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DBMS > Amazon CloudSearch vs. Brytlyt vs. Hyprcubd vs. Sphinx vs. STSdb

System Properties Comparison Amazon CloudSearch vs. Brytlyt vs. Hyprcubd vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBrytlyt  Xexclude from comparisonHyprcubd  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLServerless Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineRelational DBMSTime Series DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­cloudsearchbrytlyt.iohyprcubd.com (offline)sphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.brytlyt.iosphinxsearch.com/­docs
DeveloperAmazonBrytlytHyprcubd, Inc.Sphinx Technologies Inc.STS Soft SC
Initial release2012201620012011
Current release5.0, August 20233.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoC++C#
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringnoyes infoprimitive types and user defined types (classes)
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes infoall search fields are automatically indexedyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (https)Proprietary protocol.NET Client API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.no
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardtoken accessnono

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More resources
Amazon CloudSearchBrytlytHyprcubdSphinxSTSdb
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