How to Maximize Savings with AWS Database Savings Plan

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If you’re looking for a way to save money on your AWS database services, consider using AWS Database Savings Plans. These plans cover a variety of database services such as Amazon Aurora, Amazon RDS, DynamoDB, ElastiCache, DocumentDB (with MongoDB compatibility), Neptune, Keyspaces for Apache Cassandra, Timestream, and even the AWS Database Migration Service.

The beauty of these plans is that they automatically apply to both serverless and provisioned database usage, no matter the engine, instance type, size, deployment method, or even the AWS Region you’re working in. This means less hassle and more savings without needing to switch between different plans.

Compared to Reserved Instances, Database Savings Plans offer more flexibility while still saving you money. They let you:

– Switch between different instance types, like from Aurora db.r7g to db.r8g.
– Move your workloads across regions, for example, from EU Ireland to US Ohio.
– Transition from one database engine to another, such as from RDS Oracle to Aurora PostgreSQL.
– Shift workloads between different AWS services, like moving from RDS to DynamoDB.

This flexibility allows you to keep your rates discounted while adapting your infrastructure as your needs change, which isn’t possible with Reserved Instances that are tied to specific instance types, sizes, or regions.

You can save up to 35% with a one-year commitment, and no upfront payment is necessary. The exact discount depends on the deployment:

– Up to 35% for serverless applications.
– Up to 20% for provisioned instances.
– Up to 18% for on-demand throughput workloads like DynamoDB and Keyspaces.

It’s worth noting that you can’t combine Database Savings Plans with other discounts like RDS Reserved Instances or DynamoDB reserved capacity for the same workload. However, you can apply these plans across different workloads within your organization for maximum benefit.

Switching to a Database Savings Plan can be a smart move to cut costs and keep your database infrastructure flexible.