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DBMS > Hawkular Metrics vs. Hive vs. IRONdb vs. Memcached vs. RDF4J

System Properties Comparison Hawkular Metrics vs. Hive vs. IRONdb vs. Memcached vs. RDF4J

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonMemcached  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityIn-memory key-value store, originally intended for cachingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.hawkular.orghive.apache.orgwww.circonus.com/solutions/time-series-database/www.memcached.orgrdf4j.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedgithub.com/­memcached/­memcached/­wikirdf4j.org/­documentation
DeveloperCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookCirconus LLC.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142012201720032004
Current release3.1.3, April 2022V0.10.20, January 20181.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialOpen Source infoBSD licenseOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++CJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnoyes
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 indexesnoyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
HTTP APIProprietary protocolJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
Python
Ruby
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in Luanoyes
Triggersyes infovia Hawkular Alertingnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factorconfigurable replication factor, datacenter awarenone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
Hawkular MetricsHiveIRONdbMemcachedRDF4J infoformerly known as Sesame
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