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What is Yellowbrick?

As conventional systems like Netezza struggle to stay relevant and cloud-based solutions such as Snowflake are hindered by their reliance on standard hardware and virtual machines, Yellowbrick emerges as a solution that overcomes the challenges of cost and flexibility in both on-premises and cloud environments. This innovative platform enables users to achieve performance levels that are 100 times greater than traditional expectations, allowing thousands of users to run ad hoc queries at speeds that are 10 to 100 times more efficient than those provided by legacy or cloud-only data warehouses, even when handling massive datasets in the petabyte range. Furthermore, Yellowbrick allows for the concurrent querying of real-time and archived data, significantly improving data accessibility for organizations. It offers the versatility to deploy applications across various settings—be it on-premises or in multiple public clouds—while ensuring consistent performance without incurring additional data egress costs. Moreover, Yellowbrick's fixed-price subscription model provides organizations with budget predictability and the potential for significant savings; as more queries are executed, the cost per query decreases, making it an economically advantageous solution for large-scale data requirements. In essence, Yellowbrick empowers businesses to enhance their data strategies while enjoying exceptional performance and unmatched flexibility, making it an invaluable asset in today’s data-driven landscape. Ultimately, this platform not only meets but exceeds the evolving demands of modern data management.

What is IBM Netezza Performance Server?

This solution, which is fully compatible with Netezza, provides a smooth command-line upgrade option that enhances user experience. It can be utilized in various configurations, including on-premises, cloud-based, or hybrid setups. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as an advanced platform designed for data warehousing and analytics, effectively addressing the needs of both cloud and on-premises environments. With enhanced in-database analytics capabilities, this next-gen Netezza empowers users to perform data science and machine learning operations on datasets that can scale up to petabytes. Its robust features include failure detection and rapid recovery systems, making it ideal for enterprise applications. Upgrading existing systems is simplified by using a unified command-line interface. Moreover, the platform allows users to query multiple systems as if they were a single entity, enhancing operational efficiency. Users can choose the closest data center or availability zone, define their preferred compute units and storage requirements, and initiate setup with ease. Additionally, the IBM® Netezza® Performance Server is available on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be deployed on a private cloud, utilizing the full potential of IBM Cloud Pak for Data System. This adaptability allows organizations to customize their deployment according to their unique requirements and technological infrastructure, ensuring they can optimize their data strategies effectively. Furthermore, with its user-friendly features, businesses can easily scale their operations as needed.

Media

Media

Integrations Supported

Advanced Query Tool (AQT)
Coginiti
DbVisualizer
IBM watsonx.data
RazorSQL
Progress DataDirect
TEOCO SmartHub Analytics
Tonic

Integrations Supported

Advanced Query Tool (AQT)
Coginiti
DbVisualizer
IBM watsonx.data
RazorSQL
Amazon S3
DBHawk
Digna
IBM Cloud
IBM Cloud Pak for Data
IRI Voracity
Impetus
Microsoft 365
SAS Federation Server
Style Intelligence

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Yellowbrick Data

Date Founded

2014

Company Location

United States

Company Website

www.yellowbrick.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/netezza

Categories and Features

Data Management

Not specified

OLAP Databases

Not specified

Categories and Features

Data Warehouse

Not specified

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