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DBMS > Kdb vs. Kyligence Enterprise vs. MonetDB vs. OrientDB vs. Pinecone

System Properties Comparison Kdb vs. Kyligence Enterprise vs. MonetDB vs. OrientDB vs. Pinecone

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA distributed analytics engine for big data, built on top of Apache KylinA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)A managed, cloud-native vector database
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Vector DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitekx.comkyligence.io/­kyligence-enterprisewww.monetdb.orgorientdb.orgwww.pinecone.io
Technical documentationcode.kx.comwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperKx Systems, a division of First Derivatives plcKyligence, Inc.MonetDB BVOrientDB LTD; CallidusCloud; SAPPinecone Systems, Inc
Initial release2000 infokdb was released 2000, kdb+ in 20032016200420102019
Current release3.6, May 2018Dec2023 (11.49), December 20233.2.29, March 2024
License infoCommercial or Open Sourcecommercial infofree 32-bit versioncommercialOpen Source infoMozilla Public License 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJavaCJava
Server operating systemsLinux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)hosted
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyesString, Number, Boolean
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.yesnonono
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)ANSI SQL for queries (using Apache Calcite)yes infoSQL 2003 with some extensionsSQL-like query language, no joinsno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Python
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, RJava, Javascript
Triggersyes infowith viewsyesHooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
KdbKyligence EnterpriseMonetDBOrientDBPinecone
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
KdbKyligence EnterpriseMonetDBOrientDBPinecone
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