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DBMS > 4D vs. Adabas vs. Kinetica vs. Microsoft Azure Data Explorer

System Properties Comparison 4D vs. Adabas vs. Kinetica vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAdabas infodenotes "adaptable data base"  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFully vectorized database across both GPUs and CPUsFully managed big data interactive analytics platform
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitewww.4d.comwww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.kinetica.comazure.microsoft.com/­services/­data-explorer
Technical documentationdeveloper.4d.comdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­data-explorer
Developer4D, IncSoftware AGKineticaMicrosoft
Initial release1984197120122019
Current releasev20, April 20237.1, August 2021cloud service with continuous releases
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++
Server operating systemsOS X
Windows
BS2000
Linux
Unix
Windows
z/OS
z/VSE
Linuxhosted
Data schemeyesyesyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.yesnonoyes
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith add-on product Adabas SQL GatewaySQL-like DML and DDL statementsKusto Query Language (KQL), SQL subset
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
NaturalC++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyesin Naturaluser defined functionsYes, possible languages: KQL, Python, R
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnoneyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with add-on product Event ReplicatorSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlUsers and groupsonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and roles on table levelAzure Active Directory Authentication

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More resources
4D infoformer name: 4th DimensionAdabas infodenotes "adaptable data base"KineticaMicrosoft Azure Data Explorer
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