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DBMS > Amazon CloudSearch vs. IRONdb vs. KeyDB vs. Vitess

System Properties Comparison Amazon CloudSearch vs. IRONdb vs. KeyDB vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonIRONdb  Xexclude from comparisonKeyDB  Xexclude from comparisonVitess  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.circonus.com/solutions/time-series-database/github.com/­Snapchat/­KeyDB
keydb.dev
vitess.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.circonus.com/irondb/category/getting-starteddocs.keydb.devvitess.io/­docs
DeveloperAmazonCirconus LLC.EQ Alpha Technology Ltd.The Linux Foundation, PlanetScale
Initial release2012201720192013
Current releaseV0.10.20, January 201815.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Go
Server operating systemshostedLinuxLinuxDocker
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramspartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexednoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infowith proprietary extensions
APIs and other access methodsHTTP APIHTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, in LuaLuayes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scriptsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesnosimple password-based access control and ACLUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon CloudSearchIRONdbKeyDBVitess
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