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DBMS > Hawkular Metrics vs. Hypertable vs. IRONdb vs. LevelDB vs. RDF4J

System Properties Comparison Hawkular Metrics vs. Hypertable vs. IRONdb vs. LevelDB vs. RDF4J

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.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.An open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSWide column storeTime Series DBMSKey-value storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.72
Rank#222  Overall
#9  RDF stores
Websitewww.hawkular.orgwww.circonus.com/solutions/time-series-database/github.com/­google/­leveldbrdf4j.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.circonus.com/irondb/category/getting-startedgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentation
DeveloperCommunity supported by Red HatHypertable Inc.Circonus LLC.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142009201720112004
Current release0.9.8.11, March 2016V0.10.20, January 20181.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
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 languageJavaC++C and C++C++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyes 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.nonono
Secondary indexesnorestricted infoonly exact value or prefix value scansnonoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsHTTP RESTC++ API
Thrift
HTTP APIJava 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
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes, 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 factor on file system levelconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
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 persistentyesyesyesyes infowith automatic compression on writesyes 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 controlnonononono

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More resources
Hawkular MetricsHypertableIRONdbLevelDBRDF4J infoformerly known as Sesame
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