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DBMS > MonetDB vs. Newts vs. Quasardb vs. RRDtool

System Properties Comparison MonetDB vs. Newts vs. Quasardb vs. RRDtool

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#123  Overall
#59  Relational DBMS
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Score0.19
Rank#288  Overall
#23  Time Series DBMS
Score2.28
Rank#114  Overall
#7  Time Series DBMS
Websitewww.monetdb.orgopennms.github.io/­newtsquasardb.netoss.oetiker.ch/­rrdtool
Technical documentationwww.monetdb.org/­Documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasardb.netoss.oetiker.ch/­rrdtool/­doc
DeveloperMonetDB BVOpenNMS GroupquasardbTobias Oetiker
Initial release2004201420091999
Current releaseOct2020-SP2, January 20213.1, January 20191.7.2, May 2019
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL V2 and FLOSS
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 languageCJavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
HP-UX
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryNumeric 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.nonono infoExporting into and restoring from XML files possible
Secondary indexesyesnoyes infowith tagsno
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoSQL-like query languageno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Java API
HTTP APIin-process shared library
Pipes
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, Rnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesSharding infobased on CassandraSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusselectable replication factor infobased on CassandraSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trailno
More information provided by the system vendor
MonetDBNewtsQuasardbRRDtool
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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MonetDBNewtsQuasardbRRDtool
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