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

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

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Editorial information provided by DB-Engines
Name	Amazon CloudSearch  Xexclude from comparison	Drizzle  Xexclude from comparison	IBM Db2 warehouse formerly named IBM dashDB  Xexclude from comparison	Sphinx  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.
Description	A hosted search engine service by Amazon with the data stored in Amazons cloud	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Cloud-based data warehousing service	Open source search engine for searching in data from different sources, e.g. relational databases
Primary database model	Search engine	Relational DBMS	Relational DBMS	Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.21 Rank #119   Overall #11   Search engines		Score 1.83 Rank #130   Overall #63   Relational DBMS	Score 7.23 Rank #61   Overall #8   Search engines
Website	aws.amazon.com/­cloudsearch		www.ibm.com/­products/­db2-warehouse	sphinxsearch.com
Technical documentation	docs.aws.amazon.com/­cloudsearch			sphinxsearch.com/­docs
Developer	Amazon	Drizzle project, originally started by Brian Aker	IBM	Sphinx Technologies Inc.
Initial release	2012	2008	2014	2001
Current release		7.2.4, September 2012		3.4.1, July 2021
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial	Open Source GPL version 2, commercial licence available
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++		C++
Server operating systems	hosted	FreeBSD Linux OS X	hosted	FreeBSD Linux NetBSD OS X Solaris Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	no
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.			no Import/export of XML data possible
Secondary indexes	yes all search fields are automatically indexed	yes	yes	yes full-text index on all search fields
SQL Support of SQL	no	yes with proprietary extensions	yes	SQL-like query language (SphinxQL)
APIs and other access methods	HTTP API	JDBC	.NET Client API JDBC ODBC OLE DB	Proprietary protocol
Supported programming languages		C C++ Java PHP	Java JavaScript (Node.js) Perl PHP Python R Ruby	C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library
Server-side scripts Stored procedures	no	no	PL/SQL, SQL PL	no
Triggers	no	no hooks for callbacks inside the server can be used.	yes	no
Partitioning methods Methods for storing different data on different nodes	yes automatic partitioning across Amazon Search Instance as required	Sharding	Sharding	Sharding Partitioning is done manually, search queries against distributed index is supported
Replication methods Methods for redundantly storing data on multiple nodes	yes managed transparently by AWS	Multi-source replication Source-replica replication	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system			Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes The original contents of fields are not stored in the Sphinx index.
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.			yes
User concepts Access control	authentication via encrypted signatures	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard	no
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More resources
	Amazon CloudSearch	Drizzle	IBM Db2 warehouse formerly named IBM dashDB	Sphinx
DB-Engines blog posts	Amazon - the rising star in the DBMS market 3 August 2015, Matthias Gelbmann The DB-Engines ranking includes now search engines 4 February 2013, Paul Andlinger show all	MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all