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DBMS > Faircom EDGE vs. JanusGraph vs. mSQL vs. StarRocks vs. Teradata

System Properties Comparison Faircom EDGE vs. JanusGraph vs. mSQL vs. StarRocks vs. Teradata

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonStarRocks  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017mSQL (Mini SQL) is a simple and lightweight RDBMSAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgejanusgraph.orghughestech.com.au/­products/­msqlwww.starrocks.iowww.teradata.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.janusgraph.orgdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introdocs.teradata.com
DeveloperFairCom CorporationLinux Foundation; originally developed as Titan by AureliusHughes TechnologiesThe Linux Foundation infosince Feb 2023Teradata
Initial release19792017199420201984
Current releaseV3, October 20200.6.3, February 20234.4, October 20212.5.3, March 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoApache Version 2.0commercial
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++JavaCC++, Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linuxhosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
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.yesnononoyes
Secondary indexesyesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infoANSI SQL queriesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
JDBC
MySQL protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Clojure
Java
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesnouser defined functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonehorizontal partitioning (by range and hash)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesnoyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.User authentification and security via Rexster Graph ServernoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
Faircom EDGE infoformerly c-treeEDGEJanusGraph infosuccessor of TitanmSQL infoMini SQLStarRocksTeradata
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