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DBMS > Adabas vs. Faircom EDGE vs. SiteWhere vs. Teradata Aster

System Properties Comparison Adabas vs. Faircom EDGE vs. SiteWhere vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSiteWhere  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsM2M integration platform for persisting/querying time series dataPlatform for big data analytics on multistructured data sources and types
Primary database modelMultivalue DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.faircom.com/­products/­faircom-edgegithub.com/­sitewhere/­sitewhere
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlsitewhere1.sitewhere.io/­index.html
DeveloperSoftware AGFairCom CorporationSiteWhereTeradata
Initial release1971197920102005
Current releaseV3, October 2020
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)predefined schemeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes, 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.noyesnoyes infoin Aster File Store
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infoANSI SQL queriesnoyes
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
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesNaturalC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresin Naturalyes info.Net, JavaScript, C/C++R packages
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaFile partitioning infoCustomizable business rules for partitioningSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Faircom EDGE infoformerly c-treeEDGESiteWhereTeradata Aster
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