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DBMS > Kyligence Enterprise vs. MonetDB vs. OrigoDB vs. PouchDB vs. Prometheus

System Properties Comparison Kyligence Enterprise vs. MonetDB vs. OrigoDB vs. PouchDB vs. Prometheus

Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonMonetDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinA relational database management system that stores data in columnsA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Document storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitekyligence.io/­kyligence-enterprisewww.monetdb.orgorigodb.compouchdb.comprometheus.io
Technical documentationwww.monetdb.org/­Documentationorigodb.com/­docspouchdb.com/­guidesprometheus.io/­docs
DeveloperKyligence, Inc.MonetDB BVRobert Friberg et alApache Software Foundation
Initial release201620042009 infounder the name LiveDB20122015
Current releaseDec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open SourceOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#JavaScriptGo
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnoNumeric data only
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.nono infocan be achieved using .NETnono infoImport of XML data possible
Secondary indexesyesyesyesyes infovia viewsno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infoSQL 2003 with some extensionsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.NetJavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, RyesView functions in JavaScriptno
Triggersyesyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tableshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationnono

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More resources
Kyligence EnterpriseMonetDBOrigoDBPouchDBPrometheus
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