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DBMS > Citus vs. Faircom EDGE vs. FoundationDB

System Properties Comparison Citus vs. Faircom EDGE vs. FoundationDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOrdered key-value store. Core features are complimented by layers.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Websitewww.citusdata.comwww.faircom.com/­products/­faircom-edgegithub.com/­apple/­foundationdb
Technical documentationdocs.citusdata.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlapple.github.io/­foundationdb
DeveloperFairCom CorporationFoundationDB
Initial release201019792013
Current release8.1, December 2018V3, October 20206.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoRestricted, free version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++C++
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesno infosome layers support typing
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.yes infospecific XML type available, but no XML query functionalityyes
Secondary indexesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infoANSI SQL queriessupported in specific SQL layer only
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++in SQL-layer only
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Linearizable consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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More resources
CitusFaircom EDGE infoformerly c-treeEDGEFoundationDB
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