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DBMS > Amazon CloudSearch vs. Amazon SimpleDB vs. BigchainDB vs. Brytlyt vs. Oracle Berkeley DB

System Properties Comparison Amazon CloudSearch vs. Amazon SimpleDB vs. BigchainDB vs. Brytlyt vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWidely used in-process key-value store
Primary database modelSearch engineKey-value storeDocument storeRelational DBMSKey-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
Score1.85
Rank#137  Overall
#12  Search engines
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­simpledbwww.bigchaindb.combrytlyt.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iodocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonAmazonBrytlytOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122007201620161994
Current release5.0, August 202318.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedLinuxLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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 infospecific XML-type available, but no XML query functionality.yes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoall search fields are automatically indexedyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnononoyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP APIRESTful HTTP APICLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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 proceduresnonouser defined functions infoin PL/pgSQLno
Triggersnonoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoSharding must be implemented in the applicationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
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 for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchAmazon SimpleDBBigchainDBBrytlytOracle Berkeley DB
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