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DBMS > Netezza vs. Spark SQL

System Properties Comparison Netezza vs. Spark SQL

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Our visitors often compare Netezza and Spark SQL with Oracle, Snowflake and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.82
Rank#36  Overall
#22  Relational DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Websitewww.ibm.com/­products/­netezzaspark.apache.org/­sql
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIBMApache Software Foundation
Initial release20002014
Current release3.1.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemsLinux infoincluded in applianceLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization conceptno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSpark SQL
Recent citations in the news

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

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

IBM's New Deal: What the Heck is Netezza?
20 September 2010, Wall Street Journal

Best Data Warehouse Tools & Solutions 2021
23 September 2021, Server Watch

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, Wall Street Journal

provided by Google News

Online workshop: Data Science with Python and Spark
21 September 2021, Market Research Telecast

Databricks raises $1.6B more to boost data lakehouse
31 August 2021, TechTarget

Best Data Warehouse Tools for Managing Your Data | ESF
24 September 2021, Enterprise Storage Forum

Beginner's Guide To Machine Learning With Apache Spark
16 July 2021, Analytics India Magazine

Hadoop vs. Spark: Comparing the two big data frameworks
7 May 2021, TechTarget

provided by Google News

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