Best Database Design Software

Compare the Top Database Design Software as of April 2025

What is Database Design Software?

Database design software is a type of computer program used to create, modify and manage databases. It enables users to define the structure of a database and the relationships between different data fields. It also allows the user to perform various operations on existing databases such as editing, backing up, transferring data and creating reports. Compare and read user reviews of the best Database Design software currently available using the table below. This list is updated regularly.

  • 1
    Ragic Builder
    Ragic is a no-code database builder that allows its user to build their own system according to their own workflow with a spread-sheet like interface that is as quick and as intuitive, capable of building small contact management systems to fully fledged ERP systems.
    Starting Price: $5/month/user
  • 2
    GibsonAI

    GibsonAI

    GibsonAI

    GibsonAI is an innovative AI-powered database engineer that revolutionizes the entire database lifecycle by automating everything from design to deployment. With a simple conversation in plain English, users can instantly generate complete database solutions including entity-relationship diagrams, optimized schemas, fully deployed hosted databases, live CRUD APIs, and comprehensive documentation—all without writing SQL or managing DevOps. The platform enables effortless modifications through natural language commands, eliminating manual migrations and downtime, making it ideal for developers seeking to accelerate development, startups launching scalable applications, and enterprise teams streamlining database engineering and maintenance.
    Starting Price: $20/month
  • 3
    Edge Intelligence

    Edge Intelligence

    Edge Intelligence

    Start benefiting your business within minutes of installation. Learn how our system works. It's the fastest, easiest way to analyze vast amounts of geographically distributed data. A new approach to analytics. Overcome the architectural constraints associated with traditional big data warehouses, database design and edge computing architectures. Understand details within the platform that allow for centralized command & control, automated software installation & orchestration and geographically distributed data input & storage.
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