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DBMS > Amazon CloudSearch vs. BigchainDB vs. Hyprcubd vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. BigchainDB vs. Hyprcubd vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBigchainDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonSphinx  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 cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsServerless Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineDocument storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.85
Rank#208  Overall
#35  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­cloudsearchwww.bigchaindb.comhyprcubd.com (offline)sphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchbigchaindb.readthedocs.io/­en/­latestsphinxsearch.com/­docs
DeveloperAmazonHyprcubd, Inc.Sphinx Technologies Inc.
Initial release201220162001
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonGoC++
Server operating systemshostedLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infotime, int, uint, float, stringno
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.nono
Secondary indexesyes infoall search fields are automatically indexednoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
gRPC (https)Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoThe original contents of fields are not stored in the Sphinx index.
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 signaturesyestoken accessno

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More resources
Amazon CloudSearchBigchainDBHyprcubdSphinx
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

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2 June 2020, TechTarget

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19 November 2014, AWS Blog

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