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DBMS > Hawkular Metrics vs. Kinetica vs. openGauss vs. VoltDB

System Properties Comparison Hawkular Metrics vs. Kinetica vs. openGauss vs. VoltDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonopenGauss  Xexclude from comparisonVoltDB  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 CPUsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.hawkular.orgwww.kinetica.comgitee.com/­opengauss
opengauss.org
www.voltdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.voltdb.com
DeveloperCommunity supported by Red HatKineticaHuawei and openGauss communityVoltDB Inc.
Initial release2014201220192010
Current release7.1, August 20213.0, March 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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++, JavaJava, C++
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
OS X infofor development
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI SQL 2011yes infoonly a subset of SQL 99
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyesJava
Triggersyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardUsers and roles with access to stored procedures

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More resources
Hawkular MetricsKineticaopenGaussVoltDB
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