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DBMS > Amazon CloudSearch vs. Coveo vs. Oracle Berkeley DB vs. Transbase

System Properties Comparison Amazon CloudSearch vs. Coveo vs. Oracle Berkeley DB vs. Transbase

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCoveo  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentWidely used in-process key-value storeA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSearch engineSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score2.34
Rank#117  Overall
#11  Search engines
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.coveo.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.coveo.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazonCoveoOracle infooriginally developed by Sleepycat, which was acquired by OracleTransaction Software GmbH
Initial release2012201219941987
Current release18.1.40, May 2020Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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)C and C++
Server operating systemshostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnonoyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsHTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Java
JavaScript
Python
.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
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnoyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlauthentication via encrypted signaturesgranular access controls, API key management, content filtersnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchCoveoOracle Berkeley DBTransbase
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