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DBMS > Amazon CloudSearch vs. RDFox vs. Sphinx vs. VoltDB

System Properties Comparison Amazon CloudSearch vs. RDFox vs. Sphinx vs. VoltDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh performance knowledge graph and semantic reasoning engineOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelSearch engineGraph DBMS
RDF store
Search engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score5.98
Rank#56  Overall
#5  Search engines
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.oxfordsemantic.techsphinxsearch.comwww.voltdb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.oxfordsemantic.techsphinxsearch.com/­docsdocs.voltdb.com
DeveloperAmazonOxford Semantic TechnologiesSphinx Technologies Inc.VoltDB Inc.
Initial release2012201720012010
Current release6.0, Septermber 20223.5.1, February 202311.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java, C++
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeyesyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
Secondary indexesyes infoall search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes infoonly a subset of SQL 99
APIs and other access methodsHTTP APIRESTful HTTP API
SPARQL 1.1
Proprietary protocolJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoJava
Triggersnonono
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 supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSreplication via a shared file systemnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesRoles, resources, and access typesnoUsers and roles with access to stored procedures

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More resources
Amazon CloudSearchRDFoxSphinxVoltDB
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