Oracle Database and Amazon Aurora compete in the database management systems category. Amazon Aurora seems to have the upper hand due to its cost-effectiveness and seamless integration with AWS.
Features: Oracle Database is recognized for its robust scalability, reliability, and data encryption. It also offers high availability and disaster recovery solutions. Amazon Aurora stands out with SQL standardization, high-speed performance, and deep AWS integration. Its managed environment simplifies administrative tasks, promoting cost-effectiveness and ease of use.
Room for Improvement: Oracle Database often contends with licensing complexity, high costs, and requires specialized skills. Better integration capabilities and streamlined deployment are needed. Amazon Aurora is focused on enhancing AI features, adding benchmarking capabilities, and improving serverless aspects. Users also desire better migration tools.
Ease of Deployment and Customer Service: Oracle Database supports on-premises, hybrid, and private cloud deployments, offering flexibility but also setup challenges. Technical support is mixed, with delays and responsiveness issues noted. Amazon Aurora excels in ease of deployment as a public cloud solution, yet customer support quality varies by region, affecting user experience negatively.
Pricing and ROI: Oracle Database is perceived as costly, offering high returns for enterprises needing extensive capabilities. However, licensing and support costs are significant barriers. Amazon Aurora offers a more affordable solution with a pay-as-you-go model, appealing to businesses focused on cost management without sacrificing performance.
Using Amazon Aurora has saved us significantly in terms of manpower costs, with nearly fifty percent savings compared to an on-premises solution.
Technical support from Amazon is rated very highly.
The initial support could improve by having engineers familiarize themselves with the issue content to provide more specialized assistance from the start.
Oracle's technical support is not very effective.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
The database regularly releases new versions with better performance and security features.
It offers a stable environment, ensuring consistent performance.
Oracle Database is very robust, and I rate its stability nine out of ten.
There are technical challenges, such as the inability to provision the database using a PostgreSQL snapshot directly.
Keeping extensions up-to-date with PostgreSQL releases would enhance Aurora's functionality.
Oracle Database needs improvement in data analytics capabilities, AI involvement, machine learning, and deep learning.
The pricing is reasonable and not overly expensive.
Amazon Aurora is not very expensive as other solutions with similar features from other vendors come at almost the same cost.
For medium businesses, Oracle and IBM DB2 pricing are quite similar.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
Its data management capabilities include data quality, data integration, data architecture, modeling, and data security, which are very important for data-driven companies.
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 is a top-ranking multi-model database management system by Oracle Corporation. Through Oracle database services and products, clients receive cost-optimized and high-performing versions of Oracle Database, as well as in-memory, NoSQL, and MySQL databases. The solution is available by several service providers on premises, in the cloud, or as a hybrid installation. It can be run on vendor servers as well as on Oracle hardware, including Exadata on-premise, Oracle Cloud, or Cloud at Customer.
Users can select from various types of Oracle Database solutions, depending on what they aim to do with this product. Based on their specific needs, they can choose among options that include:
Part of this product is a fully automated database service called Oracle Autonomous Database, which facilitates the development and deployment of application workloads for organizations. It is built on Oracle Database as well as on Oracle Exadata. This service supports various data types and simplifies application development and deployment from modeling and coding to extract, transform, load process (ETL), data analysis, and database optimization. The service achieves high results in:
Oracle Database Features
Oracle Database has various features which users can utilize in their work with the solution. Among these features are the following:
Oracle Database Benefits
Oracle Database offers its users various benefits. Some of these include:
Reviews from Real Users
Paul S., president at Advance Consulting Enterprise, likes Oracle Database because it gets the job done, doesn't fail, and suitable for massively scalable applications.
An Oracle DBA at a computer software company describes Oracle Database as reliable with good performance and very good stability.
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