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DBMS > Apache Druid vs. CouchDB vs. Impala vs. MySQL vs. NuoDB

System Properties Comparison Apache Druid vs. CouchDB vs. Impala vs. MySQL vs. NuoDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonImpala  Xexclude from comparisonMySQL  Xexclude from comparisonNuoDB  Xexclude from comparison
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.Analytic DBMS for HadoopWidely used open source RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument storeDocument store
Spatial 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
Score15.47
Rank#40  Overall
#6  Document stores
Score18.65
Rank#37  Overall
#23  Relational DBMS
Score1212.52
Rank#2  Overall
#2  Relational DBMS
Score1.10
Rank#167  Overall
#84  Relational DBMS
Websitedruid.apache.orgcouchdb.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.mysql.comnuodb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stabledocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldev.mysql.com/­docdoc.nuodb.com
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClouderaOracle infosince 2010, originally MySQL AB, then SunNuoDB, Inc.
Initial release20122005201319952013
Current release0.21.0, April 20213.1.1, September 20203.4.0, April 20208.0.26, July 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++C and C++C++
Server operating systemsLinux
OS X
Unix
Android
BSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyesno
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL for queryingnoSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.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
All languages supporting JDBC/ODBCAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infouser defined functions and integration of map-reduceyes infoproprietary syntaxJava, SQL
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possiblenoACID infonot for MyISAM storage engineACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes infotable locks or row locks depending on storage engineyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes infoTemporary table
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 databaseAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept infono user groups or rolesStandard SQL roles/ privileges, Administrative Users

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