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DBMS > Amazon CloudSearch vs. CouchDB vs. Databend vs. Firebase Realtime Database vs. LevelDB

System Properties Comparison Amazon CloudSearch vs. CouchDB vs. Databend vs. Firebase Realtime Database vs. LevelDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabend  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelSearch engineDocument storeRelational DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score7.46
Rank#51  Overall
#7  Document stores
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Websiteaws.amazon.com/­cloudsearchcouchdb.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
firebase.google.com/­products/­realtime-databasegithub.com/­google/­leveldb
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.couchdb.org/­en/­stabledocs.databend.comfirebase.google.com/­docs/­databasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabend LabsGoogle infoacquired by Google 2014Google
Initial release20122005202120122011
Current release3.3.3, December 20231.0.59, April 20231.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangRustC++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
hostedIllumos
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononono
Secondary indexesyes infoall search fields are automatically indexedyes infovia viewsnoyesno
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsHTTP APIRESTful HTTP/JSON APICLI Client
JDBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
JavaScript (Node.js)
Python
Rust
Java
JavaScript
Objective-C
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnoView functions in JavaScriptnolimited functionality with using 'rules'no
TriggersnoyesnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoimproved architecture with release 2.0nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
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 signaturesAccess rights for users can be defined per databaseUsers with fine-grained authorization concept, user rolesyes, based on authentication and database rulesno

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More resources
Amazon CloudSearchCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabendFirebase Realtime DatabaseLevelDB
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