1. What is AWS Glue Pricing?

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. The pricing is based on DPU-hours and data processing volume.

2. How Does the Calculator Work?

The calculator uses the AWS Glue pricing formula:

Where:

• \( DPU\text{-}Hours \) — Data Processing Unit hours consumed
• \( \$0.44 \) — Cost per DPU-hour in USD
• \( Data Processing \) — Amount of data processed in GB
• \( \$0.26 \) — Cost per GB of data processed

Explanation: AWS Glue charges for both the compute resources (DPU-hours) and the volume of data processed during ETL jobs.

3. Understanding AWS Glue Costs

Details: A DPU (Data Processing Unit) is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. The minimum number of DPUs for a job is 2.

4. Using the Calculator

Tips: Enter the total DPU-hours consumed by your AWS Glue jobs and the total amount of data processed in GB. Both values must be non-negative numbers.

5. Frequently Asked Questions (FAQ)

Q1: What is included in DPU-hours?
A: DPU-hours include the time your ETL job spends on data processing, transformation, and loading activities in AWS Glue.

Q2: How is data processing volume calculated?
A: Data processing volume is calculated based on the amount of data read from and written to your data sources and targets during ETL jobs.

Q3: Are there any minimum charges?
A: AWS Glue has a 1-minute minimum billing duration for ETL jobs and a 10-minute minimum for development endpoints.

Q4: What factors affect AWS Glue costs?
A: Costs are affected by job complexity, data volume, number of DPUs allocated, job duration, and the number of crawlers running.

Q5: How can I optimize AWS Glue costs?
A: Optimize by right-sizing DPU allocation, using job bookmarks, partitioning data efficiently, and monitoring job performance regularly.