Time series data is a sequence of data points collected over time intervals, allowing us to track how something changes over milliseconds, days, or even years. This feature-rich data does not simply include time as an aspect, but as a primary component of the data that helps developers analyze data and gather meaningful insights.
Record device temperatures and other operational metrics, from smart factories to controlling nuclear fusion experiments. Make better decisions through real-time dashboards and historical data analysis.
Track the impact of world events on the price of stocks, cryptocurrencies and other financial assets in real time. Analyze the historical behavior of assets to spot trends and inform trading strategies.
Analyze real-time cryptocurrency price movements, activity on blockchains like Bitcoin, Ethereum and Solana, and trends in NFT trading over time.
See how mobile application usage varies over time as new features are released. Understand users better by segmenting them by their in-app activity.
Keep the software services we rely on running without interruption by tracking operational metrics for servers, networks, applications, environments, and more, spotting anomalies and responding to incidents in real-time.
“Our SmartCast Link appliance uses TimescaleDB to collect sensor readings from IoT-enabled lighting products. From our experience, TimescaleDB is uniquely positioned in the time-series database market as the only serious player that scales while natively supporting a robust, proven SQL engine.”
Shane O'Donnell, IoT Data Architect at Cree