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

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonObjectBox  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.Extremely fast embedded database for small devices, IoT and MobileHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSTime Series DBMSObject oriented DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.hawkular.orgobjectbox.iowww.ultipa.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.objectbox.iowww.ultipa.com/­document
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatObjectBox LimitedUltipa
Initial release2008201420172019
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Data schemeyesschema-freeyes
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
SQL infoSupport of SQLyes infowith proprietary extensionsnono
APIs and other access methodsJDBCHTTP RESTProprietary native APIRESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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 Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandraonline/offline synchronization between client and server
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
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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, HTTPnoyes
More information provided by the system vendor
DrizzleHawkular MetricsObjectBoxUltipa
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