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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.

What is Acho?

Bring together all your data into a unified platform that boasts over 100 integrated API data connectors, enabling seamless access for your entire team. With simple point-and-click methods, you can easily transform your data without any hassle. Build robust data pipelines using built-in features for data manipulation and automated scheduling, which drastically cuts down the time required for manual data handling. Utilize Workflow to enhance automation across databases, business intelligence tools, and a variety of applications. In addition, a wide range of no-code tools for data cleaning and transformation eliminates the need for intricate coding or formulas. Keep in mind that data's true potential is realized when valuable insights are derived from it. Upgrade your database into a formidable analytical engine, complete with native cloud-based BI capabilities. As all data projects on Acho can be analyzed and visualized directly on our Visual Panel without needing extra connectors, insights are delivered rapidly while maintaining an accessible user experience. This comprehensive strategy not only facilitates quick and informed decision-making for teams but also fosters a collaborative environment where data-driven strategies can thrive.

Media

Media

Integrations Supported

Amazon S3
Datametica
DbVisualizer
Digna
HubSpot CRM
HubSpot Customer Platform
IBM Cloud Pak for Data
IBM watsonx.data
Immuta
Microsoft Azure
MongoDB
Nucleon Database Master
RazorSQL
SMART Business Suite
SOLIXCloud
SOLIXCloud CDP
Salesforce
Shopify
Style Intelligence

Integrations Supported

Amazon S3
Datametica
DbVisualizer
Digna
HubSpot CRM
HubSpot Customer Platform
IBM Cloud Pak for Data
IBM watsonx.data
Immuta
Microsoft Azure
MongoDB
Nucleon Database Master
RazorSQL
SMART Business Suite
SOLIXCloud
SOLIXCloud CDP
Salesforce
Shopify
Style Intelligence

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/netezza

Company Facts

Organization Name

Acho

Date Founded

2020

Company Location

United States

Company Website

acho.io

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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