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DBMS > Heroic vs. MarkLogic vs. MonetDB vs. Percona Server for MongoDB

System Properties Comparison Heroic vs. MarkLogic vs. MonetDB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMarkLogic  Xexclude from comparisonMonetDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOperational and transactional Enterprise NoSQL databaseA relational database management system that stores data in columnsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Websitegithub.com/­spotify/­heroicwww.progress.com/­marklogicwww.monetdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationspotify.github.io/­heroicwww.progress.com/­marklogic/­documentationwww.monetdb.org/­Documentationdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSpotifyMarkLogic Corp.MonetDB BVPercona
Initial release2014200120042015
Current release11.0, December 2022Dec2023 (11.49), December 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMozilla Public License 2.0Open Source infoGPL Version 2
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 languageJavaC++CC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yes infoSQL 2003 with some extensionsno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
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
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptyes, in SQL, C, RJavaScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDno
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 infovia In-Memory Engine
User concepts infoAccess controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
HeroicMarkLogicMonetDBPercona Server for MongoDB
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