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DBMS > Drizzle vs. Hazelcast vs. HBase vs. MonetDB

System Properties Comparison Drizzle vs. Hazelcast vs. HBase vs. MonetDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  Xexclude from comparisonMonetDB  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.A widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTableA relational database management system that stores data in columns
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitehazelcast.comhbase.apache.orgwww.monetdb.org
Technical documentationhazelcast.org/­imdg/­docshbase.apache.org/­book.htmlwww.monetdb.org/­Documentation
DeveloperDrizzle project, originally started by Brian AkerHazelcastApache Software Foundation infoApache top-level project, originally developed by PowersetMonetDB BV
Initial release2008200820082004
Current release7.2.4, September 20125.3.6, November 20232.3.4, January 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.yes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Javayes, in SQL, C, R
Triggersno infohooks for callbacks inside the server can be used.yes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoReplicated MapMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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DrizzleHazelcastHBaseMonetDB
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