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DBMS > Drizzle vs. Hawkular Metrics vs. HBase vs. Hive vs. jBASE

System Properties Comparison Drizzle vs. Hawkular Metrics vs. HBase vs. Hive vs. jBASE

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonjBASE  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.Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopA robust multi-value DBMS comprising development tools and middleware
Primary database modelRelational DBMSTime Series DBMSWide column storeRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitewww.hawkular.orghbase.apache.orghive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookRocket Software (formerly Zumasys)
Initial release20082014200820121991
Current release7.2.4, September 20122.3.4, January 20213.1.3, April 20225.7
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMAIX
Linux
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesoptional
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.nonoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like DML and DDL statementsEmbedded SQL for jBASE in BASIC
APIs and other access methodsJDBCHTTP RESTJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesAccess rights can be defined down to the item level

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More resources
DrizzleHawkular MetricsHBaseHivejBASE
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