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DBMS > Hawkular Metrics vs. IRONdb vs. Netezza vs. STSdb

System Properties Comparison Hawkular Metrics vs. IRONdb vs. Netezza vs. STSdb

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIRONdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSTSdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityData warehouse and analytics appliance part of IBM PureSystemsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.hawkular.orgwww.circonus.com/solutions/time-series-database/www.ibm.com/­products/­netezzagithub.com/­STSSoft/­STSdb4
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.circonus.com/irondb/category/getting-started
DeveloperCommunity supported by Red HatCirconus LLC.IBMSTS Soft SC
Initial release2014201720002011
Current releaseV0.10.20, January 20184.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C#
Server operating systemsLinux
OS X
Windows
LinuxLinux infoincluded in applianceWindows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infoprimitive types and user defined types (classes)
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 indexesnonoyesno
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesno
APIs and other access methodsHTTP RESTHTTP APIJDBC
ODBC
OLE DB
.NET Client API
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
Java
Server-side scripts infoStored proceduresnoyes, in Luayesno
Triggersyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptno

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More resources
Hawkular MetricsIRONdbNetezza infoAlso called PureData System for Analytics by IBMSTSdb
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