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DBMS > Hawkular Metrics vs. Kinetica vs. Percona Server for MongoDB vs. Quasardb

System Properties Comparison Hawkular Metrics vs. Kinetica vs. Percona Server for MongoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Fully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries database
Primary database modelTime Series DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.hawkular.orgwww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.ai
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­master
DeveloperCommunity supported by Red HatKineticaPerconaquasardb
Initial release2014201220152009
Current release7.1, August 20213.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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, C++C++C++
Server operating systemsLinux
OS X
Windows
LinuxLinuxBSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.nononono
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONHTTP API
Supported programming languagesGo
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptno
Triggersyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infovia In-Memory Engineyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users and roles on table levelAccess rights for users and rolesCryptographically strong user authentication and audit trail

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More resources
Hawkular MetricsKineticaPercona Server for MongoDBQuasardb
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