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DBMS > Drizzle vs. Hawkular Metrics vs. Hazelcast vs. HBase vs. MarkLogic

System Properties Comparison Drizzle vs. Hawkular Metrics vs. Hazelcast vs. HBase vs. MarkLogic

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  Xexclude from comparisonMarkLogic  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.A widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSTime Series DBMSKey-value storeWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitewww.hawkular.orghazelcast.comhbase.apache.orgwww.marklogic.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docshbase.apache.org/­book.htmldocs.marklogic.com
DeveloperDrizzle project, originally started by Brian AkerCommunity supported by Red HatHazelcastApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.
Initial release20082014200820082001
Current release7.2.4, September 20125.3.6, November 20232.3.4, January 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free, schema definition possibleschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesoptions 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.noyes infothe object must implement a serialization strategynoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query languagenoyes infoSQL92
APIs and other access methodsJDBCHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC
C++
Java
PHP
Go
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Javayes infovia XQuery or JavaScript
Triggersno infohooks for callbacks inside the server can be used.yes infovia Hawkular Alertingyes infoEventsyesyes
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 Cassandrayes infoReplicated MapMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transaction
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.noyesyesyes, with Range Indexes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levels

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More resources
DrizzleHawkular MetricsHazelcastHBaseMarkLogic
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