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DBMS > Hawkular Metrics vs. Prometheus vs. TimescaleDB vs. Tkrzw vs. UniData,UniVerse

System Properties Comparison Hawkular Metrics vs. Prometheus vs. TimescaleDB vs. Tkrzw vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSKey-value storeMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.hawkular.orgprometheus.iowww.timescale.comdbmx.net/­tkrzwwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docsdocs.timescale.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCommunity supported by Red HatTimescaleMikio HirabayashiRocket Software
Initial release20142015201720201985
Current release2.15.0, May 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCC++C
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesnooptional
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 infoImport of XML data possibleyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntaxnoyes
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnoyes
Triggersyes infovia Hawkular Alertingnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, across time and space (hash partitioning) attributesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby FederationSource-replica replication with hot standby and reads on replicas infononeSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoconfigurable
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.nononoyes infousing specific database classes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnoAccess rights according to SQL-standard and operating system based

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More resources
Hawkular MetricsPrometheusTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetUniData,UniVerse
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