Oracle Database In-Memory and Amazon Aurora are competitive in the database solutions category. Oracle Database In-Memory often achieves superior performance and security, whereas Amazon Aurora offers cost-efficiency and scalability within the AWS ecosystem.
Features: Oracle Database In-Memory excels with substantial performance improvements in data warehousing and analytics, especially when used with Exadata. It provides real-time transaction speeds in milliseconds and robust security through its Advanced Security Option and Database Vault. It also offers high availability and disaster recovery, making it suitable for critical applications. In contrast, Amazon Aurora is known for its automated maintenance, easy scalability, and integration with AWS services. It provides high availability with multiple read replicas and supports seamless backups, enhancing its usability in public cloud environments.
Room for Improvement: Oracle users express the need for better cost structures and support for decision support systems, as well as improved query optimization and integration with AI features. There are also calls for improved handling of large data sets. Amazon Aurora users point to the need for enhancements in cryptography, AI features, and improved distributed query processing. Improving scalability and adding support for more database engines are also suggested.
Ease of Deployment and Customer Service: Oracle Database In-Memory deployment involves private or hybrid clouds, with users experiencing varied results. Strong technical support is beneficial when available, though the general support structure needs improvement. On the other hand, Amazon Aurora is typically deployed in public cloud settings, taking full advantage of the AWS ecosystem. It is noted for its user-friendly setup and integration with AWS services, although users suggest faster resolution of complex issues in technical support.
Pricing and ROI: Oracle Database In-Memory is regarded as a high-cost solution, often pushing users towards open-source alternatives for managing expenses. Despite the cost, it delivers a strong return on investment through reliability and consistent performance. Amazon Aurora offers a competitive pricing model with its pay-as-you-go structure, eliminating traditional licensing fees. It is generally viewed as cost-effective, particularly for enterprises using AWS services, and its efficient resource optimization leads to a favorable ROI.
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.
Support quality varies across regions, with more advanced solutions from the U.S. and UK compared to Asian region support.
The technical support from Oracle is very good.
I rate the technical support of Oracle an eight or nine out of ten.
This scalability is critical as it allows for runtime expansion, which is essential for businesses moving from on-premises to the cloud.
It offers a stable environment, ensuring consistent performance.
It was very difficult to move data from on-site to cloud in one attempt at the start, because we didn't have sufficient bandwidth to copy the data files to the cloud.
Oracle Database In-Memory is stable, which means there are no glitches or issues.
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.
Enhancing features like CAG augmentation and cache augmentation could significantly optimize performance for large language models.
The area where improvement is required the most in the product is the UI.
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.
Recent reductions in cloud costs and learning opportunities, such as free portals for students, make the pricing reasonable without hindering access to powerful features and performance.
The pricing for Oracle Database In-Memory is more affordable.
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.
The biggest benefit of Oracle Database In-Memory is dealing with a huge amount of information without any latency for our response time.
The valuable features of Oracle Database In-Memory include its capability to bypass disk storage for faster memory operations, which is critical for transactions and analytics.
| Product | Market Share (%) |
|---|---|
| Amazon Aurora | 2.8% |
| Oracle Database In-Memory | 1.9% |
| Other | 95.3% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 23 |
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 In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.
Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.
The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.
For more information on Oracle Database In-Memory, visit Oracle.com
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