Communications Outsourcing

Customer Success

Help Desk

Web and Video Conferencing

Customer Support

Image Recognition

Java Technologies

Software Repositories

Development

Business Intelligence (BI)

Collaboration

Contract Management

Electronic Signature

Interactive Voice Response (IVR)

Supply Chain Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Benefits Administration

Corporate Learning Management

Credentialing

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Storage

Data Center Infrastructure Management

Data Center Outsourcing (USA)

Data Mapping

Data Observability

Data Privacy Management

Fraud Detection

Governance, Risk & Compliance

Hyper-Converged Infrastructure

IT Asset Disposal

IT Asset Management

Integration Platform as a Service (iPaaS)

Log Management

Network Performance Monitoring

Operating Systems

Packet Analyzer

Single Sign-On

Smart Contracts

Software Defined Storage (SDS)

Software Distribution

Solid State Drives

Tape Storage

Unified Endpoint Management (UEM)

Virtual Private Cloud (VPC)

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Content Creation

Digital Signage

Email Management

Email Marketing

Marketing Automation

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Meeting Room Booking

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Acceleration

Sales

Animation

Building Information Modeling (BIM)

Equipment Rental

Insurance Suites

Investment Portfolio Management

Legal Billing

Public Sector Software

Tax Practice Management

Vertical-Specific

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The IBM Integrated Analytics System is a data warehouse built for data science which combines the capabilities of PureData System and Netezza. It comprises a high-performance hardware platform and optimized database query engine software that work together to support various data analysis and business-reporting capabilities.

Teradata Vantage is presented as a modern analytics cloud platform that unifies everything—data lakes, data warehouses, analytics, and new data sources and types. Supports hybrid multi-cloud environments and priced for flexibility, Vantage delivers unlimited intelligence to build the future of business.

Users can deploy Vantage on public clouds (such as AWS, Azure, and GCP), hybrid multi-cloud environments, on-premises with Teradata IntelliFlex, or on commodity hardware with VMware.

Teradata VantageCloud Lake

Teradata VantageCloud Enterprise

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

Standard edition

Enterprise edition

Enterprise Plus edition

IBM Integrated Analytics System

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

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 Integrated Analytics System

Overview

What is IBM Integrated Analytics System?