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DBMS > Apache Druid vs. HBase vs. MonetDB

System Properties Comparison Apache Druid vs. HBase vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHBase  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on Apache Hadoop and on concepts of BigTableA relational database management system that stores data in columns
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitedruid.apache.orghbase.apache.orgwww.monetdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designhbase.apache.org/­book.htmlwww.monetdb.org/­Documentation
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetMonetDB BV
Initial release201220082004
Current release29.0.1, April 20242.3.4, January 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions 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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL for queryingnoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
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 infoCoprocessors in Javayes, in SQL, C, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACID
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.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Apache DruidHBaseMonetDB
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