Amazon Aurora vs. Oracle MySQL HeatWave vs. Sequelize vs. python-sql 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.

Sequelize is a modern TypeScript and Node.js ORM for Oracle, Postgres, MySQL, MariaDB, SQLite SQL Server, and more. Features solid transaction support, relations, eager and lazy loading, read replication, and more. Define your models with ease and make optional use of automatic database synchronization. Define associations between models and let Sequelize handle the heavy lifting. Mark data as deleted instead of removing it once and for all from the database. Transactions, migrations, strong typing, JSON querying, lifecycle events (hooks), and more. Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Oracle Database, Amazon Redshift, and Snowflake’s Data Cloud. It features solid transaction support, relations, eager and lazy loading, read replication, and more. To connect to the database, you must create a Sequelize instance.