Amazon Aurora vs. GaussDB vs. HeidiSQL vs. SQLite Data Access Components Comparison Chart

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

HeidiSQL is free software, and has the aim to be easy to learn. "Heidi" lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite. Invented in 2002 by Ansgar, HeidiSQL belongs to the most popular tools for MariaDB and MySQL worldwide. Free for everyone, OpenSource. Connect to multiple servers in one window. Supported database systems: MariaDB, MySQL, MS SQL, PostgreSQL and SQLite. Connect to servers via commandline. Connect via SSH tunnel, or pass SSL settings. Create and edit tables, views, stored routines, triggers and scheduled events. Generate nice SQL-exports, compress these afterwards, or put them on the clipboard. Export from one server/database directly to another server/database. Manage user-privileges, import text-files, export table rows as CSV, HTML, XML, SQL, LaTeX, Wiki Markup and PHP Array. Browse and edit table-data using a comfortable grid.