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DBMS > Amazon CloudSearch vs. GeoSpock vs. Sphinx vs. Teradata

System Properties Comparison Amazon CloudSearch vs. GeoSpock vs. Sphinx vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  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 scaleOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgeospock.comsphinxsearch.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchsphinxsearch.com/­docsdocs.teradata.com
DeveloperAmazonGeoSpockSphinx Technologies Inc.Teradata
Initial release201220011984
Current release2.0, September 20193.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIJDBCProprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 tablenofine grained access rights according to SQL-standard

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Amazon CloudSearchGeoSpockSphinxTeradata
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