Which tool allows you to process and analyze streaming data using standard SQL?

Amazon Kinesis Data Analytics is specifically designed to process and analyze streaming data in real-time using standard SQL. It enables users to run continuous queries on streaming data, which makes it highly suitable for applications that need to analyze data as it flows in. This service integrates seamlessly with other Amazon Kinesis services, allowing for easy ingestion of streaming data from sources like Amazon Kinesis Data Streams or Amazon Kinesis Data Firehose.

In addition, Kinesis Data Analytics provides the capability to perform time-based aggregations, filtering, and windowed queries efficiently, making it an ideal choice for real-time analytics applications such as monitoring and alerting, backend for dashboards, and much more.

While other options like Amazon EC2 and AWS Data Pipeline do have some capabilities related to data processing, they either do not focus specifically on streaming data or require more manual setup and management, making Kinesis Data Analytics the most suitable option for the task at hand. Amazon Redshift, on the other hand, is primarily a data warehouse solution optimized for batch processing and analytics, rather than real-time streaming analysis.