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DBMS > Druid vs. Netezza vs. SwayDB

System Properties Comparison Druid vs. Netezza vs. SwayDB

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataData warehouse and analytics appliance part of IBM PureSystemsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value 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
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#319  Overall
#55  Key-value stores
Websitedruid.apache.orgwww.ibm.com/­analytics/­netezzaswaydb.io
Technical documentationdruid.apache.org/­docs/­latest/­design
DeveloperMetamarkets Group and contributorsIBMSimer Plaha
Initial release201220002018
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinux
OS X
Unix
Linux infoincluded in appliance
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLSQL support via Apache Calcite adapteryesno
APIs and other access methodsJSON over HTTPJDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlno infoavailable via extensionsUsers with fine-grained authorization conceptno

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More resources
DruidNetezza infoAlso called PureData System for Analytics by IBMSwayDB
Recent citations in the news

Introducing Apache Druid
17 January 2020, insideBIGDATA

Druid Developer Expands Query Options
17 April 2020, Datanami

Druid Developer Ramps Cloud-Native Approach
10 December 2019, Datanami

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

provided by Google News

Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Five questions investors are asking about Snowflake's IPO
2 August 2020, SiliconANGLE

Migrating your Netezza data warehouse to Amazon Redshift
28 May 2020, idk.dev

insideBIGDATA Latest News – 7/14/2020
14 July 2020, insideBIGDATA

provided by Google News

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