DBMS > Amazon SimpleDB vs. Machbase vs. MarkLogic

System Properties Comparison Amazon SimpleDB vs. Machbase vs. MarkLogic

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Editorial information provided by DB-Engines
Name	Amazon SimpleDB  Xexclude from comparison	Machbase Former name was Infiniflux  Xexclude from comparison	MarkLogic  Xexclude from comparison
Description	Hosted simple database service by Amazon, with the data stored in the Amazon Cloud. There is an unrelated product called SimpleDB developed by Edward Sciore	TimeSeries DBMS for AIoT and BigData	Operational and transactional Enterprise NoSQL database
Primary database model	Key-value store	Time Series DBMS	Document store Native XML DBMS RDF store as of version 7 Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.09 Rank #123   Overall #24   Key-value stores	Score 0.00 Rank #356   Overall #32   Time Series DBMS	Score 9.78 Rank #50   Overall #9   Document stores #1   Native XML DBMS #1   RDF stores #4   Search engines
Website	aws.amazon.com/­simpledb	www.machbase.com	www.marklogic.com
Technical documentation	docs.aws.amazon.com/­simpledb	machbase.atlassian.net/­wiki/­spaces/­MAN/­overview	docs.marklogic.com
Developer	Amazon	Machbase	MarkLogic Corp.
Initial release	2007	2013	2001
Current release		V6.5, August 2021	9.0, 2017
License Commercial or Open Source	commercial	commercial free test version available	commercial restricted free version is available
Cloud-based only Only available as a cloud service	yes	no	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	Linux Windows	Linux OS X Windows
Data scheme	schema-free	yes	schema-free Schema can be enforced
Typing predefined data types such as float or date	no	yes	yes
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	yes
Secondary indexes	yes All columns are indexed automatically	yes	yes
SQL Support of SQL	no	SQL-like query language	yes SQL92
APIs and other access methods	RESTful HTTP API	HTTP REST JDBC ODBC	Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9 RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT
Supported programming languages	.Net C C++ Erlang Java PHP Python Ruby Scala	C C# C++ Java JavaScript PHP via ODBC Python R via ODBC Scala	C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby
Server-side scripts Stored procedures	no	no	yes via XQuery or JavaScript
Triggers	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none Sharding must be implemented in the application	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor	yes
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Immediate Consistency can be specified for read operations		Immediate Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no Concurrent data updates can be detected by the application	no	ACID can act as a resource manager in an XA/JTA transaction
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	no	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes volatile and lookup table	yes, with Range Indexes
User concepts Access control	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	simple password-based access control	Role-based access control at the document and subdocument levels
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More resources
	Amazon SimpleDB	Machbase Former name was Infiniflux	MarkLogic
DB-Engines blog posts	The popularity of cloud-based DBMSs has increased tenfold in four years 7 February 2017, Matthias Gelbmann Amazon - the rising star in the DBMS market 3 August 2015, Matthias Gelbmann show all