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DBMS > Citus vs. Microsoft Azure SQL Data Warehouse vs. RRDtool

System Properties Comparison Citus vs. Microsoft Azure SQL Data Warehouse vs. RRDtool

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerIndustry 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 DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.98
Rank#147  Overall
#72  Relational DBMS
Score9.37
Rank#43  Overall
#27  Relational DBMS
Score2.61
Rank#96  Overall
#5  Time Series DBMS
Websitewww.citusdata.comazure.microsoft.com/­services/­sql-data-warehouseoss.oetiker.ch/­rrdtool
Technical documentationdocs.citusdata.comdocs.microsoft.com/­azure/­sql-data-warehouseoss.oetiker.ch/­rrdtool/­doc
DeveloperMicrosoftTobias Oetiker
Initial release201020161999
Current release8.1, December 20181.7.2, May 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxhostedHP-UX
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric 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.yes infospecific XML type available, but no XML query functionalitynono infoExporting into and restoring from XML files possible
Secondary indexesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
PHP
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQLno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno

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More resources
CitusMicrosoft Azure SQL Data WarehouseRRDtool
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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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

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Recent citations in the news

Microsoft acquires Citus Data for its open source PostgreSQL tool
25 January 2019, VentureBeat

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

Hadoop Big Data Analytics Market Continuous Excellent Growth |
26 March 2020, openPR

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Microsoft rolls out new performance-scaling features for Azure databases, including serverless Azure SQL
6 May 2019, GeekWire

provided by Google News

Software Engineer - Tech Lead (SQL, Data Warehouse, ETL, Analytics) at The Travelers Companies, Inc.
7 April 2020, Insurance Journal

SQL Server Management Studio 18.5 now generally available
8 April 2020, Neowin

Aginity to Bring the Power of Analytics Management to Microsoft Azure SQL Data Warehouse
6 August 2019, PRNewswire

Azure Synapse Analytics combines data warehouse, lake and pipelines
4 November 2019, ZDNet

Analytics Moves To The Cloud, And IBM i Data Goes With It
11 March 2020, IT Jungle

provided by Google News

The 16 Best Free and Open Source Network Monitoring Tools for 2020
8 April 2020, Solutions Review

Bare-Bones Monitoring with Monit and RRDtool
21 March 2019, Linux Journal

How to install and use RRDTool to speed up MRTG monitoring
24 June 2009, SearchDataCenter.com

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

How to install the Observium network discovery tool on Ubuntu Server 18.10
25 December 2019, TechRepublic

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