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DBMS > Amazon CloudSearch vs. dBASE vs. LokiJS vs. Oracle Berkeley DB vs. Teradata

System Properties Comparison Amazon CloudSearch vs. dBASE vs. LokiJS vs. Oracle Berkeley DB vs. Teradata

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisondBASE  Xexclude from comparisonLokiJS  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons clouddBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.In-memory JavaScript DBMSWidely used in-process key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.dbase.comgithub.com/­techfort/­LokiJSwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.dbase.com/­support/­knowledgebasetechfort.github.io/­LokiJSdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.teradata.com
DeveloperAmazonAsthon TateOracle infooriginally developed by Sleepycat, which was acquired by OracleTeradata
Initial release20121979201419941984
Current releasedBASE 2019, 201918.1.40, May 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infocommercial license availablecommercial
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 languageJavaScriptC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
server-less, requires a JavaScript environment (browser, Node.js)AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 editionyes
Secondary indexesyes infoall search fields are automatically indexedyesyes infovia viewsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is availableyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APInone infoThe IDE can access other DBMS or ODBC-sources.JavaScript API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesdBase proprietary IDEJavaScript.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++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.View functions in JavaScriptnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenonenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno infoatomic operations within a single collection possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesnonofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchdBASELokiJSOracle Berkeley DBTeradata
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