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DBMS > DuckDB vs. Hawkular Metrics vs. Kdb vs. MonetDB vs. SiteWhere

System Properties Comparison DuckDB vs. Hawkular Metrics vs. Kdb vs. MonetDB vs. SiteWhere

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonMonetDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMSA relational database management system that stores data in columnsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteduckdb.orgwww.hawkular.orgkx.comwww.monetdb.orggithub.com/­sitewhere/­sitewhere
Technical documentationduckdb.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comwww.monetdb.org/­Documentationsitewhere1.sitewhere.io/­index.html
DeveloperCommunity supported by Red HatKx Systems, a division of First Derivatives plcMonetDB BVSiteWhere
Initial release201820142000 infokdb was released 2000, kdb+ in 200320042010
Current release1.0.0, June 20243.6, May 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaqCJava
Server operating systemsserver-lessLinux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyesnoSQL-like query language (q)yes infoSQL 2003 with some extensionsno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Go
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes, in SQL, C, R
Triggersnoyes infovia Hawkular Alertingyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioningSharding via remote tablesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replicationnone infoSource-replica replication available in experimental statusselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnoyesno
User concepts infoAccess controlnonorights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
DuckDBHawkular MetricsKdbMonetDBSiteWhere
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
DuckDBHawkular MetricsKdbMonetDBSiteWhere
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