Name: Datalytyx Palladium
Author: Datalytyx

Help Desk

Web and Video Conferencing

Customer Support

Cross-Browser Testing

PHP Frameworks

Development

Learning Management

Education

Business Intelligence (BI)

Collaboration

Demand Planning

Enterprise Content Management

Enterprise Feedback Management

Facility Management

Knowledge Management

Payment Facilitation

Enterprise

Accounting

Blockchain Payments

Cryptocurrency Wallets

Hedge Fund

Finance and Accounting

ACA Compliance

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Change Management

Cloud Storage

Embedded Database

Endpoint Security

Fraud Detection

Function as a Service (FaaS)

Graph Database

Infrastructure-as-a-Service

Integration Platform as a Service (iPaaS)

Network Attached Storage

Network Performance Monitoring

Object Storage

Privileged Access Management

Rack Servers

Storage as a Service (STaaS)

Technology Business Management

Value Stream Management

Website Hosting

Information Technology

A/B Testing

Account-Based Marketing (ABM)

Ad Serving & Retargeting

All-in-One Marketing

Contact Management

Content Management

Creative Management

Customer Advocacy

Email Marketing

Marketing Automation

Social Media Management

Survey & Forms Building

Translation

Web Analytics

Marketing

Project Management

Video Conferencing

Professional Services

Auction Software

Customer Relationship Management (CRM)

Headless eCommerce

Lead Management

Sales Incentive Compensation Management

Sales

Data-Centric Audit Protection (DCAP)

Database Security

Operational Technology (OT) Security

Security

Aviation

Civil Engineering

Computer-Aided Manufacturing (CAM)

Healthcare Learning Management

Lease Management

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Datalytyx headquartered in London offers Palladium, which they describe as a cloud native, pre-integrated, fully managed platform for data and AI that can store and analyse enormous volumes of IoT time-series data alongside traditional structured data. The vendor aims to reduce complexity, and “just switch it on” in less than one day.

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

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

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Datalytyx Palladium

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

Datalytyx

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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Palladium

Palladium

Overview

What is Palladium?