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DBMS > Amazon CloudSearch vs. GeoSpock vs. Kdb

System Properties Comparison Amazon CloudSearch vs. GeoSpock vs. Kdb

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonKdb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudSpatial and temporal data processing engine for extreme data scaleHigh performance Time Series DBMS
Primary database modelSearch engineRelational DBMSTime Series DBMS
Vector DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#135  Overall
#12  Search engines
Score6.49
Rank#53  Overall
#2  Time Series DBMS
#4  Vector DBMS
Websiteaws.amazon.com/­cloudsearchgeospock.comkx.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcode.kx.com
DeveloperAmazonGeoSpockKx Systems, a division of First Derivatives plc
Initial release20122000 infokdb was released 2000, kdb+ in 2003
Current release2.0, September 20193.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascriptq
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyes infoall search fields are automatically indexedtemporal, categoricalyes infotable attribute 'grouped'
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (q)
APIs and other access methodsHTTP APIJDBCHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 can be defined per tablerights management via user accounts

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More resources
Amazon CloudSearchGeoSpockKdb
DB-Engines blog posts

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31 July 2024, The Stack

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