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DBMS > MarkLogic vs. PlanetScale vs. Stardog vs. SWC-DB

System Properties Comparison MarkLogic vs. PlanetScale vs. Stardog vs. SWC-DB

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonPlanetScale  Xexclude from comparisonStardog  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseScalable, distributed, serverless MySQL database platform built on top of VitessEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSGraph DBMS
RDF store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.marklogic.complanetscale.comwww.stardog.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.marklogic.complanetscale.com/­docsdocs.stardog.com
DeveloperMarkLogic Corp.PlanetScaleStardog-UnionAlex Kashirin
Initial release2001202020102020
Current release11.0, December 20227.3.0, May 20200.5, April 2021
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaC++
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Linux
macOS
Windows
Linux
Data schemeschema-free infoSchema can be enforcedyesschema-free and OWL/RDFS-schema supportschema-free
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.yesno infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infoSQL92yes infowith proprietary extensionsYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
MySQL protocol
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyes infoproprietary syntaxuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yes, with Range Indexesyesyesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and roles

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More resources
MarkLogicPlanetScaleStardogSWC-DB infoSuper Wide Column Database
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