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DBMS > GeoSpock vs. Hawkular Metrics

System Properties Comparison GeoSpock vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scaleHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#310  Overall
#140  Relational DBMS
Score0.21
Rank#340  Overall
#30  Time Series DBMS
Websitegeospock.comwww.hawkular.org
Technical documentationdocs.geospock.com/­Content/­Home.htmwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperGeoSpockCommunity supported by Red Hat
Initial release2014
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJava
Server operating systemshostedLinux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexestemporal, categoricalno
SQL infoSupport of SQLANSI SQL for query only (using Presto)no
APIs and other access methodsJDBCHTTP REST
Supported programming languagesGo
Java
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per tableno

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More resources
GeoSpockHawkular Metrics
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