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DBMS > Amazon CloudSearch vs. Ingres vs. Sphinx vs. SQL.JS vs. Teradata

System Properties Comparison Amazon CloudSearch vs. Ingres vs. Sphinx vs. SQL.JS vs. Teradata

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonIngres  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudWell established RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSSearch engineRelational DBMSRelational 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
Score1.85
Rank#137  Overall
#12  Search engines
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.actian.com/­databases/­ingressphinxsearch.comsql.js.orgwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.actian.com/­ingressphinxsearch.com/­docssql.js.org/­documentation/­index.htmldocs.teradata.com
DeveloperAmazonActian CorporationSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersTeradata
Initial release20121974 infooriginally developed at University Berkely in early 1970s200120121984
Current release11.2, May 20223.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Sourcecommercial
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 languageCC++JavaScript
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.no infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesyes infoall search fields are automatically indexedyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedyes infoSQL 2016 + extensions
APIs and other access methodsHTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocolJavaScript API.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
JavaScriptC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSIngres ReplicatornonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchIngresSphinxSQL.JSTeradata
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