Db2 Event Store vs. Kinetica vs. Microsoft Access vs. OpenMLDB

System Properties Comparison Adabas vs. IBM Db2 Event Store vs. Kinetica vs. Microsoft Access vs. OpenMLDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformDistributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)An open-source machine learning database that provides a feature platform for training and inference
Primary database modelMultivalue DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessopenmldb.ai
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comdeveloper.microsoft.com/­en-us/­accessopenmldb.ai/­docs/­zh/­main
DeveloperSoftware AGIBMKineticaMicrosoft4 Paradigm Inc.
Initial release19712017201219922020
Current release2.07.1, August 20211902 (16.0.11328.20222), March 20192024-2 February 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, C++C++C++, Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux infoLinux, macOS, Windows for the developer additionLinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesyesyesyesFixed schema
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
SQLAlchemy
Supported programming languagesNaturalC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresin Naturalyesuser defined functionsyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorActive-active shard replicationSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"IBM Db2 Event StoreKineticaMicrosoft AccessOpenMLDB
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