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DBMS > Amazon CloudSearch vs. Badger

System Properties Comparison Amazon CloudSearch vs. Badger

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBadger  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.
Primary database modelSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.50
Rank#97  Overall
#10  Search engines
Score0.07
Rank#304  Overall
#53  Key-value stores
Websiteaws.amazon.com/­cloudsearchgithub.com/­dgraph-io/­badger
Technical documentationdocs.aws.amazon.com/­cloudsearchgodoc.org/­github.com/­dgraph-io/­badger
DeveloperAmazonDGraph Labs
Initial release20122017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.no
Secondary indexesyes infoall search fields are automatically indexedno
SQL infoSupport of SQLnono
APIs and other access methodsHTTP API
Supported programming languagesGo
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchBadger
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

Enterprise Semantic Search Software Market is Expected to Generate Huge Acquisition | Major Vendors – SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch
20 September 2019, techtiding

Biggest innovation by Enterprise Search Software Market 2019-2026 | key players- Swif type, Algolia, Elasticsearch, Apache Solr, Search Spring
19 September 2019, Market Research Report

Uk Enterprise Semantic Search Software Market Analysis and Growth 2026 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
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3 September 2019, Technology News

Enterprise Search Software Market Analysis of the Global Application Portfolio by Top Vendors- SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle and Forecast 2019 - 2023
27 August 2019, Tribune City

provided by Google News

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

provided by Google News

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