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About

100% compatible with Netezza. Single command-line upgrade path. Available on premises, on cloud or hybrid. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is an advanced data warehouse and analytics platform available both on premises and on cloud. With enhancements to in-database analytics capabilities, this next generation of Netezza enables you to do data science and machine learning with data volumes scaling into the petabytes. Failure detection and fast failure recovery. Single command-line upgrade to existing systems. Ability to query many systems as one. Choose the data center or availability zone closest to you, set the number of compute units and amount of storage required to run, and go. IBM® Netezza® Performance Server for IBM Cloud Pak® for Data is available on IBM Cloud®, Amazon Web Services (AWS) and Microsoft Azure. Deployable on a private cloud, Netezza is powered by IBM Cloud Pak for Data System.

About

As the newest edition to the IBM dashDB family, dashDB Local rounds out IBM's hybrid data warehouse strategy, providing organizations the most flexible architecture needed to lower the cost model of analytics in the dynamic world of big data and the cloud. How is this possible? Through a common analytics engine, with different deployment options across private and public clouds, analytics workloads can be moved and optimized with ease. dashDB Local is now an option when you prefer deployment on a hosted private cloud or on-premises private cloud through a software-defined infrastructure. From an IT standpoint, dashDB Local simplifies deployment and management through container technology, with elastic scaling and easy maintenance. From a user standpoint, dashDB Local provides the speed needed to quickly cycle through the process of data acquisition, applies the right analytics to meet a specific use case, and operationalizes the insights.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and analysts that require a data warehouse and analytics platform to do data science and machine learning with data volumes

Audience

Organizations seeking a hybrid data warehousing solution to simplify deployment and management through container technology

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/netezza

Company Information

IBM
Founded: 1911
United States
www-01.ibm.com/common/ssi/cgi-bin/ssialias

Alternatives

Alternatives

pgDash

pgDash

RapidLoop
Plotly Dash

Plotly Dash

Plotly
Yellowbrick

Yellowbrick

Yellowbrick Data
DASH ATS

DASH ATS

DASH
3X Code Conversion

3X Code Conversion

3X Data Engineering

Categories

Data Warehouse Supported

Categories

Data Warehouse Supported

Data Warehouse Features

Ad hoc Query Not Supported
Analytics Not Supported
Data Integration Not Supported
Data Migration Not Supported
Data Quality Control Supported
ETL - Extract / Transfer / Load Supported
In-Memory Processing Not Supported
Match & Merge Not Supported

Integrations

IBM Cloud Supported
Adobe Document Cloud Not Supported
Advanced Query Tool (AQT) Supported
Amazon Web Services (AWS) Supported
Arcion Supported
Cisco AnyConnect Not Supported
Coginiti Supported
Datametica Supported
Digna Supported
IBM Cloud Pak for Data Supported
Immuta Supported
Lyftrondata Supported
Microsoft 365 Supported
SAP Cloud Platform Not Supported
SAS Federation Server Supported
SMART Business Suite Supported
SOLIXCloud CDP Supported
Spark Not Supported
StreamFlux Supported

Integrations

IBM Cloud Supported
Adobe Document Cloud Supported
Advanced Query Tool (AQT) Not Supported
Amazon Web Services (AWS) Not Supported
Arcion Not Supported
Cisco AnyConnect Supported
Coginiti Not Supported
Datametica Not Supported
Digna Not Supported
IBM Cloud Pak for Data Not Supported
Immuta Not Supported
Lyftrondata Not Supported
Microsoft 365 Not Supported
SAP Cloud Platform Supported
SAS Federation Server Not Supported
SMART Business Suite Not Supported
SOLIXCloud CDP Not Supported
Spark Supported
StreamFlux Not Supported
Claim IBM Netezza Performance Server and update features and information
Claim IBM Netezza Performance Server and update features and information
Claim dashDB Local and update features and information
Claim dashDB Local and update features and information