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DBMS > Citus vs. MarkLogic vs. Sadas Engine vs. SiriDB

System Properties Comparison Citus vs. MarkLogic vs. Sadas Engine vs. SiriDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen Source Time Series DBMS
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.36
Rank#144  Overall
#70  Relational DBMS
Score9.52
Rank#45  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.00
Rank#351  Overall
#142  Relational DBMS
Score0.04
Rank#327  Overall
#28  Time Series DBMS
Websitewww.citusdata.comwww.marklogic.comwww.sadasengine.comsiridb.net
Technical documentationdocs.citusdata.comdocs.marklogic.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.net
DeveloperMarkLogic Corp.SADAS s.r.l.Transceptor Technology
Initial release2010200120062017
Current release8.1, December 20189.0, 20178.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial inforestricted free version is availablecommercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++C
Server operating systemsLinuxLinux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeyesschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric data
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 infospecific XML type available, but no XML query functionalityyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infoSQL92yesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infovia XQuery or JavaScriptnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
CitusMarkLogicSadas EngineSiriDB
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesThe main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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CitusMarkLogicSadas EngineSiriDB
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