Vertica

Category: Database Connectors

Introduction

This document is created to help setup a mindzieDataDesigner connector to Vertica database. The mindzieDataDesigner is the ETL tool used by mindzieStudio to convert database tables to process mining event logs. The purpose of this document is to help creating the connection string and opening ports on the firewall if required.

Overview

The Vertica connector provides high-performance connectivity to Vertica analytical databases. Optimized for big data analytics and complex queries, this connector supports Vertica's columnar storage and massively parallel processing capabilities.

System Requirements

  • Database System: Vertica 9.0 or later (Vertica 11+ recommended)
  • Deployment: On-premise, Vertica on AWS, Vertica on Azure, Vertica on Google Cloud
  • Platform Support: Linux, Windows
  • Dependencies: Vertica ADO.NET driver

Connection String Format

Basic Format

Server=hostname;Port=5433;Database=database_name;User=username;Password=password;

Connection Parameters

Parameter Description Required Example
Server Vertica server hostname Yes vertica-cluster.company.com
Port Server port number No 5433 (default)
Database Database name Yes analytics_db
User Username Yes mindzie_user
Password Password Yes SecurePassword123
ConnectionTimeout Connection timeout No 60
SSL Enable SSL connection No true

Connection Examples

Standard Connection

Server=vertica-node1.company.com;Port=5433;Database=process_analytics;User=mindzie_user;Password=SecurePassword123;

SSL-Enabled Connection

Server=vertica-cluster.company.com;Port=5433;Database=analytics_db;User=analyst;Password=password;SSL=true;

Cloud Connection

Server=vertica-aws.company.com;Port=5433;Database=cloud_analytics;User=cloud_user;Password=CloudPassword123;SSL=true;

mindzie Server Access: For enhanced security, you can configure your firewall to only allow connections from mindzie servers by whitelisting specific IP addresses. Contact mindzie support to obtain the current IP addresses for the mindzie servers you are using.


💡 Tip: Design your queries to take advantage of Vertica's columnar storage by selecting only necessary columns and using efficient WHERE clause predicates.

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