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DBMS > CrateDB vs. MarkLogic vs. RDF4J

System Properties Comparison CrateDB vs. MarkLogic vs. RDF4J

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneOperational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Search engine
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF store
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#179  Overall
#87  Relational DBMS
#12  Search engines
Score9.19
Rank#51  Overall
#8  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.68
Rank#211  Overall
#9  RDF stores
Websitecrate.iowww.marklogic.comrdf4j.org
Technical documentationcrate.io/­docsdocs.marklogic.comrdf4j.org/­documentation
DeveloperCrateMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201320012004
Current release9.0, 2017
License infoCommercial or Open SourceOpen Sourcecommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsAll OS with a Java 7 (and higher) VMLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoSchema can be enforcedyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyes infoSQL92no
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexes
User concepts infoAccess controlrights management via user accountsRole-based access control at the document and subdocument levelsno
More information provided by the system vendor
CrateDBMarkLogicRDF4J infoformerly known as Sesame
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
CrateDBMarkLogicRDF4J infoformerly known as Sesame
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Crate.io Expands CrateDB Cloud with the Launch of CrateDB Edge
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