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DBMS > Apache Druid vs. CouchDB vs. Drizzle vs. SQream DB

System Properties Comparison Apache Druid vs. CouchDB vs. Drizzle vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDrizzle  Xexclude from comparisonSQream DB  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 dataA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitedruid.apache.orgcouchdb.apache.orgsqream.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stabledocs.sqream.com
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDrizzle project, originally started by Brian AkerSQream Technologies
Initial release2012200520082017
Current release29.0.1, April 20243.3.3, December 20237.2.4, September 20122022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Unix
Android
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Types
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 indexesyesyes infovia viewsyesno
SQL infoSupport of SQLSQL for queryingnoyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJDBC.Net
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnouser defined functions in Python
Triggersnoyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoimproved architecture with release 2.0Shardinghorizontal and vertical partitioning
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
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databasePluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Apache DruidCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DrizzleSQream DB
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