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DBMS > Amazon CloudSearch vs. Apache IoTDB vs. KeyDB vs. Solr

System Properties Comparison Amazon CloudSearch vs. Apache IoTDB vs. KeyDB vs. Solr

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache IoTDB  Xexclude from comparisonKeyDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelSearch engineTime Series DBMSKey-value 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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­cloudsearchiotdb.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
solr.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.keydb.devsolr.apache.org/­resources.html
DeveloperAmazonApache Software FoundationEQ Alpha Technology Ltd.Apache Software Foundation
Initial release2012201820192006
Current release1.1.0, April 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD-3Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes 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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyesyes infoby using the Redis Search moduleyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsHTTP APIJDBC
Native API
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesLuaJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scriptsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyessimple password-based access control and ACLyes

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Amazon CloudSearchApache IoTDBKeyDBSolr
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