What users are saying about AWS Glue pricing: "Its price is good. AWS Pricing Calculator lets you explore AWS services, and create an estimate for the cost of your use cases on AWS. AWS Glue Pricing. The first million objects stored are free, and the first million accesses are free. Pricing AWS Glue. I am using this stream to store lambda function logs to be used later with AWS Athena. AWS Glue natively supports data stored in Amazon Aurora, Amazon Redshift, and Amazon S3, as well as MySQL, Oracle, Microsoft SQL Server, and PostgreSQL databases in your Virtual Private Cloud (Amazon VPC) running on Amazon EC2.The metadata stored in the AWS Glue Data Catalog can be readily accessed from Amazon EMR, and … For the AWS Glue Data Catalog, users pay a monthly fee for storing and accessing Data Catalog the metadata. AWS Glue is integrated across a wide range of AWS services, meaning less hassle for you when onboarding. For the AWS Glue Data Catalog, you pay a simple monthly fee for storing and accessing the metadata. Expected crawler requests is assumed to be 1 million above free tier and is calculated at $1 for the 1 million additional requests. Do not set Max Capacity if using WorkerType and NumberOfWorkers . AWS Glue pricing involves an hourly rate, billed by the second, for crawlers (discovering data) and ETL jobs (processing and loading data). AWS Glue is another offering from AWS and is a serverless ETL (Extract, Transform, and Load) service on the cloud. AWS Glue ETL jobs are billed at an hourly rate based on data processing units (DPU), which map to performance of the serverless infrastructure on which Glue runs. For more information, see the AWS Glue pricing page. AWS Glue Pricing With AWS Glue, you pay an hourly rate, billed by the second, for crawlers (discovering data) and ETL jobs (processing and loading data). AWS Glue natively supports data stored in Amazon Aurora and all other Amazon RDS engines, Amazon Redshift, and Amazon S3, as well as common database engines and databases in your Virtual Private Cloud (Amazon VPC) running on Amazon EC2. It is good in terms of the financial planning of the company, and it is a … If I am pushing thousands of log records to the stream, would I be charged for each record ( as a Glue request) ? I have considered 6 DPUs (4 vCPUs + 16 GB Memory) with ETL Job running for 10 minutes for 30 days. It is a fully-managed, cost-effective service to categorize your data, clean and enrich it and finally move it from source systems to target systems. The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job: •AWS Glue crawlers connect to your source or target data store, progresses through a prioritized list of classifiers •AWS Glue automatically generates the code to extract, transform, and load your data •Glue provides development endpoints for you to edit, debug, and test the code it generates for you ( Thousands of invocations per day) What I don't understand is the pricing strategy for AWS Glue. Q: What data sources does AWS Glue support? We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. For the AWS Glue Data Catalog, you pay a simple monthly fee for storing and accessing the metadata. So this stream will be heavily used in each day. I am doing some pricing comparison between AWS Glue against AWS EMR so as to chose between EMR & Glue. 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