DBMS > MarkLogic vs. OpenTSDB vs. SiriDB vs. Yaacomo

System Properties Comparison MarkLogic vs. OpenTSDB vs. SiriDB vs. Yaacomo

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Editorial information provided by DB-Engines
Name	MarkLogic  Xexclude from comparison	OpenTSDB  Xexclude from comparison	SiriDB  Xexclude from comparison	Yaacomo  Xexclude from comparison
Description	Operational and transactional Enterprise NoSQL database	Scalable Time Series DBMS based on HBase	Open Source Time Series DBMS	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store Native XML DBMS RDF store as of version 7 Search engine	Time Series DBMS	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 10.00 Rank #50   Overall #9   Document stores #1   Native XML DBMS #1   RDF stores #4   Search engines	Score 1.86 Rank #129   Overall #8   Time Series DBMS	Score 0.01 Rank #353   Overall #31   Time Series DBMS	Score 0.01 Rank #356   Overall #155   Relational DBMS
Website	www.marklogic.com	opentsdb.net	siridb.net	yaacomo.com
Technical documentation	docs.marklogic.com	opentsdb.net/­docs/­build/­html/­index.html	docs.siridb.net
Developer	MarkLogic Corp.	currently maintained by Yahoo and other contributors	Cesbit	Q2WEB GmbH
Initial release	2001	2011	2017	2009
Current release	9.0, 2017
License Commercial or Open Source	commercial restricted free version is available	Open Source LGPL	Open Source MIT License	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++	Java	C
Server operating systems	Linux OS X Windows	Linux Windows	Linux	Android Linux Windows
Data scheme	schema-free Schema can be enforced	schema-free	yes	yes
Typing predefined data types such as float or date	yes	numeric data for metrics, strings for tags	yes Numeric data	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.	yes	no	no	no
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	yes SQL92	no	no	yes
APIs and other access methods	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	HTTP API Telnet API	HTTP API	JDBC ODBC
Supported programming languages	C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby	Erlang Go Java Python R Ruby	C C++ Go Python
Server-side scripts Stored procedures	yes via XQuery or JavaScript	no	no
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding based on HBase	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	selectable replication factor based on HBase	yes	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency based on HBase		Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID can act as a resource manager in an XA/JTA transaction	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes, with Range Indexes	no	yes	yes
User concepts Access control	Role-based access control at the document and subdocument levels	no	simple rights management via user accounts	fine grained access rights according to SQL-standard
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	MarkLogic	OpenTSDB	SiriDB	Yaacomo
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