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Features and workflows with Amazon Timestream for InfluxDB 3

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This article provides a technical deep dive into Amazon Timestream for InfluxDB 3, a redesigned time series database built with modern open-source technologies.

  • Built with Rust, Apache Arrow, Parquet, and Arrow Flight SQL for performance
  • Native SQL support replaces InfluxDB 2's Flux domain-specific language
  • Supports unlimited cardinality without performance tradeoffs on indexed tags
  • Uses Amazon S3 as core storage layer with 99.999999999% durability
  • Embedded Python processing engine enables real-time data transformations
  • Core edition: single-node, optimized for recent data (3-5 days)
  • Enterprise edition: multi-node clusters up to 15 nodes with compactor
  • Backwards-compatible write endpoints for InfluxDB v1 and v2
  • InfluxDB 3 Explorer provides graphical interface for management and queries
  • CloudWatch and metrics collection enable comprehensive deployment monitoring

InfluxDB 3 offers improved performance, cost efficiency, and flexibility for time series workloads including monitoring, IoT, and analytics use cases.



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