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DBMS > Druid vs. MemSQL vs. MySQL

System Properties Comparison Druid vs. MemSQL vs. MySQL

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonMemSQL  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storageWidely used open source RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series DBMS
Score5.50
Rank#64  Overall
#35  Relational DBMS
Score1261.57
Rank#2  Overall
#2  Relational DBMS
Websitedruid.apache.orgwww.memsql.comwww.mysql.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.memsql.comdev.mysql.com/­doc
DeveloperMetamarkets Group and contributorsMemSQL Inc.Oracle infosince 2010, originally MySQL AB, then Sun
Initial release201220131995
Current release7.1.4, July 20208.0.21, 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree developer edition availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaC++C and C++
Server operating systemsLinux
OS X
Unix
Linux info64 bit version requiredFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapteryes, but no triggers and foreign keysyes infowith proprietary extensions
APIs and other access methodsJSON over HTTPJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency only within each nodeImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOnly isolation level: READ COMMITEDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlno infoavailable via extensionsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
DruidMemSQLMySQL
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Recent citations in the news

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17 January 2020, insideBIGDATA

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