DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Graphite vs. Microsoft Azure Cosmos DB vs. PostGIS vs. RRDtool

System Properties Comparison Graphite vs. Microsoft Azure Cosmos DB vs. PostGIS vs. RRDtool

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostGIS  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGlobally distributed, horizontally scalable, multi-model database serviceSpatial extension of PostgreSQLIndustry 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 modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Spatial DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitegithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­cosmos-dbpostgis.netoss.oetiker.ch/­rrdtool
Technical documentationgraphite.readthedocs.iolearn.microsoft.com/­azure/­cosmos-dbpostgis.net/­documentationoss.oetiker.ch/­rrdtool/­doc
DeveloperChris DavisMicrosoftTobias Oetiker
Initial release2006201420051999
Current release3.4.2, February 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL v2.0Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
Unix
hostedHP-UX
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data onlyyes infoJSON typesyesNumeric 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.noyesno infoExporting into and restoring from XML files possible
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsHTTP API
Sockets
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
in-process shared library
Pipes
Supported programming languagesJavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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 proceduresnoJavaScriptuser defined functionsno
TriggersnoJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes infoby using the rrdcached daemon
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.noyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelyes infobased on PostgreSQLno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GraphiteMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostGISRRDtool
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Spatial database management systems
6 April 2021, Matthias Gelbmann

show all

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

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

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

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

provided by Google News

Public preview: Change partition key of a container in Azure Cosmos DB (NoSQL API) | Azure updates
27 March 2024, Microsoft

Microsoft Build 2024: Cosmos DB for NoSQL gets vector search
21 May 2024, InfoWorld

At Build, Microsoft Fabric, PostgreSQL and Cosmos DB get AI enhancements
21 May 2024, SiliconANGLE News

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
10 November 2023, InfoQ.com

provided by Google News

SQLi vulnerability in Cacti could lead to RCE (CVE-2023-51448)
9 January 2024, Help Net Security

Critical IP spoofing bug patched in Cacti
15 December 2022, The Daily Swig

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

Installation Guide for Collectd and Collectd-Web to Monitor Server Resources in Linux
29 November 2017, Linux.com

Cacti servers under attack by attackers exploiting CVE-2022-46169
16 January 2023, Help Net Security

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here