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DBMS > Amazon CloudSearch vs. Geode

System Properties Comparison Amazon CloudSearch vs. Geode

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeode  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
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
Score1.48
Rank#121  Overall
#21  Key-value stores
Websiteaws.amazon.com/­cloudsearchgeode.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchgeode.apache.org/­docs
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release20122002
Current release1.1, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfire
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 languageJava
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 SQLnoSQL-like query language (OQL)
APIs and other access methodsHTTP APIJava Client API
Memcached protocol
RESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single node
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.yes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights per client and object definable

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More resources
Amazon CloudSearchGeode
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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

Enterprise Search Software Market to Perceive Substantial Growth During 2018 to 2027 | Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
3 September 2019, Technology News

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

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

Enterprise Semantic Search Software Market 2019 Trends, Outlook Analysis, Segmentation By Mode of Delivery and End-Users to 2024 – All
10 September 2019, All Times Tech

provided by Google News

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