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DBMS > Faircom EDGE vs. Hive vs. TigerGraph

System Properties Comparison Faircom EDGE vs. Hive vs. TigerGraph

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHive  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsdata warehouse software for querying and managing large distributed datasets, built on HadoopA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.faircom.com/­products/­faircom-edgehive.apache.orgwww.tigergraph.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.tigergraph.com
DeveloperFairCom CorporationApache Software Foundation infoinitially developed by Facebook
Initial release197920122017
Current releaseV3, October 20203.1.3, April 2022
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2commercial
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++JavaC++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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 indexesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyes infoRelationships in graphs
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.Access rights for users, groups and rolesRole-based access control

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More resources
Faircom EDGE infoformerly c-treeEDGEHiveTigerGraph
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