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DBMS > Adabas vs. EsgynDB vs. Faircom EDGE vs. Microsoft Azure AI Search vs. RDF4J

System Properties Comparison Adabas vs. EsgynDB vs. Faircom EDGE vs. Microsoft Azure AI Search vs. RDF4J

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsSearch-as-a-service for web and mobile app developmentRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelMultivalue DBMSRelational DBMSKey-value store
Relational DBMS
Search engineRDF store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.esgyn.cnwww.faircom.com/­products/­faircom-edgeazure.microsoft.com/­en-us/­services/­searchrdf4j.org
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmllearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentation
DeveloperSoftware AGEsgynFairCom CorporationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19712015197920152004
Current releaseV3, October 2020V1
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaANSI C, C++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyes infoANSI SQL queriesnono
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
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesNaturalAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Java
JavaScript
Python
Java
PHP
Python
Server-side scripts infoStored proceduresin NaturalJava Stored Proceduresyes info.Net, JavaScript, C/C++noyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingFile partitioning infoCustomizable business rules for partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infousing Azure authenticationno

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More resources
Adabas infodenotes "adaptable data base"EsgynDBFaircom EDGE infoformerly c-treeEDGEMicrosoft Azure AI SearchRDF4J infoformerly known as Sesame
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