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DBMS > Hawkular Metrics vs. Interbase vs. KairosDB vs. Solr vs. ToroDB

System Properties Comparison Hawkular Metrics vs. Interbase vs. KairosDB vs. Solr vs. ToroDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonKairosDB  Xexclude from comparisonSolr  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandDistributed Time Series DBMS based on Cassandra or H2A widely used distributed, scalable search engine based on Apache LuceneA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engineDocument store
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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.hawkular.orgwww.embarcadero.com/­products/­interbasegithub.com/­kairosdb/­kairosdbsolr.apache.orggithub.com/­torodb/­server
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasekairosdb.github.iosolr.apache.org/­resources.html
DeveloperCommunity supported by Red HatEmbarcaderoApache Software Foundation8Kdata
Initial release20141984201320062016
Current releaseInterBase 2020, December 20191.2.2, November 20189.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoAGPL-V3
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 languageJavaCJavaJavaJava
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java 7 VM
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes infostring, integer, double, boolean, date, object_id
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.nono infoexport as XML data possiblenoyesno
Secondary indexesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnoSolr Parallel SQL Interface
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
JavaScript infoNode.js
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenoJava plugins
Triggersyes infovia Hawkular Alertingyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraInterbase Change Viewsselectable replication factor infobased on CassandrayesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple password-based access controlyesAccess rights for users and roles

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More resources
Hawkular MetricsInterbaseKairosDBSolrToroDB
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