Advantages of AWS Aurora
- It allows us to use custom database end-points: Aurora enables the users to distribute and implement the load balancing across the different database instances. For this, you have to create a custom endpoint and route the workload to those isolated instances.
- It has a high-performance query latency: It improves the query latency and reduces the cost by up to 30% using the Aurora Optimized Reads. Thus, we get nearly query latency faster up to eight times using the AWS Aurora.
- It provides the self-healing storage:The Aurora Storage continuously scans the data blocks and detects the errors. And, it automatically replaces the data blocks containing errors.
AWS (Amazon Web Services) RDS vs Aurora
Do you need help in choosing the right AWS database for your application? Here is the solution for you. This article resolves all your queries about AWS RDS and Aurora, advantages, use cases, and differences between them. Reading this article till the end will help you to choose the appropriate database for your application development requirements.
The present scenario is such that the organizations use a huge amount of Data as a critical asset to transform their business. However, when the size of the data increases, they face challenges. So, the Cloud Databases help us to overcome this issue with various replication, distributed architecture, and scaling.
Two popular cloud database services are AWS RDS and Aurora. In this article, we will compare the AWS RDS and AWS Aurora so that you can choose the right tool for your application. So let us start without any delay.
Table of Content
- What is AWS RDS?
- What is AWS Aurora?
- AWS RDS vs AWS Aurora: Key Differences
- Advantages of AWS RDS
- Advantages of AWS Aurora
- When should I choose AWS RDS?
- When should I choose AWS Aurora?
- Cost of AWS RDS
- Cost of AWS Aurora
- Conclusion