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DBMS > Faircom EDGE vs. Fujitsu Enterprise Postgres vs. GeoMesa vs. Teradata Aster vs. TinkerGraph

System Properties Comparison Faircom EDGE vs. Fujitsu Enterprise Postgres vs. GeoMesa vs. Teradata Aster vs. TinkerGraph

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Platform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Relational DBMSSpatial DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.postgresql.fastware.comwww.geomesa.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.postgresql.fastware.com/­product-manualswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperFairCom CorporationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCCRi and othersTeradata
Initial release1979201420052009
Current releaseV3, October 2020Fujitsu Enterprise Postgres 14, January 20225.0.0, May 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++CScalaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyesyes
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoANSI SQL queriesyesnoyesno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsnoR packagesno
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningpartitioning by range, list and by hashdepending on storage layerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationdepending on storage layeryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistencydepending on storage layerImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyes infowhen using SQLyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layernoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardno

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More resources
Faircom EDGE infoformerly c-treeEDGEFujitsu Enterprise PostgresGeoMesaTeradata AsterTinkerGraph
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