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DBMS > Hawkular Metrics vs. HEAVY.AI vs. Ignite vs. LokiJS vs. Newts

System Properties Comparison Hawkular Metrics vs. HEAVY.AI vs. Ignite vs. LokiJS vs. Newts

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIgnite  Xexclude from comparisonLokiJS  Xexclude from comparisonNewts  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 hardwareApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-memory JavaScript DBMSTime Series DBMS based on Cassandra
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Document storeTime Series DBMS
Secondary database modelsSpatial 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
ignite.apache.orggithub.com/­techfort/­LokiJSopennms.github.io/­newts
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aiapacheignite.readme.io/­docstechfort.github.io/­LokiJSgithub.com/­OpenNMS/­newts/­wiki
DeveloperCommunity supported by Red HatHEAVY.AI, Inc.Apache Software FoundationOpenNMS Group
Initial release20142016201520142014
Current release5.10, January 2022Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAC++, Java, .NetJavaScriptJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesnono
Secondary indexesnonoyesyes infovia viewsno
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
Vega
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JavaScript APIHTTP REST
Java API
Supported programming languagesGo
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptJava
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptno
Triggersyes infovia Hawkular Alertingnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoRound robinShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationyes (replicated cache)noneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnono

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