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DBMS > Hawkular Metrics vs. ReductStore vs. RethinkDB vs. Rockset

System Properties Comparison Hawkular Metrics vs. ReductStore vs. RethinkDB vs. Rockset

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonReductStore  Xexclude from comparisonRethinkDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.hawkular.orggithub.com/­reductstore
www.reduct.store
rethinkdb.comrockset.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.reduct.store/­docsrethinkdb.com/­docsdocs.rockset.com
DeveloperCommunity supported by Red HatReductStore LLCThe Linux Foundation infosince July 2017Rockset
Initial release2014202320092019
Current release1.9, March 20242.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBusiness Source License 1.1Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, RustC++C++
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrydynamic typing
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 infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINs
APIs and other access methodsHTTP RESTHTTP APIHTTP REST
Supported programming languagesGo
Java
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnono
Triggersyes infovia Hawkular AlertingClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding inforange basedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyes infousers and table-level permissionsAccess rights for users and organizations can be defined via Rockset console

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More resources
Hawkular MetricsReductStoreRethinkDBRockset
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