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With Serverless v2, the hourly cost is somewhere like 12-20 cents per ACU per hour, depending on the AWS Region. You can check the price for each combination of AWS Region and Aurora database engine here: https://aws.amazon.com/rds/aurora/pricing/ Let's consider us-east-1, which (as of January 2024) is 12 cents per ACU per hour. The minimum for Serverless v2 is 0.5 ACUs, so 6 cents / hour. A typical month has 720 hours (30 days) or 744 (31 days). So if you set minimum capacity to 0.5 ACUs, leave the cluster idle, and nothing unexpected happens, best case is roughly $43-45 per month for instance charges. Plus whatever usage-based charges for storage, I/O, and there are some other optional features that could result in charges. (That's why you would go through the exercise with the pricing calculator.) What could interfere with the best case? Turning on memory-consuming or CPU-consuming features could prevent the idle cluster from scaling down to 0.5 ACUs. Something like Performance Insights (minimum 2 ACUs) or global database (minimum 8 ACUs). Cleanup operations like PostgreSQL vacuum could run and cause scaling up when you think the database should be idle. What actions could you take to make the best case even better? Do "stop cluster" overnight or other long periods when you don't need to use the database. If you need to add reader instances to the cluster to test out multi-AZ usage (read/write splitting etc.), delete the reader instances when they're not needed. Have cron jobs to run stop-db-cluster, modify-db-cluster, etc. to put things into a cheaper state during overnight periods if you forget to do it at the end of the day. Answer from rePost-User-6113899 on repost.aws
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CloudySave
cloudysave.com โ€บ aws โ€บ aurora-serverless-pricing-calculator
All About Aurora Serverless Pricing Calculator - CloudySave
February 15, 2021 - Amazon Aurora Serverless does not require users to manage instances. It automatically scales up or down the database capacity according to an increase or decrease in resource demand for different applications. The type of database instances, along with database storage capacity consumed, will determine the cost of AWS Aurora Serverless pricing.
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AWS
aws.amazon.com โ€บ amazon rds โ€บ amazon aurora โ€บ pricing
Amazon Aurora Pricing
3 days ago - The effective hourly price shows the amortized hourly instance cost. This takes the total cost of the Reserved Instance over the entire term, including any upfront payment, and spreads it out over each hour of the Reserved Instance term. Select to see details about PostgreSQL-Compatible pricing options ... Amazon Aurora Serverless is an on-demand, auto scaling configuration that automatically adjusts database capacity based on application needs.
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With Serverless v2, the hourly cost is somewhere like 12-20 cents per ACU per hour, depending on the AWS Region. You can check the price for each combination of AWS Region and Aurora database engine here: https://aws.amazon.com/rds/aurora/pricing/ Let's consider us-east-1, which (as of January 2024) is 12 cents per ACU per hour. The minimum for Serverless v2 is 0.5 ACUs, so 6 cents / hour. A typical month has 720 hours (30 days) or 744 (31 days). So if you set minimum capacity to 0.5 ACUs, leave the cluster idle, and nothing unexpected happens, best case is roughly $43-45 per month for instance charges. Plus whatever usage-based charges for storage, I/O, and there are some other optional features that could result in charges. (That's why you would go through the exercise with the pricing calculator.) What could interfere with the best case? Turning on memory-consuming or CPU-consuming features could prevent the idle cluster from scaling down to 0.5 ACUs. Something like Performance Insights (minimum 2 ACUs) or global database (minimum 8 ACUs). Cleanup operations like PostgreSQL vacuum could run and cause scaling up when you think the database should be idle. What actions could you take to make the best case even better? Do "stop cluster" overnight or other long periods when you don't need to use the database. If you need to add reader instances to the cluster to test out multi-AZ usage (read/write splitting etc.), delete the reader instances when they're not needed. Have cron jobs to run stop-db-cluster, modify-db-cluster, etc. to put things into a cheaper state during overnight periods if you forget to do it at the end of the day.
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Your best bet is to use AWS Calculator # https://calculator.aws/#/ in order to estimate the operating cost with the services that you plan to use. Secondly using the Graviton2 instances would save a lot compared with other instances. I have listed some common instance types that you may start using and then change later based on your project workload. t4g : For dev/test workload m6g : For general purpose workload r6g : For memory optimized workload Go with small storage initially and then you can scale it based on the need to optimize the cost.
Discussions

