Steward Database

Steward Database

Steward is an open-source database with an intuitive user interface that enables easy data exploration and visualization. It is designed for simplicity and ease of use.
Steward Database image
data-exploration data-visualization open-source

Steward Database: Open-Source Data Exploration and Visualization

An intuitive database with a user-friendly interface, Steward enables easy data exploration and visualization for simplified decision-making.

What is Steward Database?

Steward Database is an open-source database application designed for simplicity and ease of use. It provides an intuitive graphical user interface that allows users to easily explore, visualize, and make sense of their data.

Some key features of Steward Database include:

  • Visual query builder - Build queries by simply pointing and clicking, without needing to know SQL.
  • Interactive dashboards - Create customizable dashboards to visualize data through charts, graphs, and gauges.
  • Collaboration features - Share saved queries, dashboards, and other content with team members.
  • Data exploration - Intuitively explore and search data without needing to preset queries.
  • Custom functions - Extend functionality by writing JavaScript functions.
  • Open source - Steward is freely available and extendable under the AGPL license.

Steward Database aims to make working with data approachable for everyone, not just experienced data analysts. Its simple yet powerful interface unlocks the ability for nearly anyone to query, analyze, and glean insights from their data.

Steward Database Features

Features

  1. Intuitive graphical interface for managing data
  2. Built-in visualization tools for charts, graphs and maps
  3. Support for SQL queries
  4. Collaboration features like sharing dashboards
  5. Open source with community support

Pricing

  • Open Source
  • Free

Pros

Easy to use for non-technical users

Great for visualizing and exploring data

Free and open source

Active community support

Cons

Limited functionality compared to full-featured databases

Not ideal for large or complex data sets

Lacks some advanced database features like stored procedures


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