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DBMS > Amazon CloudSearch vs. Firebase Realtime Database vs. Lovefield vs. Microsoft Azure Table Storage vs. Solr

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database vs. Lovefield vs. Microsoft Azure Table Storage vs. Solr

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSolr  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.Embeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineDocument storeRelational DBMSWide column storeSearch engine
Secondary database modelsSpatial 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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablessolr.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsolr.apache.org/­resources.html
DeveloperAmazonGoogle infoacquired by Google 2014GoogleMicrosoftApache Software Foundation
Initial release20122012201420122006
Current release2.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyes infoall search fields are automatically indexedyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL Interface
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nonoJava plugins
TriggersnoCallbacks are triggered when data changesUsing read-only observersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDoptimistic lockingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesnoAccess rights based on private key authentication or shared access signaturesyes

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More resources
Amazon CloudSearchFirebase Realtime DatabaseLovefieldMicrosoft Azure Table StorageSolr
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