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DBMS > Drizzle vs. Hawkular Metrics vs. Heroic vs. Ultipa

System Properties Comparison Drizzle vs. Hawkular Metrics vs. Heroic vs. Ultipa

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHeroic  Xexclude from comparisonUltipa  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.hawkular.orggithub.com/­spotify/­heroicwww.ultipa.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidespotify.github.io/­heroicwww.ultipa.com/­document
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatSpotifyUltipa
Initial release2008201420142019
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0commercial
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 languageC++JavaJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesnoyes infovia Elasticsearch
SQL infoSupport of SQLyes infowith proprietary extensionsnono
APIs and other access methodsJDBCHTTP RESTHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
DrizzleHawkular MetricsHeroicUltipa
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