Your social media marketing application has a component written in Ruby running on AWS Elastic Beanstalk. This application component posts messages to social media sites in support of various marketing campaigns. Your management now requires you to record replies to these social media messages to analyze the effectiveness of the marketing campaign in comparison to past and future efforts.
You have already developed a new application component to interface with the social media site APIs in order to read the replies.
Which process should you use to record the social media replies in a durable data store that can be accessed at any time for analysis of historical data?

A. Deploy the new application component in an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) Instances, read the data from the social media sites, store it with Amazon Elastic Block Store, and use AWS Data Pipeline to publish it to Amazon Kinesis for analytics.
B. Deploy the new application component as an Elastic Beanstalk application, read the data from the social media sites, store it in Amazon DynamoDB, and use Apache Hive with Amazon Elastic MapReduce for analytics.
C. Deploy the new application component in an Auto Scaling group of Amazon EC2 instances, read the data from the social media sites, store it in Amazon Glacier, and use AWS Data Pipeline to publish it to Amazon Redshift for analytics.
D. Deploy the new application component as an Amazon Elastic Beanstalk application, read the data from the social media site, store it with Amazon Elastic Block Store, and use Amazon Kinesis to stream the data to Amazon CloudWatch for analytics.