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DBMS > Amazon CloudSearch vs. Cachelot.io vs. Realm

System Properties Comparison Amazon CloudSearch vs. Cachelot.io vs. Realm

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCachelot.io  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIn-memory caching systemA mobile DBMS often used as a replacement for SQLite
Primary database modelSearch engineKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#93  Overall
#10  Search engines
Score0.00
Rank#343  Overall
#62  Key-value stores
Score7.92
Rank#44  Overall
#27  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcachelot.iorealm.io
Technical documentationdocs.aws.amazon.com/­cloudsearchrealm.io/­docs
DeveloperAmazonRealm, acquired by MongoDB in May 2019
Initial release201220152014
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD Licensecommercial infoLicenses are free. Parts are open sourced.
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedFreeBSD
Linux
OS X
server-less
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIMemcached protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realm
User concepts infoAccess controlauthentication via encrypted signaturesnono

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More resources
Amazon CloudSearchCachelot.ioRealm
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Recent citations in the news

Enterprise Semantic Search Software Market 2019- 2025 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene and Attivio
15 October 2019, Market Report Gazette

Enterprise Search Software Market Projected to Witness Vigorous Expansion by 2019-2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
17 September 2019, Market Expert

Enterprise Search Software Market 2019 Valuable Growth Prospects and Upcoming Trends till 2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
1 October 2019, Market Expert

Global Enterprise Semantic Search Software Market Analysis, By Product, By Method And Segment Forecasts 2019-2024
25 September 2019, News Coed

Global Enterprise Search Software Market 2019 Positive Demand – Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems
14 October 2019, Mach Tribune

provided by Google News

Realm Makes PostgreSQL Real-Time with New Connector
21 March 2017, Database Trends and Applications

Realm Receives Investment from Ericsson Ventures to Advance Development of Edge Computing Solutions
21 September 2017, Business Wire

Realm explains the benefits of real-time collaboration for mobile apps
24 October 2016, App Developer Magazine

Realm Launches Realm Mobile Platform Professional Edition to Drive Collaborative Realtime Applications
12 December 2016, Business Wire

Realm Platform 2.0 Is Significant Step Forward for Building Responsive and Real-Time Mobile Applications
17 October 2017, Business Wire

provided by Google News

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