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DBMS > Amazon CloudSearch vs. Faircom EDGE vs. Hazelcast vs. RDF4J

System Properties Comparison Amazon CloudSearch vs. Faircom EDGE vs. Hazelcast vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHazelcast  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA widely adopted in-memory data gridRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelSearch engineKey-value store
Relational DBMS
Key-value storeRDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­cloudsearchwww.faircom.com/­products/­faircom-edgehazelcast.comrdf4j.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsrdf4j.org/­documentation
DeveloperAmazonFairCom CorporationHazelcastSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012197920082004
Current releaseV3, October 20205.3.6, November 2023
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaJava
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes, 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.yesyes infothe object must implement a serialization strategy
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesSQL-like query languageno
APIs and other access methodsHTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infoEvent Listeners, Executor Servicesyes
Triggersnoyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlno

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More resources
Amazon CloudSearchFaircom EDGE infoformerly c-treeEDGEHazelcastRDF4J infoformerly known as Sesame
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