Welcome
Requirements Guide
Unica+ Products
This chapter covers system requirement details for HCL Unica+ products.
MaxAI CDM Apache Airflow Requirements
This topic provides the system requirements for using HCL MaxAI CDM with Apache Airflow.

License Guide
Requirements Guide
- Unica Products
  This chapter covers system requirement details for HCL Unica products.
- Unica+ Products
  This chapter covers system requirement details for HCL Unica+ products.
  - Overview
    This document lists the software environments and minimum system requirements recommended for HCL Unica+ products.
  - Minimum Hardware Requirements
    This section describes the Unica+ components minimum system requirements to install, configure, and run the applications successfully.
  - Supported Environments Matrix
    This section provides an overview of the supported software components for deploying the HCL Unica+ suite of products.
  - MaxAI CDM Apache Airflow Requirements
    This topic provides the system requirements for using HCL MaxAI CDM with Apache Airflow.
  - MaxAI Supported LLMs
    HCL MaxAI supports both cloud-hosted and on-premises LLM deployments.
- CDP System Requirements
  The CDP deployment consists of microservices-based components deployed on a containerization platform and Virtual Machine (VM) based deployment.
- Other Software Support and Configurations
  This chapter covers client browser support, directory server support, authentication provider support, Kafka support, caching, reporting, and virtualization support for HCL Unica products.
- Supported Environments Revisions
  This section provides an overview of changes in supported software for version 26.1 of HCL Unica products.
Fast Upgrade Guide
Reporting Guides

MaxAI CDM Apache Airflow Requirements

This topic provides the system requirements for using HCL MaxAI CDM with Apache Airflow.

This topic provides the system requirements required for using HCL MaxAI CDM.


Component	Version	Notes
Apache Airflow	Version 3.1.2	Apache Airflow 3.1.2 or higher is required to orchestrate the DAG (Directed Acyclic Graph) pipeline. A Persistent Volume (PV) must be configured within Kubernetes to store all DAGs, DDLs (Data Definition Language), configuration files, and other pipeline artifacts.