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DBMS > Hawkular Metrics vs. HEAVY.AI vs. Hive vs. IRONdb vs. RDF4J

System Properties Comparison Hawkular Metrics vs. HEAVY.AI vs. Hive vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaredata 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 simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperCommunity supported by Red HatHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142016201220172004
Current release5.10, January 20223.1.3, April 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2commercialOpen 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 languageJavaC++ and CUDAJavaC and C++Java
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
Vega
JDBC
ODBC
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
All languages supporting JDBC/ODBC/Thrift
Python
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
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyes, in Luayes
Triggersyes infovia Hawkular Alertingnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoRound robinShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationselectable replication factorconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual 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 persistentyesyesyesyesyes 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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and rolesnono

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More resources
Hawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveIRONdbRDF4J infoformerly known as Sesame
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