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DBMS > Amazon CloudSearch vs. Drizzle vs. IBM Db2 warehouse vs. PouchDB vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. Drizzle vs. IBM Db2 warehouse vs. PouchDB vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-based data warehousing serviceJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineRelational DBMSRelational DBMSDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#121  Overall
#11  Search engines
Score1.95
Rank#128  Overall
#62  Relational DBMS
Score3.48
Rank#98  Overall
#20  Document stores
Score6.76
Rank#63  Overall
#8  Search engines
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­products/­db2-warehousepouchdb.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchpouchdb.com/­guidessphinxsearch.com/­docs
DeveloperAmazonDrizzle project, originally started by Brian AkerIBMApache Software FoundationSphinx Technologies Inc.
Initial release20122008201420122001
Current release7.2.4, September 20127.1.1, June 20193.4.1, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen SourceOpen Source infoGPL version 2, commercial licence 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++JavaScriptC++
Server operating systemshostedFreeBSD
Linux
OS X
hostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnono
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 infoImport/export of XML data possibleno
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infovia viewsyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesnoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIJDBC.NET Client API
JDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol
Supported programming languagesC
C++
Java
PHP
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLView functions in JavaScriptno
Triggersnono infohooks for callbacks inside the server can be used.yesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
yesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes 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.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnono

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More resources
Amazon CloudSearchDrizzleIBM Db2 warehouse infoformerly named IBM dashDBPouchDBSphinx
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