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DBMS > Amazon CloudSearch vs. Oracle Berkeley DB

System Properties Comparison Amazon CloudSearch vs. Oracle Berkeley DB

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Our visitors often compare Amazon CloudSearch and Oracle Berkeley DB with Amazon DynamoDB, Oracle and Google Cloud Datastore.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudWidely used in-process key-value store
Primary database modelSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.67
Rank#102  Overall
#9  Search engines
Score3.40
Rank#86  Overall
#15  Key-value stores
#2  Native XML DBMS
Websiteaws.amazon.com/­cloudsearchwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20121994
Current release18.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infocommercial license available
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 languageC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
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.yes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP API
Supported programming languages.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnono
Triggersnoyes infoonly for the SQL API
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 AWSMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes
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 signaturesno

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More resources
Amazon CloudSearchOracle Berkeley DB
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