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Store packet tracking and fleet management data from hundreds of thousands of devices. Efficiently handle high write rates from all monitored assets.
Build blazingly fast logistics dashboards without hurting ingest—even with billions of rows. Analyze and optimize electronic management, routes, and maintenance schedules according to data received in real time.
Lower data storage costs up to 10x via storage for rarely-accessed data and 90+% native compression rates.
Automatic data retention policies, compression, and data partitioning ensure efficient utilization of storage resources while maintaining query performance. Accommodate larger datasets, handle higher data ingestion rates, and easily support a growing number of concurrent users or devices.
Leverage the entire PostgreSQL ecosystem of tools, drivers, and connectors.
For faster reads and writes, take advantage of automatic time-based partitioning with hypertables.
Use pre-calculated continuous aggregates to accelerate queries requiring aggregated results by time interval or range. Query geospatial data about routes at the database level rather than at the application level.
Access to expert support
Get a second opinion on your database setup when you need it—at no extra cost to you.
We are available 24 x 7 x 365 to ensure that you have a lifeline when unexpected events happen.
Guided every step, never walk alone
Get assistance with migrations, data modeling, query or ingest performance, compression settings, and more.
Tailored solutions for your unique needs
When it comes to data, there is no one-size-fits-all strategy. We work with you to create a solution to meet your specific circumstances.
Learn how developers building energy apps use Timescale in production and start building with tutorials and real-world datasets.
How Octave Achieves a High Compression Ratio and Speedy Queries on Historical Data While Revolutionizing the Battery Markett
How Ndustrial Is Providing Fast Real-Time Queries and Safely Storing Client Data With 97% Compression
How I Am Planning My Photovoltaic System Using Timescale
Calculating energy use from instantaneous power usage measurements (transforming kW to kWh)
Measuring Deltas Correctly for Smart Energy Meters
Understanding general trends of the energy usage with hyperfunctions
Using IoT Sensors, Timescale, and Grafana to Control the Temperature of the Nuclear Fusion Experiment at the Max Planck Institute