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Amazon Timestream

Amazon Timestream

Easy-to-manage time-series databases optimized for security, performance, availability, and scalability

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For similar capabilities to Amazon Timestream for LiveAnalytics, please consider Amazon Timestream for InfluxDB. It offers simplified data ingestion and single-digit millisecond query response times for real-time analytics. Learn more here.

What is Timestream

Timestream offers fully managed, purpose-built time-series database engines for workloads from low-latency queries to large-scale data ingestion. With Timestream for InfluxDB, you can easily run open source InfluxDB databases on AWS for time-series applications, such as real-time alerting and monitoring infrastructure reliability, with millisecond response times. InfluxDB 3 Enterprise runs as a multi-node cluster, so you can add nodes for ingest and query capacity as the workload grows, and InfluxDB 2 remains available for Flux compatibility and low double digit millisecond response times.

Use cases

    Get real-time visibility into infrastructure, applications, and networks. Ingest metrics from thousands of endpoints using Telegraf and its hundreds of plugins, detect anomalies in milliseconds, and alert before degradation becomes downtime. The same approach works whether you monitor servers and containers, telecom networks, or satellite fleets.

    Capture sensor and device data at full resolution from millions of connected endpoints, from factory floors and smart meters to vehicles and consumer devices. Query telemetry the moment it lands to track device state, correlate events across fleets, and feed downstream analytics.

    Turn high-velocity data into decisions the moment it arrives. Run millisecond queries over live streams to detect trends, power dashboards, and trigger actions in scenarios like grid balancing, fraud signals, and live operational reporting.

    Trend asset health over time to fix equipment before it fails. Combine live telemetry with years of downsampled history to spot drift, schedule interventions, and cut unplanned downtime and maintenance cost across production lines, turbines, or aircraft.

    Retain full-resolution history for engineering analysis, audits, and regulatory reporting. Use retention policies to age data automatically and keep decades of records queryable without managing archives.