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DBMS > Faircom EDGE vs. JanusGraph vs. Kinetica vs. Netezza

System Properties Comparison Faircom EDGE vs. JanusGraph vs. Kinetica vs. Netezza

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 2017Fully vectorized database across both GPUs and CPUsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgejanusgraph.orgwww.kinetica.comwww.ibm.com/­products/­netezza
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.janusgraph.orgdocs.kinetica.com
DeveloperFairCom CorporationLinux Foundation; originally developed as Titan by AureliusKineticaIBM
Initial release1979201720122000
Current releaseV3, October 20201.0.0, October 20237.1, August 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercialcommercial
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++JavaC, C++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
LinuxLinux infoincluded in appliance
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesnoSQL-like DML and DDL statementsyes
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
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yesuser defined functionsyes
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
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)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infowhen using SQLyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
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 ServerAccess rights for users and roles on table levelUsers with fine-grained authorization concept

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More resources
Faircom EDGE infoformerly c-treeEDGEJanusGraph infosuccessor of TitanKineticaNetezza infoAlso called PureData System for Analytics by IBM
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