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DBMS > Amazon CloudSearch vs. Amazon SimpleDB vs. BigchainDB vs. KeyDB vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. Amazon SimpleDB vs. BigchainDB vs. KeyDB vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineKey-value storeDocument storeKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#116  Overall
#10  Search engines
Score2.20
Rank#117  Overall
#22  Key-value stores
Score0.80
Rank#195  Overall
#30  Document stores
Score0.32
Rank#268  Overall
#40  Key-value stores
Score8.01
Rank#56  Overall
#6  Search engines
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­simpledbwww.bigchaindb.comgithub.com/­JohnSully/­KeyDB
keydb.dev
sphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.keydb.devsphinxsearch.com/­docs
DeveloperAmazonAmazonEQ Alpha Technology Ltd.Sphinx Technologies Inc.
Initial release20122007201620192001
Current release3.4.1, July 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3Open Source infoBSD-3Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C++
Server operating systemshostedhostedLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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
Secondary indexesyes infoall search fields are automatically indexedyes infoAll columns are indexed automaticallyyes infoby using the Redis Search moduleyes infofull-text index on all search fields
SQL infoSupport of SQLnonononoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIRESTful HTTP APICLI Client
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoProprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoLuano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoSharding must be implemented in the applicationShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoConcurrent data updates can be detected by the applicationOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes 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.yes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yessimple password-based access control and ACLno

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More resources
Amazon CloudSearchAmazon SimpleDBBigchainDBKeyDBSphinx
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