Transform your work with a time series database
Timescale is built to handle the scale and complexity of time series data to give you high performance, faster development, and lower storage costs.
Why use Timescale for my time series data?
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.
- Get 10-100x faster time series queries than vanilla PostgreSQL, InfluxDB, and MongoDB with automatic time-based partitioning and indexing. Give your users answers in milliseconds, not minutes with Timescale’s continuous aggregates.
Supercharge performance
- Scale PostgreSQL for time series, events, and analytics with automatic time-based partitioning and indexing, incrementally-updated materialized views, columnar compression, and time series hyperfunctions.
Build faster
- Get 90+% storage savings via columnar compression. Seamlessly tier data into consumption-based object storage, while still querying tiered data in SQL.
Scale efficiently
Who uses time series data?
Time series data can be found in a variety of sectors and industries, and is leveraged by companies large and small.
Internet of Things
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.
Finance
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.
Web3 and blockchain
Analyze real-time cryptocurrency price movements, activity on blockchains like Bitcoin, Ethereum and Solana, and trends in NFT trading over time.
Application monitoring
See how mobile application usage varies over time as new features are released. Understand users better by segmenting them by their in-app activity.
Observability
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
