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DBMS > Amazon CloudSearch vs. KeyDB vs. Solr vs. SQL.JS vs. Teradata

System Properties Comparison Amazon CloudSearch vs. KeyDB vs. Solr vs. SQL.JS vs. Teradata

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonKeyDB  Xexclude from comparisonSolr  Xexclude from comparisonSQL.JS  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA widely used distributed, scalable search engine based on Apache LucenePort of SQLite to JavaScriptA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineKey-value storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score42.91
Rank#24  Overall
#3  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­Snapchat/­KeyDB
keydb.dev
solr.apache.orgsql.js.orgwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.keydb.devsolr.apache.org/­resources.htmlsql.js.org/­documentation/­index.htmldocs.teradata.com
DeveloperAmazonEQ Alpha Technology Ltd.Apache Software FoundationAlon Zakai infoenhancements implemented by othersTeradata
Initial release20122019200620121984
Current release9.6.0, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScript
Server operating systemshostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infosupports customizable data types and automatic typingyesyes
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.noyesnoyes
Secondary indexesyes infoall search fields are automatically indexedyes infoby using the Redis Search moduleyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceyes infoSQL-92 is not fully supportedyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIProprietary protocol infoRESP - REdis Serialization ProtocoJava API
RESTful HTTP/JSON API
JavaScript API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
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
JavaScriptC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoLuaJava pluginsnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
yesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturessimple password-based access control and ACLyesnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchKeyDBSolrSQL.JSTeradata
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