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DBMS > Faircom EDGE vs. FatDB vs. TypeDB

System Properties Comparison Faircom EDGE vs. FatDB vs. TypeDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.TypeDB is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#287  Overall
#42  Key-value stores
#133  Relational DBMS
Score0.83
Rank#193  Overall
#17  Graph DBMS
#96  Relational DBMS
Websitewww.faircom.com/­products/­faircomedge-iot-databasevaticle.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorydocs.vaticle.com
DeveloperFairCom CorporationFatCloudGrakn Labs / Vaticle
Initial release197920122016
Current releaseV3, October 20202.3, July 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C#Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyes, 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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesno infoVia inetgration in SQL Serverno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infovia applicationsno
Triggersyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factorMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Faircom EDGE infoformerly c-treeEDGEFatDBTypeDB infoformerly named Grakn
Specific characteristicsFairCom EDGE provides the power of a full-featured database that is designed specifically...
» more
TypeDB is a database technology that serves as the knowledge base foundation to intelligent...
» more
Competitive advantagesTop Features JSON Multimodel SQL and NoSQL APIs Automatic database tuning Custom...
» more
Expressive and flexible data model: The meta-schema of TypeDB allows for modelling...
» more
Typical application scenariosFairCom EDGE can be deployed at or near the data collection point (sensors) and used...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersUPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell Automation,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom EDGE are flexible to meet operation requirements,...
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
Faircom EDGE infoformerly c-treeEDGEFatDBTypeDB infoformerly named Grakn
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