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DBMS > Amazon CloudSearch vs. FeatureBase vs. Firebase Realtime Database vs. OrigoDB vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. FeatureBase vs. Firebase Realtime Database vs. OrigoDB vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFeatureBase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSDocument storeDocument store
Object oriented DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­cloudsearchwww.featurebase.comfirebase.google.com/­products/­realtime-databaseorigodb.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.featurebase.comfirebase.google.com/­docs/­databaseorigodb.com/­docssphinxsearch.com/­docs
DeveloperAmazonMolecula and Pilosa Open Source ContributorsGoogle infoacquired by Google 2014Robert Friberg et alSphinx Technologies Inc.
Initial release2012201720122009 infounder the name LiveDB2001
Current release2022, May 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#C++
Server operating systemshostedLinux
macOS
hostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
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 infocan be achieved using .NET
Secondary indexesyes infoall search fields are automatically indexednoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL queriesnonoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIgRPC
JDBC
Kafka Connector
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Proprietary protocol
Supported programming languagesJava
Python
Java
JavaScript
Objective-C
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesno
TriggersnonoCallbacks are triggered when data changesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes infoWrite ahead logyes 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.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesRole based authorizationno

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More resources
Amazon CloudSearchFeatureBaseFirebase Realtime DatabaseOrigoDBSphinx
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