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DBMS > Amazon CloudSearch vs. Cubrid vs. Firebase Realtime Database vs. Rockset vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. Cubrid vs. Firebase Realtime Database vs. Rockset vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCubrid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSDocument storeDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­cloudsearchcubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­realtime-databaserockset.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcubrid.org/­manualsfirebase.google.com/­docs/­databasedocs.rockset.comsphinxsearch.com/­docs
DeveloperAmazonCUBRID Corporation, CUBRID FoundationGoogle infoacquired by Google 2014RocksetSphinx Technologies Inc.
Initial release20122008201220192001
Current release11.0, January 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C++
Server operating systemshostedLinux
Windows
hostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingno
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.nonono infoingestion from XML files supported
Secondary indexesyes infoall search fields are automatically indexedyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
OLE DB
Android
iOS
JavaScript API
RESTful HTTP API
HTTP RESTProprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Procedureslimited functionality with using 'rules'nono
TriggersnoyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Amazon CloudSearchCubridFirebase Realtime DatabaseRocksetSphinx
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