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DBMS > Amazon CloudSearch vs. Firebase Realtime Database vs. IBM Db2 warehouse vs. Rockset vs. Solr

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database vs. IBM Db2 warehouse vs. Rockset vs. Solr

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRockset  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.Cloud-based data warehousing serviceA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineDocument storeRelational DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
Spatial 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
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2/­warehouserockset.comsolr.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasedocs.rockset.comsolr.apache.org/­resources.html
DeveloperAmazonGoogle infoacquired by Google 2014IBMRocksetApache Software Foundation
Initial release20122012201420192006
Current release9.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedhostedhostedhostedAll 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 dateyesyesyesdynamic typingyes 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.nono infoImport/export of XML data possibleno infoingestion from XML files supportedyes
Secondary indexesyes infoall search fields are automatically indexedyesyesall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyesRead-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
.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'PL/SQL, SQL PLnoJava plugins
TriggersnoCallbacks are triggered when data changesyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyesyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rulesfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleyes

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More resources
Amazon CloudSearchFirebase Realtime DatabaseIBM Db2 warehouse infoformerly named IBM dashDBRocksetSolr
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