Name: biGENIUS
Author: biGENIUS

Customer Training

Help Desk

Web and Video Conferencing

Customer Support

Batch Management Software

Functional Testing

Development

Business Intelligence (BI)

Collaboration

Data Extraction

Dropshipping

Emissions Management

Intellectual Property (IP) Management

Privacy Policy Generators

Statistical Analysis

Workflow

Enterprise

Accounting

Accounts Payable

Crypto Tax

Online Trading

Subscription Management

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Compliance

HR Management

Payroll

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

AI Agent Builder

AI Governance

Authorization

Cloud Storage

Custom Software Development Services

Data Center Virtualization

DevSecOps

Fraud Detection

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Managed Public Cloud Infrastructure

Network Performance Monitoring

Secure Email Gateway

Sensitive Data Discovery

Session Border Controllers

System Monitoring

Time Series Databases

Tower Servers

Web Portal

Information Technology

A/B Testing

AI Image Generation

Ad Serving & Retargeting

All-in-One Marketing

Audience Engagement

Content Management

Email Marketing

Market Intelligence

Marketing Automation

Social Media Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Lead-to-Account Matching and Routing

Sales Enablement

Sales

Cloud Infrastructure Entitlement Management

Secure Service Edge (SSE)

Security

Architecture

Banking

Digital Forensics

Financial Services CRM

Internet of Medical Things

Vertical-Specific

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OpenText Vertica

OpenText

Oracle Autonomous Data Warehouse

Oracle

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Apache Hive

Apache

SAP BW/4HANA

Cloudera Enterprise Data Hub

Cloudera

IBM Netezza Performance Server

Cloudera Data Platform

DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

Db2 Standard Edition

Db2 Advanced Edition

Db2 on Cloud Standard

Db2 on Cloud Enterprise

Db2 Warehouse on Cloud Flex One

Db2 Warehouse on Cloud Flex

Db2 Warehouse on Cloud Flex Performance

Db2 Warehouse on Cloud Flex for AWS

Db2 Warehouse on Cloud Flex Performance for AWS

Db2 on Cloud Lite

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

Google BigQuery

biGENIUS

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

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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