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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.
The SAP HANA® platform helps you reimagine business by combining a robust database with services for creating innovative applications. It enables real-time business by converging trans-actions and analytics on one in-memory platform. Running on premise or in the cloud, SAP HANA untangles IT complexity, bringing huge savings in data management and empowering decision makers everywhere with new insight and predictive power.
Amazon Aurora is ranked 21st in Relational Databases while SAP HANA is ranked 4th in Relational Databases with 25 reviews. Amazon Aurora is rated 0.0, while SAP HANA is rated 8.0. On the other hand, the top reviewer of SAP HANA writes "Very robust solution with good data access". Amazon Aurora is most compared with SQL Server, Oracle Database Cloud Service, MariaDB, CockroachDB and Citus Data, whereas SAP HANA is most compared with SQL Server, Oracle Database, MySQL, Apache Spark and Oracle Multitenant.
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