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DBMS > Graphite vs. Linter vs. openGauss vs. PostGIS

System Properties Comparison Graphite vs. Linter vs. openGauss vs. PostGIS

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Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonLinter  Xexclude from comparisonopenGauss  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDBMS for high security requirementsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpatial extension of PostgreSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Relational 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
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitegithub.com/­graphite-project/­graphite-weblinter.rugitee.com/­opengauss
opengauss.org
postgis.net
Technical documentationgraphite.readthedocs.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
postgis.net/­documentation
DeveloperChris Davisrelex.ruHuawei and openGauss community
Initial release2006199020192005
Current release3.0, March 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoGPL v2.0
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++C, C++, JavaC
Server operating systemsLinux
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesANSI SQL 2011yes
APIs and other access methodsHTTP API
Sockets
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesJavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Java
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLyesuser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by range, list and hash)yes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardyes infobased on PostgreSQL

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More resources
GraphiteLinteropenGaussPostGIS
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Recent citations in the news

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

Getting Started with Monitoring using Graphite
23 January 2015, InfoQ.com

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

The value of time series data and TSDBs
10 June 2021, InfoWorld

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

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