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| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
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 (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
Oracle Database@AWS offers a powerful combination of Oracle's high-performance database capabilities with the scalability of AWS infrastructure, providing a reliable platform for enterprise-level applications.
Oracle Database@AWS is designed to support complex workloads by integrating advanced database technologies with AWS's scalable environment. It caters to businesses requiring secure, efficient, and scalable data management solutions. Users leverage the infrastructure for high availability, cost efficiency, and seamless migration of their database workloads.
What are the key features of Oracle Database@AWS?Oracle Database@AWS is employed across many industries such as finance, healthcare, and retail, where data integrity and real-time analytics are crucial. In finance, it handles large volumes of transactions securely. Healthcare institutions use it for secure patient data management, while retailers rely on its robust features for inventory and customer relationship management.
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