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DBMS > Drizzle vs. EDB Postgres vs. HBase vs. MarkLogic

System Properties Comparison Drizzle vs. EDB Postgres vs. HBase vs. MarkLogic

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEDB Postgres  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Wide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSRelational DBMSWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitewww.enterprisedb.comhbase.apache.orgwww.progress.com/­marklogic
Technical documentationwww.enterprisedb.com/­docshbase.apache.org/­book.htmlwww.progress.com/­marklogic/­documentation
DeveloperDrizzle project, originally started by Brian AkerEnterpriseDBApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.
Initial release2008200520082001
Current release7.2.4, September 201214, December 20212.3.4, January 202111.0, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infoBSD for PostgreSQL-componentsOpen Source infoApache version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyesyesschema-free, schema definition possibleschema-free infoSchema can be enforced
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 infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infostandard with numerous extensionsnoyes infoSQL92
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoCoprocessors in Javayes infovia XQuery or JavaScript
Triggersno infohooks for callbacks inside the server can be used.yesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoby hash, list or rangeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyes, with Range Indexes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess 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
DrizzleEDB PostgresHBaseMarkLogic
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