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DBMS > Apache Druid vs. MonetDB vs. Quasardb vs. Riak TS

System Properties Comparison Apache Druid vs. MonetDB vs. Quasardb vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA relational database management system that stores data in columnsDistributed, high-performance timeseries databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSTime Series 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
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitedruid.apache.orgwww.monetdb.orgquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designwww.monetdb.org/­Documentationdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation and contributorsMonetDB BVquasardbOpen Source, formerly Basho Technologies
Initial release2012200420092015
Current release29.0.1, April 2024Dec2023 (11.49), December 20233.14.1, January 20243.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++Erlang
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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.nonono
Secondary indexesyesyesyes infowith tagsrestricted
SQL infoSupport of SQLSQL for queryingyes infoSQL 2003 with some extensionsSQL-like query languageyes, limited
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes, in SQL, C, RnoErlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding via remote tablesSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailno

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More resources
Apache DruidMonetDBQuasardbRiak TS
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