Database-as-a-service (DBaaS) cloud services give users an opportunity to use databases without having to configure physical infrastructure and without installing any software. This brings a lot of convenience to many individuals and companies. Since organizations are in need of reducing operational costs, DBaaS has become the best alternative to data storage in most organizations.
Amazon is the leading provider of DBaaS cloud services. Since DBaaS is in high demand, individuals and companies always find themselves stuck between Aurora and RDS. When figuring out which solution best fits your organization, there are many factors that should be considered. In this article, we will be discussing the differences between Amazon Aurora and RDS.
Table of Contents
What is Amazon Aurora?
Aurora is a database engine designed to give the reliability and speed associated with high-end commercial databases with ease and reliability. It is compatible with MySQL 5.6 and it gives five times the throughput of MySQL running on similar hardware. It helps DBAs to save time when planning backup storage disks since it continuously backs up data to AWS S3 in real-time without a negative impact on performance. It also eliminates the need for automated backup scripts and backup windows.
What is Amazon RDS?
Amazon RDS stands for Amazon Relational Database Service. It offers an easy way of setting up, scaling, and operating relational databases in the cloud. It provides a resizable and cost-efficient capacity while performing database administrative tasks to give you time to focus on your business and applications. It has six database engines that you can choose, that is, Amazon Aurora, MariaDB, MySQL, PostgreSQL, Microsoft SQL Server, and Oracle.
Download the Guide to Select the Right Data Warehouse
Learn the key factors you should consider while selecting the right data warehouse for your business.
Hevo, a No-code Data Pipeline helps to transfer your data from multiple sources(among 100+ sources) to the Data Warehouse/Destination of your choice to visualize it in your desired BI tool. Hevo is fully managed and completely automates the process of not only loading data from your desired source but also takes care of transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss.
Get Started with Hevo for Free
It provides a consistent & reliable solution to manage data in real-time and you always have analysis-ready data in your desired destination. It allows you to focus on key business needs and perform insightful analysis using a BI tool of your choice.
Check out Some of the Cool Features of Hevo:
Sign up here for a 14-Day Free Trial!
- Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.
- Real-Time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always.
- 100% Complete & Accurate Data Transfer: Hevo’s robust infrastructure ensures reliable data transfer with zero data loss.
- Scalable Infrastructure: Hevo has in-built integrations for 100+ sources that can help you scale your data infrastructure as required.
- 24/7 Live Support: The Hevo team is available round the clock to extend exceptional support to you through chat, email, and support calls.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Live Monitoring: Hevo allows you to monitor the data flow so you can check where your data is at a particular point in time.
Amazon Aurora Vs RDS
RDS is a hosted database service with multiple flavors of relational database management systems including PostgreSQL, Aurora, MariaDB, and others. Although there are performance benefits that enterprises enjoy for hosting databases on RDS, Aurora comes with even newer tricks. In this article, we will be discussing how Aurora compares with RDS:
1. AWS Aurora Vs RDS: Performance
Subpar performance is not what any user wants for his/her database application. So first we will talk about the very crucial performance factor for the 2 databases. Amazon Aurora gives two times the throughput provided by PostgreSQL or five times the throughput provided by standard MySQL running on similar hardware.
RDS uses SSDs in its database services for better IO throughput. With Amazon RDS, you can choose between two SSD-backed storage options, that is, one that is optimized for high-performance OLTP applications and another one for cost-effective general-purpose use.
2. AWS Aurora Vs RDS: Compatibility with Database Engines
Databases are used to gather complete data put together from multiple sources so that Analysts can get a complete view of an organization’s progress. So, it is important to understand the different types of databases that are compatible with Aurora and RDS.
When migrating your on-premises databases to the cloud or from RDS to Amazon Aurora, you should meet your service-level-agreements (SLAs). All steps should be performed with no or minimal downtime.
Aurora is compatible with two DBMSs namely PostgreSQL and MySQL. It is compatible with PostgreSQL 9.6.1 and MySQL 5.6. This means that you can run your existing database tools and applications on Aurora without any modifications.
On the other hand, Amazon RDS requires you to use AWS Database Migration Service to migrate from EC2-hosted or on-premises databases such as PostgreSQL, SQL Server, or MySQL to it.
3. AWS Aurora Vs RDS: Storage Auto-Scaling
One of the main reason why Cloud Storage has seen a increased usage inclination rate is because of the ease of Auto-Scaling. Auto-Scaling lets you scale up or down as per your organizations requirements. Cloud helps you save a lot or resources and time with the Auto-Scaling feature.
Amazon Aurora can grow its storage from its minimum of 10 GB to a maximum of 64 TB depending on your database usage. This is done in increments of 10 GB without any impact on the database performance. You are not required to provide the storage in advance. This means that the DBA doesn’t have to predict and provision the storage needed for uninterrupted business operations.
On the other hand, RDS requires DBAs to provision even up to 6 TB of storage on-the-fly with no downtime. However, note that Aurora can only support the InnoDB storage engine, and it automatically converts tables from other storage engines into InnoDB.
4. AWS Aurora Vs RDS: Scalability
As a DBA, you must provision scalability while ensuring there is no downtime. Both Amazon Aurora and RDS allow you to scale the memory and compute resources down or up, up to a maximum of 244 GiB of RAM and 32 vCPUs. You can complete your compute scaling operations in just a few minutes with a few clicks.
5. AWS Aurora Vs RDS: Replication
Aurora supports two replica types, with the replicas sharing a similar underlying volume with the primary instance. Updates from the primary instance are made visible to all Aurora replicas. Aurora allows you to provision up to 15 replicas, and the replication is done in milliseconds. In Aurora, failover is done automatically to prevent data loss.
On the other hand, RDS only allows five replicas, and the process of replication is slower compared to Amazon Aurora. In RDS, failover is done manually which can lead to last-minute data loss.
Understanding the Limitations of AWS Aurora and RDS
Both Amazon Aurora and RDS have limitations. The following are the limitations of Amazon Aurora:
- Its small and medium sized instances are only suitable for testing or development due to their limited number of resources and connections.
- Some suboptimal or odd configuration values cannot be changed.
- A minimum of 5 minutes charge is applied every time the database is active, making it a bit expensive.
The following are the limitations of Amazon RDS:
- Patching causes downtime.
- It doesn’t support scale-out for the write workloads.
- The user has to perform some administrative tasks.
- A downtime is needed to perform scaling operations.
- There is no guarantee for zero data loss.
- It doesn’t support automated compression management.
In this article, you have learned about AWS Aurora and RDS. You have also learned to differentiate Aurora and RDS with the help of 5 key factors. In the end, this article also highlights the limitations of Aurora and RDS. Now you can consciously decide which database is best suitable for your use case.
Visit our Website to Explore Hevo
Integrating and analyzing your data from a huge set of diverse sources can be challenging, this is where Hevo comes into the picture. Hevo is a No-code Data Pipeline and has awesome 100+ pre-built integrations that you can choose from. Hevo can help you integrate your sales data from numerous sources and load them into a destination to analyze real-time data with a BI tool and create your Dashboards. It will make your life easier and make data migration hassle-free. It is user-friendly, reliable, and secure. Check out the pricing details here.
Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo suite first hand.