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DBMS > Faircom EDGE vs. FatDB vs. JanusGraph vs. LevelDB vs. mSQL

System Properties Comparison Faircom EDGE vs. FatDB vs. JanusGraph vs. LevelDB vs. mSQL

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLevelDB  Xexclude from comparisonmSQL infoMini SQL  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Graph DBMSKey-value storeRelational 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
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgejanusgraph.orggithub.com/­google/­leveldbhughestech.com.au/­products/­msql
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.janusgraph.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperFairCom CorporationFatCloudLinux Foundation; originally developed as Titan by AureliusGoogleHughes Technologies
Initial release19792012201720111994
Current releaseV3, October 20200.6.3, February 20231.23, February 20214.4, October 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0Open Source infoBSDcommercial infofree licenses can be provided
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++C#JavaC++C
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsLinux
OS X
Unix
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesnoyes
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.yesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesno infoVia inetgration in SQL ServernonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
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
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#Clojure
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infovia applicationsyesnono
Triggersyesyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistencynone
Foreign keys infoReferential integrityyes infowhen using SQLnoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyesno
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infowith automatic compression on writesyes
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 applicationsUser authentification and security via Rexster Graph Servernono

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More resources
Faircom EDGE infoformerly c-treeEDGEFatDBJanusGraph infosuccessor of TitanLevelDBmSQL infoMini SQL
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