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DBMS > Faircom EDGE vs. Geode vs. Heroic vs. Teradata Aster

System Properties Comparison Faircom EDGE vs. Geode vs. Heroic vs. Teradata Aster

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  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.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgegeode.apache.orggithub.com/­spotify/­heroic
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgeode.apache.org/­docsspotify.github.io/­heroic
DeveloperFairCom CorporationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SpotifyTeradata
Initial release1979200220142005
Current releaseV3, October 20201.1, February 2017
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaJava
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeFlexible 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 dateyes, ANSI Standard SQL Typesyesyesyes
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 infoin Aster File Store
Secondary indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like query language (OQL)noyes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsnoR packages
Triggersyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationyesyes 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 Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
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.yesyesnono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEGeodeHeroicTeradata Aster
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