Which service provides built-in time series analytics to identify trends in near real-time?

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

Answer: (B)

Time-series analytics tailored for fast, timestamped data is what you want when identifying trends as data arrives. Amazon Timestream is designed exactly for this: a fully managed time-series database that ingests, stores, and analyzes timestamped measurements efficiently. It separates recent data in memory for low-latency access and older data in magnetic storage for cost-effective long-term retention, while providing a SQL-like query interface that supports time-based aggregations and windowed analyses. This lets you spot trends, compute moving averages, and observe patterns in near real-time without building complex ETL pipelines or managing infrastructure.

Other services aren’t focused on this use case. Amazon Redshift is a general-purpose data warehouse suited for large-scale analytics, not optimized for real-time ingestion and time-series-specific analytics. AWS Cloud9 is an integrated development environment, and AWS CodeArtifact is a package repository.