Oracle Database and Amazon Aurora compete in the database solutions market, with Oracle focusing on large enterprises and Aurora appealing to users within the AWS ecosystem. Amazon Aurora may have the upper hand given its seamless integration with AWS, scalability, and cost-effectiveness, providing a flexible solution for businesses with varying needs.
Features: Oracle Database offers high availability, security, and performance optimization tools, supporting extensive data workloads and complex transactions. It integrates well with Oracle applications, offering robust scalability and manageability through features like RAC, Data Guard, and AWR. On the other hand, Amazon Aurora provides seamless scalability, integrates smoothly within the AWS ecosystem, and supports open-source databases like MySQL and PostgreSQL, enabling rapid deployment and simplified management.
Room for Improvement: Oracle Database's high cost can deter budget-conscious organizations, and its complexity may necessitate extensive administration. There is room for better integration with other infrastructures and clearer licensing terms. Amazon Aurora could improve performance insights, tuning capabilities, and expand its support for more database engines. Enhanced documentation and tutorials are also needed.
Ease of Deployment and Customer Service: Oracle Database deployment can be complex due to its on-premises and hybrid configurations, often requiring expert assistance. Its technical support can be inconsistent. Amazon Aurora, primarily cloud-native, offers straightforward deployment managed by AWS infrastructure, reducing user overhead. However, the need for better documentation and customer education is noted.
Pricing and ROI: Oracle Database is seen as expensive, with complex licensing suited for larger enterprises. It provides stability and performance but remains cost-prohibitive for smaller organizations. Amazon Aurora offers competitive pricing as a cloud service, usually at a lower cost than Oracle, allowing users to pay based on usage, presenting a cost-effective and scalable option within AWS.
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.
In some cases, they support me on a 24/7 basis, round the clock.
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.
RAC is the feature where I can distribute the load among multiple nodes, and it has helped our enterprise applications.
It offers a stable environment, ensuring consistent performance.
Oracle Database is very robust, and I rate its stability nine out of ten.
It is a stable product.
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.
I used the backup options in Amazon Aurora for cloning databases. It's very common.
It would be more feasible if Oracle allowed licensing on a socket-based model instead of cores.
One existing feature that distinguishes Oracle Database from others is its ability to log errors in the database itself.
Oracle Database needs improvement in data analytics capabilities, AI involvement, machine learning, and deep learning.
The pricing for Amazon Aurora is different from DocumentDB because DocumentDB is cheaper.
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.
Oracle Database is costly.
It replicates data across multiple Availability Zones, ensuring high availability and geographical redundancy, which can be considered a GR instead of a DR.
Amazon Aurora offers a 99.9% SLA compared to PostgreSQL. This ensures a high level of availability for our applications.
Its data management capabilities include data quality, data integration, data architecture, modeling, and data security, which are very important for data-driven companies.
It is scalable and secure.
Regarding what I value about Oracle Database, as far as execution is concerned, I think it is one of the best databases I have come across.
| Product | Market Share (%) |
|---|---|
| Oracle Database | 11.5% |
| Amazon Aurora | 3.0% |
| Other | 85.5% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 87 |
| Midsize Enterprise | 64 |
| Large Enterprise | 180 |
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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