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DBMS > Amazon CloudSearch vs. Hazelcast vs. mSQL vs. Sphinx vs. SQream DB

System Properties Comparison Amazon CloudSearch vs. Hazelcast vs. mSQL vs. Sphinx vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHazelcast  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA widely adopted in-memory data gridmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSearch engineKey-value storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteaws.amazon.com/­cloudsearchhazelcast.comhughestech.com.au/­products/­msqlsphinxsearch.comsqream.com
Technical documentationdocs.aws.amazon.com/­cloudsearchhazelcast.org/­imdg/­docssphinxsearch.com/­docsdocs.sqream.com
DeveloperAmazonHazelcastHughes TechnologiesSphinx Technologies Inc.SQream Technologies
Initial release20122008199420012017
Current release5.3.6, November 20234.4, October 20213.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageJavaCC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes, ANSI Standard SQL Types
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 infothe object must implement a serialization strategyno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol.Net
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnonouser defined functions in Python
Triggersnoyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoReplicated Mapnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednonoACID
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesRole-based access controlnono

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More resources
Amazon CloudSearchHazelcastmSQL infoMini SQLSphinxSQream DB
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