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DBMS > Kinetica vs. Microsoft Azure SQL Database vs. RRDtool vs. searchxml

System Properties Comparison Kinetica vs. Microsoft Azure SQL Database vs. RRDtool vs. searchxml

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRRDtool  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsDatabase as a Service offering with high compatibility to Microsoft 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.DBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMSTime Series DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.kinetica.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseoss.oetiker.ch/­rrdtoolwww.searchxml.net/­category/­products
Technical documentationdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­azure-sqloss.oetiker.ch/­rrdtool/­docwww.searchxml.net/­support/­handouts
DeveloperKineticaMicrosoftTobias Oetikerinformationpartners gmbh
Initial release2012201019992015
Current release7.1, August 2021V121.8.0, 20221.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSScommercial
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 languageC, C++C++C infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinuxhostedHP-UX
Linux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 possibleyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
in-process shared library
Pipes
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnoyes infoon the application server
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with always 3 replicas availablenoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application services

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More resources
KineticaMicrosoft Azure SQL Database infoformerly SQL AzureRRDtoolsearchxml
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