DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Impala vs. Netezza

System Properties Comparison Impala vs. Netezza

Please select another system to include it in the comparison.

Our visitors often compare Impala and Netezza with Microsoft SQL Server, Oracle and Greenplum.

Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.74
Rank#37  Overall
#23  Relational DBMS
Score20.33
Rank#30  Overall
#18  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.ibm.com/­analytics/­netezza
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperClouderaIBM
Initial release20132000
Current release3.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
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 languageC++
Server operating systemsLinuxLinux infoincluded in appliance
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

provided by Google News

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

What is Google up to with Anthos? More toys dropped for Kubernetes-style hybrid cloud
18 September 2019, The Register

GitHub gobbles biz used by NASA, Google, etc to search code for bugs and security holes in Mars rovers, apps...
18 September 2019, The Register

IT now stands for Intermediate Targets: Tech providers pwned by snoops eyeing up customers – report
19 September 2019, The Register

provided by Google News

Job opportunities

Consultant, Strategy & Analytics, Analytics & Cognitive
Deloitte, New York, NY

Business Analyst
Priceline.com, Norwalk, CT

Business Intelligence Developer
Early Warning Services, Scottsdale, AZ

Architect, GeForce NOW - Cloud
NVIDIA, Santa Clara, CA

Principal Database Engineer
Surescripts, LLC, Minneapolis, MN

Senior ETL Developer, Business Intelligence Services (BIS)
Sony Interactive Entertainment PlayStation, San Mateo, CA

Data Analyst I
Nelnet, Madison, WI

Trainer
Tableau, Seattle, WA

Data Visualization Specialist - Consultant (Tableau) - Chicago, IL
Clarity Insights, Chicago, IL

Quantitative Analyst I
Fannie Mae, Washington, DC

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here