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DBMS > Hawkular Metrics vs. RDF4J vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. RDF4J vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRDF storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#349  Overall
#30  Time Series DBMS
Score0.60
Rank#221  Overall
#9  RDF stores
Score3.24
Rank#93  Overall
#5  Time Series DBMS
Websitewww.hawkular.orgrdf4j.orgwww.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guiderdf4j.org/­documentationdocs.timescale.com
DeveloperCommunity supported by Red HatSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Timescale
Initial release201420042017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
Hawkular MetricsRDF4J infoformerly known as SesameTimescaleDB
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
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Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
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Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
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Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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More resources
Hawkular MetricsRDF4J infoformerly known as SesameTimescaleDB
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