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DBMS > Blazegraph vs. EJDB vs. Faircom EDGE vs. GigaSpaces

System Properties Comparison Blazegraph vs. EJDB vs. Faircom EDGE vs. GigaSpaces

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGigaSpaces  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Embeddable 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 environmentsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelGraph DBMS
RDF store
Document storeKey-value store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteblazegraph.comgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edgewww.gigaspaces.com
Technical documentationwiki.blazegraph.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.gigaspaces.com/­latest/­landing.html
DeveloperBlazegraphSoftmotionsFairCom CorporationGigaspaces Technologies
Initial release2006201219792000
Current release2.1.5, March 2019V3, October 202015.5, September 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCANSI C, C++Java, C++, .Net
Server operating systemsLinux
OS X
Windows
server-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Typesyes
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 infoXML can be used for describing objects metadata
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoANSI SQL queriesSQL-99 for query and DML statements
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
in-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresyesnoyes info.Net, JavaScript, C/C++yes
Triggersnonoyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes infoRelationships in Graphsno infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access control

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More resources
BlazegraphEJDBFaircom EDGE infoformerly c-treeEDGEGigaSpaces
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