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

For most teams, **Power BI**, **Tableau**, **Looker Studio**, **Qlik Sense**, **Metabase**, and **Domo** are the strongest options for building dashboards that connect multiple data sources.[2][3][5] If you want the simplest choice for Google-centric or lightweight needs, **Looker Studio** is a good fit; if you need deeper analytics and broader enterprise connectivity, **Power BI**, **Qlik Sense**, or **Domo** are better choices.[2][3][4][5]

A practical way to choose is by use case:

- **Power BI**: Best all-around choice for business reporting and dashboards; it connects to multiple sources like Excel, SQL databases, Salesforce, and Azure.[3][4][5]

- **Looker Studio**: Best for fast, low-cost dashboards, especially if your data is already in Google Sheets, Google Analytics, or BigQuery.[2]

- **Tableau**: Strong for rich visualizations and supports many connections, including CSV files, SQL databases, cloud services, and Salesforce.[2]

- **Qlik Sense**: Good for more advanced data modeling and pulling together cloud databases, spreadsheets, and cloud services into a single source of truth.[3]

- **Metabase**: Best when your data already lives in databases like PostgreSQL, MySQL, Snowflake, or BigQuery and you want a simpler analytics layer.[1]

- **Domo**: Best for enterprise teams consolidating many sources with governance and real-time updates.[1][5]

- **Klipfolio**: Useful for KPI dashboards with many connectors and a simpler, template-driven workflow.[2][5]

- **Zoho Analytics**: A solid SMB-friendly option with hundreds of connectors and low technical overhead.[3][5]

If you want a short recommendation:

- Choose **Power BI** if you want the safest general-purpose pick.

- Choose **Looker Studio** if you want something easy and low-cost.

- Choose **Domo** or **Qlik Sense** if you are handling many sources at enterprise scale.

- Choose **Metabase** if your main source is a database and you want straightforward dashboards.[1][3][4][5]

If you want, I can also narrow this down by **budget**, **technical skill level**, or **specific data sources** like Salesforce, Google Sheets, Snowflake, or PostgreSQL.