1.0.3 Safe to install
Schema is a straightforward database client designed for iOS, supporting both MySQL and Postgres. Its primary focus is to facilitate simplified database management through an intuitive interface that eliminates the need for manual SQL query writing. Compatible with leading database providers such as Supabase, Neon DB, PlanetScale, AWS databases, and others, Schema offers versatile connectivity options.
Whether you are an independent developer exploring new ideas or an experienced professional managing large-scale deployments, Schema provides a convenient solution for accessing Postgres and MySQL databases remotely. The application enables users to monitor data, utilize built-in features like Supabase realtime updates, and handle database workflows efficiently.
Designed as a complementary tool for various backend solutions—ranging from Neon DB’s scalability to PlanetScale’s simplicity or AWS’s robust infrastructure—Schema aims to deliver a fast and user-friendly experience for both developers and database administrators.
Terms of Use: https://tryschema.com/support/terms-of-use
Standard Apple EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Overview
Schema: A database client is a Freeware software in the category Development developed by Rosenbridge, Inc..
The latest version of Schema: A database client is 1.0.3, released on 06/07/2025. It was initially added to our database on 06/07/2025.
Schema: A database client runs on the following operating systems: iOS.
Users of Schema: A database client gave it a rating of 5 out of 5 stars.
Pros
- User-friendly interface for managing databases
- Supports multiple database types such as MySQL, PostgreSQL, and SQLite
- Offers query building tools that simplify complex queries
- Provides data visualization features to analyze data easily
- Includes security features like encrypted connections and user access controls
Cons
- Limited advanced features for experienced database administrators
- Customization options are somewhat limited compared to more established tools
- Performance may lag with very large datasets or complex queries
- Lacks extensive plugin or extension ecosystem
- Customer support and documentation could be improved for troubleshooting
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