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DBMS > Faircom EDGE vs. GeoMesa vs. Teradata Aster vs. TinkerGraph vs. Titan

System Properties Comparison Faircom EDGE vs. GeoMesa vs. Teradata Aster vs. TinkerGraph vs. Titan

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeoMesa  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTitan  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGeoMesa 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 APITitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Relational DBMS
Spatial DBMSRelational DBMSGraph DBMSGraph 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
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.geomesa.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­thinkaurelius/­titan
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperFairCom CorporationCCRi and othersTeradataAurelius, owned by DataStax
Initial release19792014200520092012
Current releaseV3, October 20205.0.0, May 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ScalaJavaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freeyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesnoyesnono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Java
Python
R
Groovy
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noR packagesnoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningdepending on storage layerShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsdepending on storage layeryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworknoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
depending on storage layerImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnonoyes infoRelationships in graphsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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.yes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Server

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More resources
Faircom EDGE infoformerly c-treeEDGEGeoMesaTeradata AsterTinkerGraphTitan
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