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DBMS > Amazon CloudSearch vs. JSqlDb vs. Splunk vs. Teradata

System Properties Comparison Amazon CloudSearch vs. JSqlDb vs. Splunk vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonJSqlDb  Xexclude from comparisonSplunk  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudJavaScript Query Language Database, stores JavaScript objects and primitivesAnalytics Platform for Big DataA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineDocument store
Object oriented DBMS
Search engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.06
Rank#86  Overall
#9  Search engines
Score0.00
Rank#334  Overall
#46  Document stores
#19  Object oriented DBMS
Score88.67
Rank#12  Overall
#2  Search engines
Score78.29
Rank#15  Overall
#10  Relational DBMS
Websiteaws.amazon.com/­cloudsearchjsqldb.orgwww.splunk.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.splunk.com/­Documentation/­Splunkdocs.teradata.com
DeveloperAmazonKonrad von BackstromSplunk Inc.Teradata
Initial release2012201820031984
Current release0.8, December 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyesyes
Secondary indexesyes infoall search fields are automatically indexednoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonono infoSplunk Search Processing Language for search commandsyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIHTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJavaScriptC#
Java
JavaScript
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnofunctions in JavaScriptyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneMaster-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchJSqlDbSplunkTeradata
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Amazon CloudSearch: Just What You Were Looking For?
11 September 2016, Wired News

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