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DBMS > Apache Druid vs. Drizzle vs. IBM Cloudant vs. Quasardb

System Properties Comparison Apache Druid vs. Drizzle vs. IBM Cloudant vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonQuasardb  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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Database as a Service offering based on Apache CouchDBDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.27
Rank#93  Overall
#48  Relational DBMS
#6  Time Series DBMS
Score3.49
Rank#91  Overall
#15  Document stores
Score0.23
Rank#285  Overall
#23  Time Series DBMS
Websitedruid.apache.orgwww.ibm.com/­cloud/­cloudantquasardb.net
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.ibm.com/­docs/­Cloudantdoc.quasardb.net
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014quasardb
Initial release2012200820102009
Current release0.21.0, April 20217.2.4, September 20123.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ErlangC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
hostedBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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 indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCRESTful HTTP/JSON APIHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptno
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaseCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidDrizzleIBM CloudantQuasardb
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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Apache DruidDrizzleIBM CloudantQuasardb
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