What software should I use to build dashboards that connect multiple data sources?

# Dashboard Software for Multiple Data Sources

Here are the main options organized by use case:

## Business Intelligence (BI) Tools

| Tool | Best For | Cost |

|------|----------|------|

| **Tableau** | Complex visualizations, large enterprises | Paid |

| **Power BI** | Microsoft ecosystem integration | Free/Paid |

| **Looker** | Data modeling, SQL-heavy teams | Paid |

| **Qlik Sense** | Self-service analytics | Paid |

## Open Source / Free Options

- **Grafana** - excellent for time-series/metrics data

- **Apache Superset** - SQL-based, highly customizable

- **Metabase** - user-friendly, good for smaller teams

- **Redash** - query-focused dashboards

## Low-Code/No-Code

- **Retool** - connects APIs, databases, good for internal tools

- **Google Looker Studio** - free, connects Google products easily

- **Notion/Airtable** - lightweight dashboards

## Code-Based (Developer-Friendly)

- **Streamlit** (Python) - fast prototyping

- **Dash by Plotly** (Python) - highly customizable

- **Observable** (JavaScript) - data storytelling

## How to Choose

Consider:

- **Your data sources** (databases, APIs, spreadsheets?)

- **Team technical skill level**

- **Budget**

- **Refresh frequency needed**

- **Audience** (internal vs. external)

**Most common starting points:**

- Non-technical teams → Power BI or Metabase

- Developers → Grafana or Streamlit

- Enterprise → Tableau or Looker

Would you like a more specific recommendation based on your situation?