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DBMS > Hawkular Metrics vs. InterSystems Caché vs. OrigoDB vs. Riak KV

System Properties Comparison Hawkular Metrics vs. InterSystems Caché vs. OrigoDB vs. Riak KV

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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 multi-model DBMS and application serverA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.hawkular.orgwww.intersystems.com/­products/­cacheorigodb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.intersystems.comorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCommunity supported by Red HatInterSystemsRobert Friberg et alOpenSource, formerly Basho Technologies
Initial release201419972009 infounder the name LiveDB2009
Current release2018.1.4, May 20203.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#Erlang
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Data schemeschema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsno
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.noyesno infocan be achieved using .NETno
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLnoyesnono
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesyesErlang
Triggersyes infovia Hawkular Alertingyesyes infoDomain Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesdepending on modelno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesRole based authorizationyes, using Riak Security

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More resources
Hawkular MetricsInterSystems CachéOrigoDBRiak KV
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