Help Desk

Web and Video Conferencing

Customer Support

No-Code Development

Development

Admissions and Enrollment

School Management

Education

Business Intelligence (BI)

Collaboration

Digital Rights Management (DRM)

Enterprise Content Management

Manufacturing Execution

PDF Editors

Privacy Policy Generators

Statistical Analysis

Visitor Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Referral

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Access Gateways

Application Lifecycle Management (ALM)

Application Performance Management (APM)

Cloud Storage

Complex Event Processing

Composable Infrastructure

Configuration Management Databases

Fraud Detection

Integration Platform as a Service (iPaaS)

Internet Performance Monitoring

Log Management

Network Operating Systems

Network Performance Monitoring

SIP Trunking

SOA Application Gateways

Telecom Expense Management (TEM)

Unified Communications Monitoring

Vendor Risk Management

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Blogging

Channel Management

Content Management

Email Deliverability

Email Marketing

Employee Advocacy

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Writing and Proofreading Tools

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Social Commerce

Sales

Chargeback Management

Clinical Data Management

Construction Management

Fleet Management

Membership Management

Municipal

Online Fax

Restaurant POS

Roofing

Simulation

Text Analysis

Travel Agency

Warranty Management

Vertical-Specific

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Netezza Performance Server (NPS) is an add-on data warehouse solution available on Cloud Pak for Data System platform, built over open source and optimized for High Performance Analytics with built-in hardware acceleration. Netezza Performance Server was previously named IBM Performance Server for PostgreSQL (IPS).

Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs optimizations that let transaction processing, analytics, machine learning, and mixed workloads run faster. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency.

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A Data Warehouse Appliance (DWA) is generally a pre-configured architecture specifically dedicated to big data analytics and as such emphasizes simplicity, focus, and high performance with data over general computational needs.

Data Warehouse

Likelihood to Recommend

IBM is a global technology and innovation company headquartered in Armonk, NY.  It is one of the largest technology and consulting employers in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and advanced servers and supercomputers. Utilizing its business consulting, technology and R&amp;D expertise, IBM says it helps clients become "smarter" as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&amp;D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

High-Volume Data Processing

The product's ability to efficiently process large amounts of data.

Data Warehouse Management

The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

Administrative Automation

The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

Self-Optimization

The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Data Exploration

Ability to explore data and develop insights

Visualization

The product’s support and tooling for analysis and visualization of data.

Data Security

Tools and features that help keep data secure from unauthorized access or internal exposure.

At-Rest Data Encryption

Data at rest is encrypted, requiring decryption to read the underlying data.

In-Transit Data Encryption

Data is transmitted in an encrypted state, preventing interception of raw in-flight data.

In-Use Data Encryption

Data remains encrypted even when stored in non-persistent storage (RAM, CPU caches, and CPU registers). This prevents access to data through malware on an individual device.

Data Redaction

The product's capability to return redacted data in place of actual data when queried. For instance, a redacted query for the phone number 555-5555 could return ***-**55.

Data Masking

The product's capability to use real data to create false data with an identical structure. For instance, this could be used to generate testing data or training data that reflects the data structure without exposing sensitive information.

Access Control and Security

Access control means being able to determine who has access to which data.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Location-Based Data Governance

Refers to how well the software enables users to comply with data privacy standards regarding the use of precise location data for customers.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

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IBM Netezza Performance Server 2022-03-20 05:09:34

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IBM Netezza Performance Server 2022-03-21 13:05:45

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IBM Netezza Performance Server

Overview

What is IBM Netezza Performance Server?