sat-nms database
For some applications its required to store additional data on the M&C system. For these purposes our platform provides a reliable and scalable database service that enables customers to securely store and manage data. By handling database provisioning, configuration, and maintenance in the background, we allow users to focus entirely on their operations instead of database management.
The solution is designed to integrate seamlessly into your existing environment. Whether you’re running a small installation on a single sat-nms MNC server or using a fully redundant database cluster, you have complete flexibility.
We rely on PostgreSQL, the world's most advanced open-source relational database - proven, stable and powerful to ensure reliability, scalability and long-term support.
We deliver our systems with a pre-installed and pre-configured database, including automated migration scripts to handle future schema updates, eliminating the need for manual database administration. For customers already operating PostgreSQL clusters, our platform can easily connect to existing database environments.
Features
- Satellites and antennas: store satellites and their positions together with TLE or i11 elements, beacons and more
- Channels: manage satellite and IP streaming channels and push related settings directly to the equipment
- Stream key: store BISS and Streaming keys to inject them easily into IRDs and Encoders
- Inventory: keep track of your equipment and maintenance information to your devices
- Measurement records: store and analyze any kind of parameter coming from your devices in a time series database(*)
Data recorder
Our integrated data recorder is powered by TimescaleDB, a leading time-series database built on PostgreSQL, enabling efficient storage and analysis of telemetry and sensor data at scale.
- Efficient data collection: Capture relevant parameters, at defined intervals or on value changes.
- Optimized storage: store large volumes of historical data efficiently using compression and scalable architecture.
- Real-Time & historical analytics: query and analyze both live and historical data to gain operational insights.
- Visualization & correlation: explore data through flexible graphs and correlate multiple parameters for deeper analysis.
- Data export: export queried data as CSV files for further analysis or external use.
- Alerting & thresholds: define thresholds, trigger alarms, and measure duration of critical conditions.
- Data lifecycle management: manage retention policies and database behavior to balance performance and storage requirements.
