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DBMS > Apache Druid vs. MySQL vs. Netezza

System Properties Comparison Apache Druid vs. MySQL vs. Netezza

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMySQL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWidely used open source RDBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.94
Rank#93  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score1039.46
Rank#2  Overall
#2  Relational DBMS
Score8.15
Rank#46  Overall
#30  Relational DBMS
Websitedruid.apache.orgwww.mysql.comwww.ibm.com/­products/­netezza
Technical documentationdruid.apache.org/­docs/­latest/­designdev.mysql.com/­doc
DeveloperApache Software Foundation and contributorsOracle infosince 2010, originally MySQL AB, then SunIBM
Initial release201219952000
Current release30.0.0, June 20249.0.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
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.
Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept infono user groups or rolesUsers with fine-grained authorization concept

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More resources
Apache DruidMySQLNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

Imply Announces the Availability of Imply Polaris, a Database-as-a-Service Built from Apache Druid, on Microsoft Azure
26 June 2024, Business Wire

Apache Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers’ Choice Awards
26 January 2024, Datanami

'Lucifer' Botnet Turns Up the Heat on Apache Hadoop Servers
21 February 2024, Dark Reading

New DDoS malware Attacking Apache big-data stack, Hadoop, & Druid Servers
26 February 2024, GBHackers

Apache Druid Takes Its Place In The Pantheon Of Databases
16 June 2022, The Next Platform

provided by Google News

Latest MySQL release is underwhelming, say some DB experts
16 July 2024, The Register

A Complete Guide on MySQL Workbench
12 July 2024, Simplilearn

MySQL vs. MariaDB: a brief comparison guide
23 July 2024, TechSpot

How to install MySQL on Windows
17 July 2024, TheServerSide.com

What to be aware before importing MariaDB .sql into a MySQL database?
11 July 2024, SitePoint

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Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Roundup: IBM, Arista, AboveNet
31 May 2024, Data Center Knowledge

Sorting out Netezza and Oracle Exadata Data Warehouse Appliance Pricing
30 October 2023, InformationWeek

Migrating your Netezza data warehouse to Amazon Redshift
27 May 2020, AWS Blog

provided by Google News



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