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DBMS > Graphite vs. Linter vs. LokiJS vs. OpenQM

System Properties Comparison Graphite vs. Linter vs. LokiJS vs. OpenQM

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonLinter  Xexclude from comparisonLokiJS  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDBMS for high security requirementsIn-memory JavaScript DBMSQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelTime Series DBMSRelational DBMSDocument storeMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitegithub.com/­graphite-project/­graphite-weblinter.rugithub.com/­techfort/­LokiJSwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationgraphite.readthedocs.iotechfort.github.io/­LokiJS
DeveloperChris Davisrelex.ruRocket Software, originally Martin Phillips
Initial release2006199020141993
Current release3.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPLv2, extended commercial license available
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 languagePythonC and C++JavaScript
Server operating systemsLinux
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateNumeric data onlyyesno
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.nononoyes
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsHTTP API
Sockets
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JavaScript API
Supported programming languagesJavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScript.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLView functions in JavaScriptyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights can be defined down to the item level

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More resources
GraphiteLinterLokiJSOpenQM infoalso called QM
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Recent citations in the news

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29 October 2019, TechTarget

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23 January 2015, InfoQ.com

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
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