Azure Database for PostgreSQL vs. Percona Distribution for PostgreSQL vs. QueryTree vs. dbForge Studio for SQL Server Comparison Chart

Focus on application innovation, not database management, with a fully managed and intelligent Azure Database for PostgreSQL. Scale your workload quickly with ease and confidence. Enjoy high availability with a service-level agreement (SLA) of up to 99.99 percent uptime and a choice of same-zone or zone-redundant high availability, AI-powered performance recommendations, and built-in enterprise security. Focus on application innovation with a fully managed PostgreSQL database as a service. The zone-redundant high availability automates maintenance, patching, and updates. Provision in minutes and independently scale compute or storage. Decrease costs with comprehensive database monitoring and optimization tools. Take advantage of intelligent performance recommendations to help ensure peak performance. Migrate with ease using a fully managed PostgreSQL database with support for the latest versions. Build with your favorite PostgreSQL extensions such as Cron, PostGIS, PLV8, etc.

QueryTree makes it easy to build and share reports on your software's databases. QueryTree is an open-source ad hoc reporting and visualization solution for your app. Download from Github, run it from Source, Binaries or using Docker, then connect it to any Microsoft SQL Server, MySQL or PostgreSQL database, and you’re good to go. As your app’s missing report screen, QueryTree enables technical and non-technical users alike can easily select, filter, group, aggregate and visualize data from any table in any database. Users can export their results, share reports with their team, and set up schedule emails to keep everyone updated. Give your users our intuitive and user-friendly report builder to explore, select, and summarize their data. Generate useful interactive charts that visually summarize what's really going on without writing a single line of code. Securely connect your MySQL, PostgreSQL, or Microsoft SQL Server database in just a few minutes.