EverSQL vs. PostgreSQL Data Access Components vs. QueryTree vs. Releem Comparison Chart

EverSQL is the fastest way to optimize your PostgreSQL & MySQL databases automatically. It's used by over 100,000 engineers as a PostgreSQL & MySQL optimizer, to optimize SQL queries. Our customers report their queries are 25X faster on average, just minutes after getting started. Save your team 140 weekly hours on average by optimizing your SQL queries online for free. EverSQL is 100% non-intrusive, and doesn't access any of your databases' sensitive data. Choose your database type, the platform, and submit a query for optimization. Then, install the performance sensor for ongoing performance insights. Smart AI-based algorithms will optimize your PostgreSQL and MySQL queries by automatically re-writing and indexing them. EverSQL will tell you exactly what changed and how the magic works. EverSQL's non-intrusive sensor will monitor your PostgreSQL and MySQL databases performance on an ongoing basis, generate optimization insights that are quick and easy to understand and implement.

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.