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DBMS > Hawkular Metrics vs. HEAVY.AI vs. Kingbase vs. Lovefield

System Properties Comparison Hawkular Metrics vs. HEAVY.AI vs. Kingbase vs. Lovefield

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKingbase  Xexclude from comparisonLovefield  Xexclude from comparison
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 hardwareAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Embeddable relational database for web apps written in pure JavaScript
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.kingbase.com.cngoogle.github.io/­lovefield
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCommunity supported by Red HatHEAVY.AI, Inc.BeiJing KINGBASE Information technologies inc.Google
Initial release2014201619992014
Current release5.10, January 2022V8.0, August 20212.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0
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++ and CUDAC and JavaJavaScript
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyesStandard with numerous extensionsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
Vega
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGo
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyes infovia Hawkular AlertingnoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoRound robinhorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationyesnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Hawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KingbaseLovefield
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