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DBMS > EJDB vs. Faircom EDGE vs. Graph Engine vs. Hive

System Properties Comparison EJDB vs. Faircom EDGE vs. Graph Engine vs. Hive

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument storeKey-value store
Relational DBMS
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgewww.graphengine.iohive.apache.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperSoftmotionsFairCom CorporationMicrosoftApache Software Foundation infoinitially developed by Facebook
Initial release2012197920102012
Current releaseV3, October 20203.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++.NET and CJava
Server operating systemsserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
.NETAll OS with a Java VM
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes, 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 indexesnoyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesnoSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesyes infouser defined functions and integration of map-reduce
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles

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More resources
EJDBFaircom EDGE infoformerly c-treeEDGEGraph Engine infoformer name: TrinityHive
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