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DBMS > Hawkular Metrics vs. Microsoft Azure SQL Database vs. Microsoft SQL Server vs. Riak KV vs. SpatiaLite

System Properties Comparison Hawkular Metrics vs. Microsoft Azure SQL Database vs. Microsoft SQL Server vs. Riak KV vs. SpatiaLite

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRiak KV  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering with high compatibility to Microsoft SQL ServerMicrosofts flagship relational DBMSDistributed, fault tolerant key-value storeSpatial extension of SQLite
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.hawkular.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.microsoft.com/­en-us/­sql-serverwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­azure-sqllearn.microsoft.com/­en-US/­sql/­sql-serverwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperCommunity supported by Red HatMicrosoftMicrosoftOpenSource, formerly Basho TechnologiesAlessandro Furieri
Initial release20142010198920092008
Current releaseV12SQL Server 2022, November 20223.2.0, December 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++ErlangC++
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Linux
OS X
server-less
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesyesnono
Secondary indexesnoyesyesrestrictedyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaErlangno
Triggersyes infovia Hawkular Alertingyesyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandratables can be distributed across several files (horizontal partitioning); sharding through federationSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, with always 3 replicas availableyes, but depending on the SQL-Server Editionselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes, using Riak Securityno

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More resources
Hawkular MetricsMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft SQL ServerRiak KVSpatiaLite
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