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DBMS > MarkLogic vs. Prometheus vs. TypeDB vs. Valentina Server

System Properties Comparison MarkLogic vs. Prometheus vs. TypeDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonPrometheus  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseOpen-source Time Series DBMS and monitoring systemTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageObject-relational database and reports server
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational 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
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.marklogic.comprometheus.iotypedb.comwww.valentina-db.net
Technical documentationdocs.marklogic.comprometheus.io/­docstypedb.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMarkLogic Corp.VaticleParadigma Software
Initial release2001201520161999
Current release11.0, December 20222.26.3, January 20245.7.5
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 of XML data possibleno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infoSQL92nonoyes
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
RESTful HTTP/JSON APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby FederationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 Indexesnonoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnoyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard
More information provided by the system vendor
MarkLogicPrometheusTypeDB infoformerly named GraknValentina Server
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
MarkLogicPrometheusTypeDB infoformerly named GraknValentina Server
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