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DBMS > Amazon CloudSearch vs. Firebase Realtime Database vs. Hawkular Metrics vs. RDF4J vs. Tibero

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database vs. Hawkular Metrics vs. RDF4J vs. Tibero

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A secure RDBMS, designed for easy portability from Oracle
Primary database modelSearch engineDocument storeTime Series DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasewww.hawkular.orgrdf4j.orgus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasewww.hawkular.org/­hawkular-metrics/­docs/­user-guiderdf4j.org/­documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAmazonGoogle infoacquired by Google 2014Community supported by Red HatSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TmaxSoft
Initial release20122012201420042003
Current release6, April 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and Assembler
Server operating systemshostedhostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyesnoyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP RESTJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
Python
Ruby
Java
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noyesPersistent Stored Procedure (PSM)
TriggersnoCallbacks are triggered when data changesyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on Cassandranonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor infobased on CassandranoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono infoplanned for next version
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesnonofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Amazon CloudSearchFirebase Realtime DatabaseHawkular MetricsRDF4J infoformerly known as SesameTibero
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