Need some guidance on reducing the cost of my Aurora serverless database.
If you're sensitive to costs and don't have the need for complex relationships, you can save a ton by going with DynamoDB on demand billing. It'll almost definitely be cheaper. At your current load, it might be less than a dollar a month. More on reddit.com
๐ŸŒ r/aws
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October 31, 2022
Lambda + RDS Postgres - RDS Proxy - Aurora - Aurora Serverless - best practice
I suggest looking into use autoscaling fargate for this instead of lambda. I almost always use lambda, but for a heavy load + RDS access, fargate makes more sense IMO for cost, performance, and reliability. You could also start to leverage batch writes and reusable connections. Also, in postgres, be sure to use prepared statements to speed things up a lot More on reddit.com
๐ŸŒ r/aws
6
1
March 8, 2022
Does Aurora Serverless support Multi-AZ by default ?
There's a section in its documentation: Aurora Serverless and Failover "If the DB instance for an Aurora Serverless DB cluster becomes unavailable or the Availability Zone (AZ) it is in fails, Aurora recreates the DB instance in a different AZ. We refer to this capability as automatic multi-AZ failover. This failover mechanism takes longer than for an Aurora Provisioned cluster. The Aurora Serverless failover time is currently undefined because it depends on demand and capacity availability in other AZs within the given AWS Region. Because Aurora separates computation capacity and storage, the storage volume for the cluster is spread across multiple AZs. Your data remains available even if outages affect the DB instance or the associated AZ." I.e. as with regular Aurora, the storage is always multi AZ. The db servers themselves are not. With regular aurora you need to set these up in a multi AZ fashion yourself, but it seems that with serverless it doesn't, instead spinning up a new db server at the point of failover. Edit: source More on reddit.com
๐ŸŒ r/aws
6
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June 18, 2020
Amazon Aurora Serverless v2 now supports AWS CloudFormation

Cool. Now it just needs to support Data API and scaling to 0 and we can talk.

