Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.

Description

DashDB Local, the latest addition to IBM's dashDB suite, enhances the company's hybrid data warehouse strategy by equipping organizations with a highly adaptable architecture that reduces the cost of analytics in the rapidly evolving landscape of big data and cloud computing. This is achievable thanks to a unified analytics engine that supports various deployment methods in both private and public cloud environments, allowing for seamless migration and optimization of analytics workloads. Now available for those who prefer deploying in a hosted private cloud or an on-premises private cloud via a software-defined infrastructure, dashDB Local presents a versatile choice. From an IT perspective, it streamlines deployment and management through the use of container technology, ensuring elastic scalability and straightforward maintenance. On the user side, dashDB Local accelerates the data acquisition process, applies tailored analytics for specific scenarios, and effectively turns insights into actionable operations, ultimately enhancing overall productivity. This comprehensive approach empowers organizations to harness their data more effectively than ever before.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Cloud Yes 
Advanced Query Tool (AQT) Yes 
Cisco AnyConnect No 
Datametica Yes 
DbVisualizer Yes 
Digna Yes 
IBM Cloud Pak for Data Yes 
IBM Cognos Analytics Yes 
IRI Voracity Yes 
Impetus Yes 
Lyftrondata Yes 
Microsoft 365 Yes 
Microsoft Azure Yes 
Nucleon Database Master Yes 
RazorSQL Yes 
SOLIXCloud Yes 
Salesforce No 
Semarchy xDI Yes 
Spark No 
StreamFlux Yes 

Integrations

IBM Cloud Yes 
Advanced Query Tool (AQT) No 
Cisco AnyConnect Yes 
Datametica No 
DbVisualizer No 
Digna No 
IBM Cloud Pak for Data No 
IBM Cognos Analytics No 
IRI Voracity No 
Impetus No 
Lyftrondata No 
Microsoft 365 No 
Microsoft Azure No 
Nucleon Database Master No 
RazorSQL No 
SOLIXCloud No 
Salesforce Yes 
Semarchy xDI No 
Spark Yes 
StreamFlux No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/netezza

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www-01.ibm.com/common/ssi/cgi-bin/ssialias

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control Yes 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge No 

Alternatives

Alternatives

pgDash Reviews

pgDash

RapidLoop
Yellowbrick Reviews

Yellowbrick

Yellowbrick Data
DASH ATS Reviews

DASH ATS

DASH
Plotly Dash Reviews

Plotly Dash

Plotly