|
gptkbp:instance_of
|
gptkb:Data
|
|
gptkbp:acquired_by
|
gptkb:IBM
|
|
gptkbp:architecture
|
shared-nothing architecture
|
|
gptkbp:competes_with
|
gptkb:Oracle_Exadata
gptkb:Microsoft_SQL_Server
gptkb:Teradata
|
|
gptkbp:designed_for
|
analytics
|
|
gptkbp:developed_by
|
gptkb:IBM
|
|
gptkbp:features
|
massively parallel processing
|
|
gptkbp:has
|
gptkb:software
user-friendly interface
data security features
proprietary hardware
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Netezza
|
|
gptkbp:is_available_on
|
gptkb:cloud_computing
premises
|
|
gptkbp:is_compatible_with
|
gptkb:Python
gptkb:R
gptkb:Hadoop
gptkb:Spark
|
|
gptkbp:is_known_for
|
scalability
ease of use
fast query performance
|
|
gptkbp:is_optimized_for
|
large data sets
|
|
gptkbp:is_part_of
|
gptkb:IBM_Cloud_Pak_for_Data
IBM Analytics portfolio
|
|
gptkbp:is_used_by
|
large enterprises
|
|
gptkbp:is_used_in
|
gptkb:Telecommunications
gptkb:government
gptkb:financial_services
healthcare
retail
|
|
gptkbp:offers
|
data compression
data visualization capabilities
|
|
gptkbp:provides
|
real-time analytics
data integration tools
data governance tools
high-performance data processing
|
|
gptkbp:release_date
|
gptkb:2000
|
|
gptkbp:supports
|
gptkb:SQL
big data analytics
data lakes
|
|
gptkbp:used_in
|
business intelligence
|
|
gptkbp:uses
|
gptkb:Postgre_SQL
|
|
gptkbp:bfsParent
|
gptkb:IBM
|
|
gptkbp:bfsLayer
|
4
|