More on reddit.com
๐ŸŒ r/aws
33
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September 25, 2021
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AWS
aws.amazon.com โ€บ blogs โ€บ database โ€บ evaluating-the-right-fit-for-your-amazon-aurora-workloads-provisioned-or-serverless-v2
Evaluating the right fit for your Amazon Aurora workloads: provisioned or Serverless v2 | AWS Database Blog
October 23, 2024 - This includes data storage, I/O and compute. Since Aurora Serverless v2 is an instance construct, only the instance pricing changes when using Aurora Serverless v2. With provisioned instances, the price depends on the type and size of instance and is billed per hour.
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AWS
calculator.aws
AWS Pricing Calculator
AWS Pricing Calculator lets you explore AWS services, and create an estimate for the cost of your use cases on AWS.
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Pump
pump.co โ€บ home โ€บ blog โ€บ aws aurora pricing - cost breakdown & savings guide
AWS Aurora Pricing - Cost Breakdown & Savings Guide
Faster Deployment: They completed the re architecturing and deploying of Aurora in two months simply because it was serverless. AWS Cost Explorer: View and determine spending trends.
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Holori
holori.com โ€บ accueil โ€บ blog โ€บ mastering aws aurora pricing: tips for cost optimization
Holori - Mastering AWS Aurora Pricing: Tips for Cost Optimization
October 25, 2024 - Aurora Capacity Unit (ACU): Serverless pricing is based on the number of ACUs used per second. An ACU is a unit of database capacity that combines both memory and processing power.
Find elsewhere
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PlanetScale
planetscale.com โ€บ blog โ€บ amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database
Amazon Aurora Pricing: The many surprising costs of running an Aurora database โ€” PlanetScale
From instance types to storage ... to price an Amazon Aurora cluster. In this article, we'll cover all the little details you'll need to understand the Amazon Aurora pricing model to get an accurate estimate for an Aurora database. ... The information provided in this article is specific to Aurora and not Aurora Serverless. Aurora Serverless is a different configuration that has its own pricing model. Amazon Aurora is a MySQL and Postgres-compatible database platform on AWS that simplifies ...
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Lumigo
lumigo.io โ€บ guides โ€บ aws serverless ecosystem โ€บ aurora serverless v2: why you need it, new features and pricing
Aurora Serverless v2: Why You Need It, New Features and Pricing
December 19, 2022 - The cost of Aurora Serverless v2 appears expensive, and while it is possible to save costs on your database for peak loads, it is not a cost-effective option for everyone. ... The price of Aurora capacity units (ACUs) in v2 ($0.12/hr) is twice ...
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Medium
medium.com โ€บ trackit โ€บ aurora-or-aurora-serverless-v2-which-is-more-cost-effective-bcd12e172dcf
Aurora or Aurora Serverless v2, Which Is More Cost-Effective? | by Joffrey escobar | TrackIt | Medium
May 25, 2021 - Despite being cheaper at max capacity ($0.368 vs. $0.56 for 8 ACUs), Aurora would require the company to pay for 8 ACUs all throughout the day even when the database base usage is minimal.
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Amazon Web Services
docs.aws.amazon.com โ€บ amazon rds โ€บ user guide for aurora โ€บ what is amazon aurora? โ€บ db instance billing for aurora
DB instance billing for Aurora - Amazon Aurora
Aurora Serverless v2 โ€“ Aurora Serverless v2 provides on-demand capacity where the billing unit is Aurora capacity unit (ACU) hours instead of DB instance hours. Aurora Serverless v2 capacity increases and decreases, within a range that you specify, depending on the load on your database.
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Bytebase
bytebase.com โ€บ blog โ€บ understanding-aws-aurora-pricing
Understanding AWS Aurora Pricing (2025)
Leverage Serverless: For highly variable or intermittent workloads, Aurora Serverless can prevent over-provisioning. For stable workloads on Provisioned instances, RIs offer significant savings (up to 72%): Analyze Stability: Ensure the workload is predictable enough for a 1- or 3-year commitment. Choose Term/Payment: Select the commitment term and payment option (All, Partial, No Upfront) that balances savings and budget. Example RI Savings (US East - N. Virginia, db.r6g.xlarge, Standard Config): (Note: Prices are illustrative and subject to change.)
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Cloudexmachina
cloudexmachina.io โ€บ blog โ€บ aws-aurora-pricing
AWS Aurora Pricing Explained: What You Really Pay for and Why
September 2, 2025 - Aurora is AWS's homegrown, cloud-native RDS engine with a distributed, fault-tolerant storage layer and 5x performance claims over vanilla MySQL. Compute (Instances) Provisioned instances are billed per second (5-minute minimum), based on type (e.g., db.r6g.large). Serverless v2 uses Aurora Capacity Units (ACUs), combining CPU and memory with fine-grained scaling, but no Reserved Instance discounts. Graviton2 (r6g) offers ~20% better price...
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Reddit
reddit.com โ€บ r/aws โ€บ need some guidance on reducing the cost of my aurora serverless database.
r/aws on Reddit: Need some guidance on reducing the cost of my Aurora serverless database.
October 31, 2022 -

Hey there,

Sorry if I lack any technical jargon for this question, I'm still pretty novice to AWS.Right now I have a desktop application that has a leaderboard function. For this I decided with would be best to go down the RDS path. I know pretty little about connecting and running databases, so I opted to go with the serverless route, and wanted to access the database using the Aurora API/ lambda.

