API to Store and Serve Time Series Data at Scale
Data Layer TS is a high-performance, scalable web API designed for storing, serving, and analyzing massive volumes of equidistant numerical time series data. It delivers single-digit millisecond latencies and can ingest or retrieve tens of millions of data points per second.
Perfect for applications demanding high-speed data handling, Data Layer TS is especially powerful for storing large volumes of weather forecast data, managing real-time IoT sensor readings, tracking financial market data, and handling high-frequency monitoring metrics. Use it as a primary data store or as a powerful cache and compute layer to accelerate your existing systems.
Why Data Layer TS?
Incredible Performance & Efficiency: A highly-optimized architecture using massive parallelization and SIMD operations delivers extreme throughput and low latency.
Simple HTTP API: Integrate with any application, on any platform, using any programming language. No complex drivers are required.
Effortless Operations & Management: Forget about manual maintenance. Indexing and data compaction are fully automated. Seamless Azure integration lets you control backups, infrastructure resizing, and power state directly from the portal.
On-the-Fly Data Transformation: Go beyond simple data retrieval with powerful built-in functions, such as temporal resampling to adjust data resolution as you query it.
Massive Scalability: Built to handle millions of time series with millions of data points each, ensuring it grows with your data.
Live Demo & Documentation:
Full interactive API documentation is hosted directly on your deployed instance. Simply navigate to its public IP address or domain in your browser to get started.
Explore a live example instance here.