Data Layer TS is a high-performance web API for storing and serving equidistant numerical time series data at scale.
It can easily store millions of time series with millions of historical data points per series.
Besides storing data, the service can also be used as a cache and compute layer to extend existing persistence solutions.
The main purpose of the service is sharing time series by providing access using the clear HTTP API for any service at any time as fast as possible.
All maintenance tasks are completely automated and there is no index fragmentation or data compaction to worry about.
Massive parallelization, SIMD operations, optimized file structures and an intelligent in-memory data management enable the incredible performance and efficiency.
A single instance can process tens of thousands of dedicated HTTP requests per second and reaches sub-millisecond latencies.
When working with data in batches, tens of millions of data points can be ingested or retrieved per second.

The documentation of the service can be found when navigating to the IP address or domain of the deployed virtual machine with any web browser.

An example instance can be found under: