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DBMS > Hawkular Metrics vs. OrigoDB vs. Prometheus vs. Tkrzw

System Properties Comparison Hawkular Metrics vs. OrigoDB vs. Prometheus vs. Tkrzw

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.hawkular.orgorigodb.comprometheus.iodbmx.net/­tkrzw
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docsprometheus.io/­docs
DeveloperCommunity supported by Red HatRobert Friberg et alMikio Hirabayashi
Initial release20142009 infounder the name LiveDB20152020
Current release0.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#GoC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
Windows
Linux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsNumeric data onlyno
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 infocan be achieved using .NETno infoImport of XML data possibleno
Secondary indexesnoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP REST.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Ruby
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersyes infovia Hawkular Alertingyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing specific database classes
User concepts infoAccess controlnoRole based authorizationnono

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More resources
Hawkular MetricsOrigoDBPrometheusTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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