ModelarDB for
Big and Fast Time-Series Data
Why ModelarDB
Manage millisecond sensor data economically
Run analytics on both real-time and historical data
Save up to 99% on storage
Deploy flexibly across edge, cloud, and client
Open source with paid enterprise features and support
Case Study: ModelarDB for Wind and Solar Farms
High Frequency Datasets
Store and use all available sensor data with high frequency, e.g., 10, 50 or 100Hz
Support efficient analytics on historical data
Support real-time analytics
Monitor Details
Collect data across all turbines and parks
All sensor data is collected and transferred automatically
Enable Insight
Enable the use of high frequency data to detect problems
such as Yaw Misalignment, Blade Pitch Position, and PV Panel Soiling
Cost Savings
Save up to 99% on storage over Apache Parquet
Why developers use ModelarDB
Compression
Reduce storage costs by up to 99% by compressing petabytes of time series data efficiently and effectively. The data can be compressed losslessly or within a user-defined error bound.
Python Library
Read and write compressed time-series data directly in Python. The data can be stored in ModelarDB or in files, and analyzed standard Python tools such as Jupyter, Pandas, and PyTorch.
Full Power of SQL
Do analytics with full power of SQL queries transparently executed directly on compressed dasta.
Flexible Deployment
Data is collected on the edge (e.g., wind turbines), compressed, and continuously transferred to the cloud from where all data can be queried by the client.
Collaborators
About
ModelarData is a small deep-tech research-based company based in Denmark. It employs the creators of the ModelarDB project, and offers support, consulting services, and enterprise features for the system.
For more information, get in touch via the contact form or via hello@modelardata.com
Team
Harry Xuegang Huang
Chief Executive Officer
Torben Bach Pedersen
Chief Scientific Officer
​Søren Kejser Jensen
Chief Technology Officer
Christian Schmidt Godiksen
Head Developer
Christian
Thomsen
Chief Data Officer
Contact Us
For more information, get in touch with us via this contact form or via hello@modelardata.com