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DBMS > Amazon CloudSearch vs. Datomic vs. FoundationDB vs. Oracle Berkeley DB vs. SiteWhere

System Properties Comparison Amazon CloudSearch vs. Datomic vs. FoundationDB vs. Oracle Berkeley DB vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSiteWhere  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.Widely used in-process key-value storeM2M integration platform for persisting/querying time series data
Primary database modelSearch engineRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.datomic.comgithub.com/­apple/­foundationdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.comapple.github.io/­foundationdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsitewhere1.sitewhere.io/­index.html
DeveloperAmazonCognitectFoundationDBOracle infooriginally developed by Sleepycat, which was acquired by OracleSiteWhere
Initial release20122012201319942010
Current release1.0.7075, December 20236.2.28, November 202018.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free infosome layers support schemasschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingnoyes
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 indexedyesnoyesno
SQL infoSupport of SQLnonosupported in specific SQL layer onlyyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsHTTP APIRESTful HTTP APIHTTP REST
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.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 proceduresnoyes infoTransaction Functionsin SQL-layer onlyno
TriggersnoBy using transaction functionsnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peersShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersyesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlauthentication via encrypted signaturesnononoUsers with fine-grained authorization concept

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More resources
Amazon CloudSearchDatomicFoundationDBOracle Berkeley DBSiteWhere
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