New year promotion! Get 20% discount on all purchases

Postgres Data Visualization Tools 2024

There are many data visualization software options that can be used with Postgres. Here are a few popular ones:

  1. Datawrapper: This is a cloud-based data visualization tool that allows users to create charts and maps from data stored in a Postgres database. It offers a range of visualization options and is designed to be easy to use, with a focus on clean and clear design.
  2. DB-Views: This is a web-based database visualization tool that supports Postgres, as well as many other databases. It supports combined views of related data fields from different databases and different servers (aka “remote joins”). In-place data editing and multi-step data entry forms are supported as well. You may share views and apps with colleagues, employees, and customers. You may also publish views and web forms online to gain leads and acquire new customers.
  3. Grafana: This is an open-source data visualization and monitoring platform that can connect to a Postgres database and allow users to create interactive dashboards and charts. It supports a wide range of data sources and visualization options, and is often used in conjunction with time-series data.
  4. Power BI: This is a data visualization and business intelligence tool developed by Microsoft. It can connect to a Postgres database and allow users to create interactive dashboards and reports. It offers a wide range of visualization options and supports data integration from a variety of sources.
  5. Qlik Sense: This is a business intelligence and data visualization platform that can connect to a Postgres database and allow users to create interactive dashboards and reports. It offers a variety of visualization options and supports data blending from multiple sources.
  6. Tableau: This is a powerful data visualization tool that can connect to a Postgres database and allow users to create interactive charts, graphs, and dashboards. It offers a wide range of visualization options, as well as tools for data analysis and storytelling.