API to Store and Serve Time Series Data at Scale
Data Layer TS is a high-performance API for storing and serving massive volumes of equidistant time-series data. It delivers single-digit millisecond latency with throughput reaching tens of millions of points per second. Whether used as a primary store or a high-speed cache, it accelerates IoT, financial, and weather data workloads.
Why Data Layer TS?
Extreme Speed: Optimized via massive parallelization and SIMD operations.
Simple HTTP API: Universal integration without the need for complex drivers.
Zero Maintenance: Automated indexing, compaction, and native Azure scaling.
On-the-Fly Compute: Built-in temporal resampling and data transformation.
Massive Scalability: Built for millions of series and billions of data points.
Get Started: Access the interactive documentation via your instance's URL or here.