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DBMS > Hawkular Metrics vs. Microsoft SQL Server vs. Postgres-XL vs. RDFox

System Properties Comparison Hawkular Metrics vs. Microsoft SQL Server vs. Postgres-XL vs. RDFox

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsofts flagship relational DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresHigh performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.hawkular.orgwww.microsoft.com/­en-us/­sql-serverwww.postgres-xl.orgwww.oxfordsemantic.tech
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidelearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgres-xl.org/­documentationdocs.oxfordsemantic.tech
DeveloperCommunity supported by Red HatMicrosoftOxford Semantic Technologies
Initial release201419892014 infosince 2012, originally named StormDB2017
Current releaseSQL Server 2022, November 202210 R1, October 20186.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++CC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes infoXML type, but no XML query functionality
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionno
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, but depending on the SQL-Server Editionreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Hawkular MetricsMicrosoft SQL ServerPostgres-XLRDFox
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