Which service specializes in time-series data and near real-time analytics for IoT and operational data?

• A. Amazon Timestream
• B. Amazon Redshift
• C. AWS Cloud9
• D. AWS CodeDeploy

Answer: (A)

Time-series data with near real-time analytics for IoT and operational data requires a service designed to ingest large streams of timestamped measurements and run time-based queries efficiently. Amazon Timestream fits this need exactly. It’s a purpose-built time-series database that accepts high-volume telemetry, stores recent data in a fast memory tier and older data in a cost-effective storage tier, and provides query capabilities tailored to time-based analysis (such as aggregations over time windows, downsampling, and multi-measure data). It’s serverless, scales with demand, and integrates with IoT and analytics tools, making it well-suited for IoT telemetry and operational dashboards.

Amazon Redshift is a data warehouse optimized for broad analytics on large datasets, not specifically tuned for high-velocity time-series ingestion or near real-time IoT queries. AWS Cloud9 is an integrated development environment, and AWS CodeDeploy is a deployment service, neither of which are focused on time-series storage or real-time IoT analytics.