I saw AWS deprecated mySQL for serverless 1.0, and since serverless 2.0 does not support the aurora API, I went with the postgres option, as I could still use the API.

I think this is the first mistake, as it seems the minimum ACUs for the postgres option is double of the mySQL. But either way my database has a min and max of 2 ACUs which is probably far more than my application needs. I would estimate max, my user pool will be about 50k and its just storing simple leaderboard numbers.

After one month of running the database, my monthly bill came out to ~230 dollars, which is just a lot especially since I have not even launched this product yet.My main cost was in just running the database :

$0.08 per Aurora Capacity Unit hour running Amazon Aurora PostgreSQL Serverless

2,840.991 ACU-Hr

$227.28

So does anyone have any advice on where to start in reducing the cost ? Should I move off postgres?Would running the EC2 and manually managing the database be cheaper? Would no longer using the API be cheaper ? Any help appreciated

Edit : Wow I just realized while posting this my ACU numbers did not add up and it turns out I was running a second database all month with nothing in it. So thats half the cost atleast lol. But still my questions apply

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AWS Fundamentals
awsfundamentals.com โ€บ newsletter โ€บ issues โ€บ 19771956
New Serverless SQL on AWS โ€” Aurora DSQL Pricing Explained
Click to watch this video on YouTube ยท The day has come. There's a new serverless database in the house
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AWS
aws.amazon.com โ€บ blogs โ€บ database โ€บ optimizing-cost-savings-the-advantage-of-amazon-aurora-over-self-managed-open-source-databases
Optimizing cost savings: The advantage of Amazon Aurora over self-managed open source databases | AWS Database Blog
March 31, 2025 - In contrast to the self-managed architectureโ€™s six pre-provisioned instances, this optimized Aurora configuration can decrease the average monthly resource allocation for both the read replicas and the primary instance. This streamlined configuration not only simplifies management but also enhances cost-effectiveness. During periods of low or no demand, Aurora Serverless v2 supports scaling capacity down to zero, reducing costs.
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Bytebase
bytebase.com โ€บ blog โ€บ aws-aurora-vs-rds-pricing
AWS Aurora vs. RDS Pricing: A Detailed Comparison 2025
Data Transfer: Data transfer in and out of Aurora is charged based on standard AWS data transfer rates. ... Aurora I/O-Optimized: For I/O-intensive workloads, Aurora offers an I/O-Optimized configuration. With this option, you pay a higher price for database instances and storage, but there are no separate charges for I/O operations. This can be more cost-effective if your application performs a large number of reads and writes. Aurora Serverless: Aurora Serverless v2 automatically scales capacity up or down based on application demand.
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Medium
engineering.doit.com โ€บ comparing-aurora-distributed-sql-vs-aurora-serverless-v2-a-practical-cost-analysis-f7cf9cd2dbf8
Comparing Aurora DSQL vs. Aurora Serverless v2: A Practical Cost Analysis | by Kate Gawron | DoiT
July 1, 2025 - Compute: Billed per Distributed Processing Unit (DPU) - Rate: $8 per 1 million DPUs - 100K DPUs โ‰ˆ ~700,000 TPC-C transactions (based on AWS benchmarks) https://aws.amazon.com/rds/aurora/dsql/pricing/ ... So what exactly is a DPU? Itโ€™s like ACUs all over again, where itโ€™s nearly impossible ...
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DBConvert blog
dbconvert.com โ€บ blog โ€บ aurora-vs-rds-2024
Aurora vs. RDS: How to Choose the Right AWS Database for 2024
February 24, 2025 - As the business expands, Aurora becomes more favorable, especially with the added flexibility of Aurora Serverless to optimize costs. Migrating from Amazon RDS to Aurora is a strategic decision that should be carefully considered based on various factors. Here are critical considerations for making this transition: ... Transforming to Aurora can enhance query processing if your RDS database faces a growing workload, resulting in insufficient performance.