What is the lowest-cost solution for analyzing market trend data using Amazon Kinesis?

Using Kinesis Data Analytics and triggering notifications via Lambda is the lowest-cost solution for analyzing market trend data when using Amazon Kinesis. Kinesis Data Analytics allows for real-time data processing directly from stream data, enabling you to perform SQL queries and analytics efficiently. This service is designed specifically for analyzing streaming data with minimal setup and operational overhead, which helps in reducing costs compared to other methods.

By integrating Kinesis Data Analytics with AWS Lambda, you can create a serverless architecture that automatically responds to data in real-time, minimizing waste and ensuring that you only pay for what you use. Lambda functions can be triggered in response to events in Kinesis streams, allowing for efficient and cost-effective processing and notification without the need for managing additional services or infrastructure.

Other options have higher associated costs or require more complex setups. Deploying a custom KCL application can involve significant development and operational costs, especially if scaling is required. Using AWS Batch also potentially incurs greater expenses since it is designed for batch processing rather than real-time analytics. Sending data to Amazon S3 for historical inquiries would not provide real-time analytics capabilities and would primarily focus on storage rather than analysis, which can lead to additional costs related to storage and later processing. Hence, using Kinesis Data Analytics along