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Quick Start Guide

Get Autonify operational in under 2 minutes. This guide walks through connecting your first data source and running automated discovery agents.

VIDEO TUTORIAL⏱️ 2 min

📹 Complete Setup in 2 Minutes

Watch how to connect your first data source, configure AI agents, and start discovering your data automatically. From login to full data catalogue in under 2 minutes.

Prerequisites​

Before starting, ensure you have:

  • Autonify platform access credentials
  • Database connection details (host, port, database name, username, password)
  • Appropriate network access to your data source

Step 1: Connect Your Data Source​

Add a New Connector​

  1. Navigate to the Connectors section
  2. Click Add Connector
  3. Select your database type (PostgreSQL, MySQL, SQL Server, etc.)
  4. Click Next

Add Connector Selection Screen

Configure Connection Details​

Enter your database connection information:

  • Name: Descriptive name for your data source
  • Host: Database server address
  • Port: Database port number
  • Database Name: Target database
  • Username: Database user
  • Password: Authentication credentials

Connection Configuration Form

Test and Create Connection​

  1. Click Test Connection to verify connectivity
  2. Wait for the success confirmation
  3. Click Create to save the connector

Connection Test Success

Step 2: Configure Team Data Source​

Select or Create Team​

  1. Open an existing team or create a new one
  2. Click Create First Data Source if this is your team's first source

Team Selection

Configure Data Source Settings​

  1. Name: Enter a name for this data source
  2. Environment: Select Development, Staging, or Production
  3. Connection: Choose the connector created in Step 1

Select AI Agents​

Choose which agents to run automatically:

  • Data Growth: Tracks table sizes and row counts
  • Data Profiling: Analyses data completeness, uniqueness, and distribution
  • Semantic Grouping: Identifies business concepts and relationships
  • Data Documenter: Auto-generates documentation for tables and columns

Agent Selection

Click Add Data Source to finalise configuration.

Step 3: Automatic Discovery​

Once configured, Autonify automatically:

  1. Initiates Scan: Triggers immediate metadata discovery
  2. Catalogues Tables: Registers all tables, schemas, and databases
  3. Maps Structure: Documents columns, data types, constraints, and indexes
  4. Executes Agents: Runs selected AI agents for analysis

Scan Progress Indicator

Viewing Results​

Data Catalogue​

Navigate to the catalogue view to explore:

  • Database hierarchy
  • Table schemas
  • Column details
  • Data types and constraints
  • Indexes and relationships

Data Catalogue View

Agent Reports​

Access individual agent results:

  • Data Growth: View row counts and data volume metrics
  • Data Profiling: Review completeness percentages and data quality scores
  • Semantic Grouping: Explore business concept mappings
  • Documentation: Read auto-generated table and column descriptions

Agent Results Dashboard