EMS SQL Management Studio vs. EverSQL vs. Percona Distribution for PostgreSQL vs. SQLite Data Access Components 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.

Enjoy the highest performance and unlimited possibilities when working with SQLite. SQLite Data Access Components (LiteDAC) is a library of components that provides native connectivity to SQLite from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. LiteDAC is designed for programmers to develop truly cross-platform desktop and mobile SQLite database applications with no need to deploy any additional libraries. LiteDAC-based DB applications are easy to deploy and do not require the installation of other data provider layers (such as BDE or ODBC), and that's why they can work faster than the ones based on standard Delphi data connectivity solutions. Moreover, LiteDAC provides an additional opportunity to work with SQLite in Delphi and C++Builder directly by linking the client library statically in your application.